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,{"id":70037833,"text":"fs20113123 - 2012 - Watershed scale response to climate change--Naches River Basin, Washington","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"fs20113123","displayToPublicDate":"2012-03-19T13:32:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3123","title":"Watershed scale response to climate change--Naches River Basin, Washington","docAbstract":"<p>General Circulation Model simulations of future climate through 2099 project a wide range of possible scenarios. To determine the sensitivity and potential effect of long-term climate change on the freshwater resources of the United States, the U.S. Geological Survey Global Change study, \"An integrated watershed scale response to global change in selected basins across the United States\" was started in 2008. The long-term goal of this national study is to provide the foundation for hydrologically based climate change studies across the nation.</p>\n<p>Fourteen basins for which the Precipitation Runoff Modeling System has been calibrated and evaluated were selected as study sites. Precipitation Runoff Modeling System is a deterministic, distributed parameter watershed model developed to evaluate the effects of various combinations of precipitation, temperature, and land use on streamflow and general basin hydrology. Output from five General Circulation Model simulations and four emission scenarios were used to develop an ensemble of climate-change scenarios for each basin. These ensembles were simulated with the corresponding Precipitation Runoff Modeling System model. This fact sheet summarizes the hydrologic effect and sensitivity of the Precipitation Runoff Modeling System simulations to climate change for the Naches River Basin below Tieton River in Washington.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113123","usgsCitation":"Mastin, M.C., Hay, L.E., and Markstrom, S., 2012, Watershed scale response to climate change--Naches River Basin, Washington: U.S. Geological Survey Fact Sheet 2011-3123, 6 p., https://doi.org/10.3133/fs20113123.","productDescription":"6 p.","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":246748,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3123.gif"},{"id":246740,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3123/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"Naches River Basin;Tieton River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.50083333333333,46.416666666666664 ], [ -121.50083333333333,47.166666666666664 ], [ -120.76666666666667,47.166666666666664 ], [ -120.76666666666667,46.416666666666664 ], [ -121.50083333333333,46.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf80e4b08c986b32e929","contributors":{"authors":[{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":462844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":462846,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037832,"text":"fs20113122 - 2012 - Watershed scale response to climate change--Pomperaug River Watershed, Connecticut","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"fs20113122","displayToPublicDate":"2012-03-19T13:22:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3122","title":"Watershed scale response to climate change--Pomperaug River Watershed, Connecticut","docAbstract":"<p>General Circulation Model simulations of future climate through 2099 project a wide range of possible scenarios. To determine the sensitivity and potential effect of long-term climate change on the freshwater resources of the United States, the U.S. Geological Survey Global Change study, \"An integrated watershed scale response to global change in selected basins across the United States\" was started in 2008. The long-term goal of this national study is to provide the foundation for hydrologically based climate change studies across the nation.</p>\n<p>Fourteen basins for which the Precipitation Runoff Modeling System has been calibrated and evaluated were selected as study sites. Precipitation Runoff Modeling System is a deterministic, distributed parameter watershed model developed to evaluate the effects of various combinations of precipitation, temperature, and land use on streamflow and general basin hydrology. Output from five General Circulation Model simulations and four emission scenarios were used to develop an ensemble of climate-change scenarios for each basin. These ensembles were simulated with the corresponding Precipitation Runoff Modeling System model. This fact sheet summarizes the hydrologic effect and sensitivity of the Precipitation Runoff Modeling System simulations to climate change for the Pomperaug River Basin at Southbury, Connecticut.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Restion, VA","doi":"10.3133/fs20113122","usgsCitation":"Bjerklie, D.M., Hay, L.E., and Markstrom, S., 2012, Watershed scale response to climate change--Pomperaug River Watershed, Connecticut: U.S. Geological Survey Fact Sheet 2011-3122, 6 p., https://doi.org/10.3133/fs20113122.","productDescription":"6 p.","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":246751,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3122.gif"},{"id":246739,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3122/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Connecticut","city":"Southbury","otherGeospatial":"Pomperaug River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.3,41.45 ], [ -73.3,41.66777777777777 ], [ -73.15,41.66777777777777 ], [ -73.15,41.45 ], [ -73.3,41.45 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf80e4b08c986b32e92c","contributors":{"authors":[{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":462841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":462842,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037830,"text":"fs20113121 - 2012 - Watershed scale response to climate change--Sagehen Creek Basin, California","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"fs20113121","displayToPublicDate":"2012-03-19T13:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3121","title":"Watershed scale response to climate change--Sagehen Creek Basin, California","docAbstract":"<p>General Circulation Model simulations of future climate through 2099 project a wide range of possible scenarios. To determine the sensitivity and potential effect of long-term climate change on the freshwater resources of the United States, the U.S. Geological Survey Global Change study, \"An integrated watershed scale response to global change in selected basins across the United States\" was started in 2008. The long-term goal of this national study is to provide the foundation for hydrologically based climate change studies across the nation.</p>\n<p>Fourteen basins for which the Precipitation Runoff Modeling System has been calibrated and evaluated were selected as study sites. Precipitation Runoff Modeling System is a deterministic, distributed parameter watershed model developed to evaluate the effects of various combinations of precipitation, temperature, and land use on streamflow and general basin hydrology. Output from five General Circulation Model simulations and four emission scenarios were used to develop an ensemble of climate-change scenarios for each basin. These ensembles were simulated with the corresponding Precipitation Runoff Modeling System model. This fact sheet summarizes the hydrologic effect and sensitivity of the Precipitation Runoff Modeling System simulations to climate change for the Sagehen Creek Basin near Truckee, California.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113121","usgsCitation":"Markstrom, S., Hay, L.E., and Regan, R.S., 2012, Watershed scale response to climate change--Sagehen Creek Basin, California: U.S. Geological Survey Fact Sheet 2011-3121, 6 p., https://doi.org/10.3133/fs20113121.","productDescription":"6 p.","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":246747,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3121.gif"},{"id":246738,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3121/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","city":"Truckee","otherGeospatial":"Sagehen Creek Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.31666666666666,39.4 ], [ -120.31666666666666,39.45111111111111 ], [ -120.23416666666667,39.45111111111111 ], [ -120.23416666666667,39.4 ], [ -120.31666666666666,39.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf81e4b08c986b32e932","contributors":{"authors":[{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":462839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":462838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Regan, R. Steven 0000-0003-4803-8596","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":87237,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":462840,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037829,"text":"fs20113120 - 2012 - Watershed scale response to climate change--Sprague River Basin, Oregon","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"fs20113120","displayToPublicDate":"2012-03-19T13:02:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3120","title":"Watershed scale response to climate change--Sprague River Basin, Oregon","docAbstract":"<p>General Circulation Model simulations of future climate through 2099 project a wide range of possible scenarios. To determine the sensitivity and potential effect of long-term climate change on the freshwater resources of the United States, the U.S. Geological Survey Global Change study, \"An integrated watershed scale response to global change in selected basins across the United States\" was started in 2008. The long-term goal of this national study is to provide the foundation for hydrologically based climate change studies across the nation.</p>\n<p>Fourteen basins for which the Precipitation Runoff Modeling System has been calibrated and evaluated were selected as study sites. Precipitation Runoff Modeling System is a deterministic, distributed parameter watershed model developed to evaluate the effects of various combinations of precipitation, temperature, and land use on streamflow and general basin hydrology. Output from five General Circulation Model simulations and four emission scenarios were used to develop an ensemble of climate-change scenarios for each basin. These ensembles were simulated with the corresponding Precipitation Runoff Modeling System model. This fact sheet summarizes the hydrologic effect and sensitivity of the Precipitation Runoff Modeling System simulations to climate change for the Sprague River Basin near Chiloquin, Oregon.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113120","usgsCitation":"Risley, J., Hay, L.E., and Markstrom, S., 2012, Watershed scale response to climate change--Sprague River Basin, Oregon: U.S. Geological Survey Fact Sheet 2011-3120, 6 p., https://doi.org/10.3133/fs20113120.","productDescription":"6 p.","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":246749,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3120.gif"},{"id":246737,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3120/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","city":"Chiloquin","otherGeospatial":"Sprague River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.83333333333333,42.166666666666664 ], [ -121.83333333333333,42.95 ], [ -120.78333333333333,42.95 ], [ -120.78333333333333,42.166666666666664 ], [ -121.83333333333333,42.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf83e4b08c986b32e93b","contributors":{"authors":[{"text":"Risley, John","contributorId":38128,"corporation":false,"usgs":true,"family":"Risley","given":"John","affiliations":[],"preferred":false,"id":462837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":462835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":462836,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037828,"text":"fs20113119 - 2012 - Watershed scale response to climate change--Trout Lake Basin, Wisconsin","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"fs20113119","displayToPublicDate":"2012-03-19T12:48:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3119","title":"Watershed scale response to climate change--Trout Lake Basin, Wisconsin","docAbstract":"<p>General Circulation Model simulations of future climate through 2099 project a wide range of possible scenarios. 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These ensembles were simulated with the corresponding Precipitation Runoff Modeling System model. This fact sheet summarizes the hydrologic effect and sensitivity of the Precipitation Runoff Modeling System simulations to climate change for the Trout River Basin at Trout Lake in northern Wisconsin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113119","usgsCitation":"Walker, J.F., Hunt, R.J., Hay, L.E., and Markstrom, S., 2012, Watershed scale response to climate change--Trout Lake Basin, Wisconsin: U.S. Geological Survey Fact Sheet 2011-3119, 6 p., https://doi.org/10.3133/fs20113119.","productDescription":"6 p.","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":246736,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3119.gif"},{"id":246732,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3119/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wisconsin","otherGeospatial":"Trout Lake Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.70083333333334,45.967777777777776 ], [ -89.70083333333334,46.100833333333334 ], [ -89.55,46.100833333333334 ], [ -89.55,45.967777777777776 ], [ -89.70083333333334,45.967777777777776 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf84e4b08c986b32e947","contributors":{"authors":[{"text":"Walker, John F. jfwalker@usgs.gov","contributorId":1081,"corporation":false,"usgs":true,"family":"Walker","given":"John","email":"jfwalker@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":462833,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":462834,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037827,"text":"fs20113118 - 2012 - Watershed scale response to climate change--Starkweather Coulee Basin, North Dakota","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"fs20113118","displayToPublicDate":"2012-03-19T12:37:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3118","title":"Watershed scale response to climate change--Starkweather Coulee Basin, North Dakota","docAbstract":"<p>General Circulation Model simulations of future climate through 2099 project a wide range of possible scenarios. To determine the sensitivity and potential effect of long-term climate change on the freshwater resources of the United States, the U.S. Geological Survey Global Change study, \"An integrated watershed scale response to global change in selected basins across the United States\" was started in 2008. The long-term goal of this national study is to provide the foundation for hydrologically based climate change studies across the nation.</p>\n<p>Fourteen basins for which the Precipitation Runoff Modeling System has been calibrated and evaluated were selected as study sites. Precipitation Runoff Modeling System is a deterministic, distributed parameter watershed model developed to evaluate the effects of various combinations of precipitation, temperature, and land use on streamflow and general basin hydrology. Output from five General Circulation Model simulations and four emission scenarios were used to develop an ensemble of climate-change scenarios for each basin. These ensembles were simulated with the corresponding Precipitation Runoff Modeling System model. This fact sheet summarizes the hydrologic effect and sensitivity of the Precipitation Runoff Modeling System simulations to climate change for the Starkweather Coulee Basin near Webster, North Dakota.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113118","usgsCitation":"Vining, K.C., Hay, L.E., and Markstrom, S., 2012, Watershed scale response to climate change--Starkweather Coulee Basin, North Dakota: U.S. Geological Survey Fact Sheet 2011-3118, 6 p., https://doi.org/10.3133/fs20113118.","productDescription":"6 p.","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":246735,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3118.gif"},{"id":246731,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3118/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Dakota","city":"Webster","otherGeospatial":"Starkweather Coulee Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.96666666666667,48.3 ], [ -98.96666666666667,48.81666666666667 ], [ -98.63333333333334,48.81666666666667 ], [ -98.63333333333334,48.3 ], [ -98.96666666666667,48.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf84e4b08c986b32e941","contributors":{"authors":[{"text":"Vining, Kevin C. 0000-0001-5738-3872 kcvining@usgs.gov","orcid":"https://orcid.org/0000-0001-5738-3872","contributorId":308,"corporation":false,"usgs":true,"family":"Vining","given":"Kevin","email":"kcvining@usgs.gov","middleInitial":"C.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":462829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":462830,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037826,"text":"fs20113117 - 2012 - Watershed scale response to climate change--Yampa River Basin, Colorado","interactions":[],"lastModifiedDate":"2018-08-15T14:59:00","indexId":"fs20113117","displayToPublicDate":"2012-03-19T12:17:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3117","title":"Watershed scale response to climate change--Yampa River Basin, Colorado","docAbstract":"<p>General Circulation Model simulations of future climate through 2099 project a wide range of possible scenarios. To determine the sensitivity and potential effect of long-term climate change on the freshwater resources of the United States, the U.S. Geological Survey Global Change study, \"An integrated watershed scale response to global change in selected basins across the United States\" was started in 2008. The long-term goal of this national study is to provide the foundation for hydrologically based climate change studies across the nation.</p>\r\n<p>Fourteen basins for which the Precipitation Runoff Modeling System has been calibrated and evaluated were selected as study sites. Precipitation Runoff Modeling System is a deterministic, distributed parameter watershed model developed to evaluate the effects of various combinations of precipitation, temperature, and land use on streamflow and general basin hydrology. Output from five General Circulation Model simulations and four emission scenarios were used to develop an ensemble of climate-change scenarios for each basin. These ensembles were simulated with the corresponding Precipitation Runoff Modeling System model. This fact sheet summarizes the hydrologic effect and sensitivity of the Precipitation Runoff Modeling System simulations to climate change for the Yampa River Basin at Steamboat Springs, Colorado.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113117","usgsCitation":"Hay, L.E., Battaglin, W.A., and Markstrom, S., 2012, Watershed scale response to climate change--Yampa River Basin, Colorado: U.S. Geological Survey Fact Sheet 2011-3117, 6 p., https://doi.org/10.3133/fs20113117.","productDescription":"6 p.","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":246733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3117.gif"},{"id":246730,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3117/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","city":"Steamboat Springs","otherGeospatial":"Yampa River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.18333333333334,39.96666666666667 ], [ -107.18333333333334,40.21666666666667 ], [ -106.65,40.21666666666667 ], [ -106.65,39.96666666666667 ], [ -107.18333333333334,39.96666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf85e4b08c986b32e94d","contributors":{"authors":[{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":462825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":462827,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037825,"text":"fs20113116 - 2012 - Watershed scale response to climate change--Flint River Basin, Georgia","interactions":[],"lastModifiedDate":"2016-12-07T11:21:40","indexId":"fs20113116","displayToPublicDate":"2012-03-19T12:01:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3116","title":"Watershed scale response to climate change--Flint River Basin, Georgia","docAbstract":"<p>General Circulation Model simulations of future climate through 2099 project a wide range of possible scenarios. To determine the sensitivity and potential effect of long-term climate change on the freshwater resources of the United States, the U.S. Geological Survey Global Change study, \"An integrated watershed scale response to global change in selected basins across the United States\" was started in 2008. The long-term goal of this national study is to provide the foundation for hydrologically based climate change studies across the nation.</p>\n<p>Fourteen basins for which the Precipitation Runoff Modeling System has been calibrated and evaluated were selected as study sites. Precipitation Runoff Modeling System is a deterministic, distributed parameter watershed model developed to evaluate the effects of various combinations of precipitation, temperature, and land use on streamflow and general basin hydrology. Output from five General Circulation Model simulations and four emission scenarios were used to develop an ensemble of climate-change scenarios for each basin. These ensembles were simulated with the corresponding Precipitation Runoff Modeling System model. This fact sheet summarizes the hydrologic effect and sensitivity of the Precipitation Runoff Modeling System simulations to climate change for the Flint River Basin at Montezuma, Georgia.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113116","usgsCitation":"Hay, L.E., and Markstrom, S., 2012, Watershed scale response to climate change--Flint River Basin, Georgia: U.S. Geological Survey Fact Sheet 2011-3116, 6 p., https://doi.org/10.3133/fs20113116.","productDescription":"6 p.","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":246734,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3116.gif"},{"id":246729,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3116/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","city":"Montezuma","otherGeospatial":"Flint River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.75,32.266666666666666 ], [ -84.75,33.666666666666664 ], [ -83.93333333333334,33.666666666666664 ], [ -83.93333333333334,32.266666666666666 ], [ -84.75,32.266666666666666 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf7fe4b08c986b32e923","contributors":{"authors":[{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":462823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":462824,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037824,"text":"sir20125010 - 2012 - Groundwater availability in the Lahaina District, west Maui, Hawai'i","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"sir20125010","displayToPublicDate":"2012-03-19T08:43:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5010","title":"Groundwater availability in the Lahaina District, west Maui, Hawai'i","docAbstract":"<p>Most of the public water supply in the Lahaina District, west Maui, Hawai'i, is pumped from a freshwater lens in volcanic rocks. Because of population growth, groundwater withdrawals from wells in this area are expected to increase from about 5.8 million gallons per day in 2007 to more than 11 million gallons per day by 2030. Currently (2011), the salinity of water pumped from some of the wells in the area exceeds acceptable limits for drinking water. The expected increasing demand for water in an area in which the salinity of water is already unacceptable has led to concern over the long-term sustainability of withdrawals from existing and proposed wells.</p>\n<p>A three-dimensional numerical groundwater flow and transport model was developed to simulate the effects of hypothetical withdrawal and recharge scenarios on water levels and on the transition zone between freshwater and saltwater. The model was constructed using time-varying recharge, withdrawals, and ocean levels. Hydraulic characteristics used to construct the model were initially based on published estimates but ultimately were varied to obtain better agreement between simulated and measured water levels and salinity profiles in the modeled area during 1926&ndash;2008. Scenarios included groundwater withdrawal at 2008&ndash;09 rates and locations with projected recharge (based on 2000&ndash;04 land use, no agricultural irrigation, and the rainfall record for the period 1926&ndash;2004) and withdrawal at redistributed rates and locations with several different recharge scenarios.</p>\n<p>Simulation results indicate that continuing the 2008&ndash;09 withdrawal rates and distribution (6.3 million gallons per day from 21 wells) into the future would result in decreased water levels, a thinner freshwater lens, and increased salinity of water pumped from wells. Groundwater demand projections and proposed new well sites were used to produce a projected withdrawal rate and distribution during 2010&ndash;39. Simulation results from this projected withdrawal scenario (11.2 million gallons per day from 28 wells, including 10 proposed wells) also indicate decreased water levels, a thinner freshwater lens, increased water salinity, and unacceptable salinity at several current withdrawal sites, mainly in the Honok&#333;wai Aquifer System; however, more groundwater is available than in the previous scenario. A simulation in which injection of treated wastewater is stopped indicates that several wells will have increased salinities compared to the scenario in which injection continues.</p>\n<p>A scenario in which increased groundwater withdrawal was redistributed in an attempt to maximize withdrawal while maintaining acceptable salinities in the withdrawn water was simulated. The redistributed withdrawal simulates 20.7 million gallons per day of withdrawal from 26 wells or well fields in the Lahaina District. Simulation results indicate the following: (1) average water levels decrease by about 0.5&ndash;1 feet and the transition zone rises 20&ndash;50 feet in some areas after 30 years, mainly in the Launiupoko Aquifer System near the proposed wells, and (2), all wells produce water with salinities in the acceptable class (less than one-percent seawater salinity) after 30 years.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125010","collaboration":"Prepared in cooperation with the County of Maui Department of Water Supply","usgsCitation":"Gingerich, S.B., and Engott, J.A., 2012, Groundwater availability in the Lahaina District, west Maui, Hawai'i: U.S. Geological Survey Scientific Investigations Report 2012-5010, x, 73 p.; Appendices, https://doi.org/10.3133/sir20125010.","productDescription":"x, 73 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":246728,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5010.gif"},{"id":246727,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5010/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","otherGeospatial":"West Maui;Lahaina District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.7,20.766666666666666 ], [ -156.7,21.05 ], [ -156.53333333333333,21.05 ], [ -156.53333333333333,20.766666666666666 ], [ -156.7,20.766666666666666 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2d92e4b0c8380cd5bf2f","contributors":{"authors":[{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037803,"text":"ofr20111246 - 2012 - Moderate-resolution sea surface temperature data and seasonal pattern analysis for the Arctic Ocean ecoregions","interactions":[],"lastModifiedDate":"2016-05-03T16:07:59","indexId":"ofr20111246","displayToPublicDate":"2012-03-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1246","title":"Moderate-resolution sea surface temperature data and seasonal pattern analysis for the Arctic Ocean ecoregions","docAbstract":"<p>Sea surface temperature (SST) is an important environmental characteristic in determining the suitability and sustainability of habitats for marine organisms. In particular, the fate of the Arctic Ocean, which provides critical habitat to commercially important fish, is in question. This poses an intriguing problem for future research of Arctic environments - one that will require examination of long-term SST records. This publication describes and provides access to an easy-to-use Arctic SST dataset for ecologists, biogeographers, oceanographers, and other scientists conducting research on habitats and/or processes in the Arctic Ocean. The data cover the Arctic ecoregions as defined by the \"Marine Ecoregions of the World\" (MEOW) biogeographic schema developed by The Nature Conservancy as well as the region to the north from approximately 46&deg;N to about 88&deg;N (constrained by the season and data coverage). The data span a 29-year period from September 1981 to December 2009. These SST data were derived from Advanced Very High Resolution Radiometer (AVHRR) instrument measurements that had been compiled into monthly means at 4-kilometer grid cell spatial resolution. The processed data files are available in ArcGIS geospatial datasets (raster and point shapefiles) and also are provided in text (.csv) format. All data except the raster files include attributes identifying latitude/longitude coordinates, and realm, province, and ecoregion as defined by the MEOW classification schema. A seasonal analysis of these Arctic ecoregions reveals a wide range of SSTs experienced throughout the Arctic, both over the course of an annual cycle and within each month of that cycle. Sea ice distribution plays a major role in SST regulation in all Arctic ecoregions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111246","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Payne, M.C., Reusser, D.A., and Lee, H., 2012, Moderate-resolution sea surface temperature data and seasonal pattern analysis for the Arctic Ocean ecoregions: U.S. Geological Survey Open-File Report 2011-1246, iv, 20 p., https://doi.org/10.3133/ofr20111246.","productDescription":"iv, 20 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1981-09-01","temporalEnd":"2009-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":246673,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1246.png"},{"id":320934,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1246/OFR2011-1246.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":246670,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1246/","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Arctic Ocean","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c84e4b0c8380cd6fd64","contributors":{"authors":[{"text":"Payne, Meredith C.","contributorId":102993,"corporation":false,"usgs":true,"family":"Payne","given":"Meredith","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":462771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reusser, Deborah A. dreusser@usgs.gov","contributorId":2423,"corporation":false,"usgs":true,"family":"Reusser","given":"Deborah","email":"dreusser@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":462769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Henry II","contributorId":40334,"corporation":false,"usgs":true,"family":"Lee","given":"Henry","suffix":"II","affiliations":[],"preferred":false,"id":462770,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037816,"text":"sir20115077 - 2012 - Integrated watershed-scale response to climate change for selected basins across the United States","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20115077","displayToPublicDate":"2012-03-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5077","title":"Integrated watershed-scale response to climate change for selected basins across the United States","docAbstract":"A study by the U.S. Geological Survey (USGS) evaluated the hydrologic response to different projected carbon emission scenarios of the 21st century using a hydrologic simulation model. This study involved five major steps: (1) setup, calibrate and evaluated the Precipitation Runoff Modeling System (PRMS) model in 14 basins across the United States by local USGS personnel; (2) acquire selected simulated carbon emission scenarios from the World Climate Research Programme's Coupled Model Intercomparison Project; (3) statistical downscaling of these scenarios to create PRMS input files which reflect the future climatic conditions of these scenarios; (4) generate PRMS projections for the carbon emission scenarios for the 14 basins; and (5) analyze the modeled hydrologic response. This report presents an overview of this study, details of the methodology, results from the 14 basin simulations, and interpretation of these results. A key finding is that the hydrological response of the different geographical regions of the United States to potential climate change may be different, depending on the dominant physical processes of that particular region. Also considered is the tremendous amount of uncertainty present in the carbon emission scenarios and how this uncertainty propagates through the hydrologic simulations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115077","usgsCitation":"Markstrom, S., Hay, L.E., Ward-Garrison, D.C., Risley, J.C., Battaglin, W.A., Bjerklie, D.M., Chase, K.J., Christiansen, D.E., Dudley, R.W., Hunt, R.J., Koczot, K.M., Mastin, M.C., Regan, R.S., Viger, R., Vining, K.C., and Walker, J.F., 2012, Integrated watershed-scale response to climate change for selected basins across the United States: U.S. Geological Survey Scientific Investigations Report 2011-5077, x, 134 p.; Appendix, https://doi.org/10.3133/sir20115077.","productDescription":"x, 134 p.; Appendix","startPage":"i","endPage":"143","numberOfPages":"153","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":246726,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5077.gif"},{"id":246717,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5077/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c70e4b0c8380cd62d31","contributors":{"authors":[{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":462803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":462800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward-Garrison, D. Christian","contributorId":90606,"corporation":false,"usgs":true,"family":"Ward-Garrison","given":"D.","email":"","middleInitial":"Christian","affiliations":[],"preferred":false,"id":462809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462801,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":462797,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Christiansen, Daniel E. 0000-0001-6108-2247 dechrist@usgs.gov","orcid":"https://orcid.org/0000-0001-6108-2247","contributorId":366,"corporation":false,"usgs":true,"family":"Christiansen","given":"Daniel","email":"dechrist@usgs.gov","middleInitial":"E.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462796,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462805,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462799,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Koczot, Kathryn M. 0000-0001-5728-9798 kmkoczot@usgs.gov","orcid":"https://orcid.org/0000-0001-5728-9798","contributorId":2039,"corporation":false,"usgs":true,"family":"Koczot","given":"Kathryn","email":"kmkoczot@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462804,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462802,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Regan, R. Steven 0000-0003-4803-8596","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":87237,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":462808,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Viger, Roland J.","contributorId":97528,"corporation":false,"usgs":true,"family":"Viger","given":"Roland J.","affiliations":[],"preferred":false,"id":462810,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Vining, Kevin C. 0000-0001-5738-3872 kcvining@usgs.gov","orcid":"https://orcid.org/0000-0001-5738-3872","contributorId":308,"corporation":false,"usgs":true,"family":"Vining","given":"Kevin","email":"kcvining@usgs.gov","middleInitial":"C.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462795,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Walker, John F. jfwalker@usgs.gov","contributorId":1081,"corporation":false,"usgs":true,"family":"Walker","given":"John","email":"jfwalker@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462798,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70037796,"text":"sir20115227 - 2012 - Simulation of groundwater conditions and streamflow depletion to evaluate water availability in a Freeport, Maine, watershed","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20115227","displayToPublicDate":"2012-03-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5227","title":"Simulation of groundwater conditions and streamflow depletion to evaluate water availability in a Freeport, Maine, watershed","docAbstract":"In order to evaluate water availability in the State of Maine, the U.S. Geological Survey (USGS) and the Maine Geological Survey began a cooperative investigation to provide the first rigorous evaluation of watersheds deemed \"at risk\" because of the combination of instream flow requirements and proportionally large water withdrawals. The study area for this investigation includes the Harvey and Merrill Brook watersheds and the Freeport aquifer in the towns of Freeport, Pownal, and Yarmouth, Maine. A numerical groundwater- flow model was used to evaluate groundwater withdrawals, groundwater-surface-water interactions, and the effect of water-management practices on streamflow. The water budget illustrates the effect that groundwater withdrawals have on streamflow and the movement of water within the system. Streamflow measurements were made following standard USGS techniques, from May through September 2009 at one site in the Merrill Brook watershed and four sites in the Harvey Brook watershed. A record-extension technique was applied to estimate long-term monthly streamflows at each of the five sites. The conceptual model of the groundwater system consists of a deep, confined aquifer (the Freeport aquifer) in a buried valley that trends through the middle of the study area, covered by a discontinuous confining unit, and topped by a thin upper saturated zone that is a mixture of sandy units, till, and weathered clay. Harvey and Merrill Brooks flow southward through the study area, and receive groundwater discharge from the upper saturated zone and from the deep aquifer through previously unknown discontinuities in the confining unit. The Freeport aquifer gets most of its recharge from local seepage around the edges of the confining unit, the remainder is received as inflow from the north within the buried valley. Groundwater withdrawals from the Freeport aquifer in the study area were obtained from the local water utility and estimated for other categories. Overall, the public-supply withdrawals (105.5 million gallons per year (Mgal/yr)) were much greater than those for any other category, being almost 7 times greater than all domestic well withdrawals (15.3 Mgal/yr). Industrial withdrawals in the study area (2.0 Mgal/yr) are mostly by a company that withdraws from an aquifer at the edge of the Merrill Brook watershed. Commercial withdrawals are very small (1.0 Mgal/yr), and no irrigation or other agricultural withdrawals were identified in this study area. A three-dimensional, steady-state groundwater-flow model was developed to evaluate stream-aquifer interactions and streamflow depletion from pumping, to help refine the conceptual model, and to predict changes in streamflow resulting from changes in pumping and recharge. Groundwater levels and flow in the Freeport aquifer study area were simulated with the three-dimensional, finite-difference groundwater-flow modeling code, MODFLOW-2005. Study area hydrology was simulated with a 3-layer model, under steady-state conditions. The groundwater model was used to evaluate changes that could occur in the water budgets of three parts of the local hydrologic system (the Harvey Brook watershed, the Merrill Brook watershed, and the buried aquifer from which pumping occurs) under several different climatic and pumping scenarios. The scenarios were (1) no pumping well withdrawals; (2) current (2009) pumping, but simulated drought conditions (20-percent reduction in recharge); (3) current (2009) recharge, but a 50-percent increase in pumping well withdrawals for public supply; and (4) drought conditions and increased pumping combined. In simulated drought situations, the overall recharge to the buried valley is about 15 percent less and the total amount of streamflow in the model area is reduced by about 19 percent. Without pumping, infiltration to the buried valley aquifer around the confining unit decreased by a small amount (0.05 million gallons per day (Mgal/d)), and discharge to the streams increased by about 8 percent (0.3 Mgal/d). A 50-percent increase in pumping resulted in a simulated decrease in streamflow discharge of about 4 percent (0.14 Mgal/d). Streamflow depletion in Harvey Brook was evaluated by use of the numerical groundwater-flow model and an analytical model. The analytical model estimated negligible depletion from Harvey Brook under current (2009) pumping conditions, whereas the numerical model estimated that flow to Harvey Brook decreased 0.38 cubic feet per second (ft<sup>3</sup>/s) because of the pumping well withdrawals. A sensitivity analysis of the analytical model method showed that conducting a cursory evaluation using an analytical model of streamflow depletion using available information may result in a very wide range in results, depending on how well the hydraulic conductivity variables and aquifer geometry of the system are known, and how well the aquifer fits the assumptions of the model. Using the analytical model to evaluate the streamflow depletion with an incomplete understanding of the hydrologic system gave results that seem unlikely to reflect actual streamflow depletion in the Freeport aquifer study area. In contrast, the groundwater-flow model was a more robust method of evaluating the amount of streamflow depletion that results from withdrawals in the Freeport aquifer, and could be used to evaluate streamflow depletion in both streams. Simulations of streamflow without pumping for each measurement site were compared to the calibratedmodel streamflow (with pumping), the difference in the total being streamflow depletion. Simulations without pumping resulted in a simulated increase in the steady-state flow rate of 0.38 ft<sup>3</sup>/s in Harvey Brook and 0.01 ft<sup>3</sup>/s in Merrill Brook. This translates into a streamflow-depletion amount equal to about 8.5 percent of the steady-state base flow in Harvey Brook, and an unmeasurable amount of depletion in Merrill Brook. If pumping was increased by 50 percent and recharge reduced by 20 percent, the amount of streamflow depletion in Harvey Brook could reach 1.41 ft<sup>3</sup>/s.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115227","collaboration":"Prepared in cooperation with the Maine Geological Survey","usgsCitation":"Nielsen, M.G., and Locke, D., 2012, Simulation of groundwater conditions and streamflow depletion to evaluate water availability in a Freeport, Maine, watershed: U.S. Geological Survey Scientific Investigations Report 2011-5227, viii, 57 p.; Appendices, https://doi.org/10.3133/sir20115227.","productDescription":"viii, 57 p.; Appendices","onlineOnly":"Y","temporalStart":"2009-05-01","temporalEnd":"2009-09-30","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":246666,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5227.gif"},{"id":246661,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5227/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 19N","datum":"North American Datum of 1983","country":"United States","state":"Maine","city":"Freeport","otherGeospatial":"Harvey Brook;Merrill Brook","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.2,43.8 ], [ -70.2,43.9 ], [ -70.11666666666666,43.9 ], [ -70.11666666666666,43.8 ], [ -70.2,43.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9060e4b08c986b319484","contributors":{"authors":[{"text":"Nielsen, Martha G. 0000-0003-3038-9400 mnielsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3038-9400","contributorId":4169,"corporation":false,"usgs":true,"family":"Nielsen","given":"Martha","email":"mnielsen@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Locke, Daniel B.","contributorId":93741,"corporation":false,"usgs":true,"family":"Locke","given":"Daniel B.","affiliations":[],"preferred":false,"id":462742,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037789,"text":"sir20125050 - 2012 - Groundwater monitoring plan for the Missouri River alluvial aquifer in the vicinity of the City of Independence, Missouri, well field","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20125050","displayToPublicDate":"2012-03-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5050","title":"Groundwater monitoring plan for the Missouri River alluvial aquifer in the vicinity of the City of Independence, Missouri, well field","docAbstract":"Source contributions to monitoring and supply wells, contributing recharge areas, groundwater travel times, and current (2012) understanding of alluvial water quality were used to develop a groundwater monitoring plan for the Missouri River alluvial aquifer in the vicinity of the City of Independence, Missouri well field. The plan was designed to evaluate long-term alluvial water quality and assess potential changes in, and threats to, well-field water quality. Source contributions were determined from an existing groundwater flow model in conjunction with particle-tracking analysis and verified with water-quality data collected from 1997 through 2010 from a network of 68 monitoring wells. Three conjunctive factors - well-field pumpage, Missouri River discharge, and aquifer recharge - largely determined groundwater flow and, therefore, source contributions. The predominant source of groundwater to most monitoring wells and supply wells is the Missouri River, and this was reflected, to some extent, in alluvial water quality. To provide an estimate of the maximum potential lead time available for remedial action, monitoring wells where groundwater travel times from the contributing recharge areas are less than 2 years and predominately singular sources (such as the Missouri River or the land surface) were selected for annual sampling. The sample interval of the remaining wells, which have varying travel times and intermediate mixtures of river and land-surface contributions, were staggered on a 2-, 3-, or 4-year rotation. This was done to provide data from similar contributing areas and account for inherent aquifer variability yet minimize sample redundancy.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125050","collaboration":"Prepared in cooperation with the City of Independence, Missouri, Water Department","usgsCitation":"Wilkison, D.H., 2012, Groundwater monitoring plan for the Missouri River alluvial aquifer in the vicinity of the City of Independence, Missouri, well field: U.S. Geological Survey Scientific Investigations Report 2012-5050, vi, 29 p.; Appendix, https://doi.org/10.3133/sir20125050.","productDescription":"vi, 29 p.; Appendix","onlineOnly":"Y","temporalStart":"1997-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":246667,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5050.gif"},{"id":246660,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5050/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 15","country":"United States","state":"Missouri","county":"Clay;Jackson","city":"City Of Independence","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.83333333333333,39.083333333333336 ], [ -94.83333333333333,39.25 ], [ -94.16666666666667,39.25 ], [ -94.16666666666667,39.083333333333336 ], [ -94.83333333333333,39.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2daae4b0c8380cd5bf97","contributors":{"authors":[{"text":"Wilkison, Donald H. wilkison@usgs.gov","contributorId":3824,"corporation":false,"usgs":true,"family":"Wilkison","given":"Donald","email":"wilkison@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462732,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70191690,"text":"70191690 - 2012 - Multitemporal ALSM change detection, sediment delivery, and process mapping at an active earthflow","interactions":[],"lastModifiedDate":"2017-10-17T17:09:02","indexId":"70191690","displayToPublicDate":"2012-03-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Multitemporal ALSM change detection, sediment delivery, and process mapping at an active earthflow","docAbstract":"<p><span>Remote mapping and measurement of surface processes at high spatial resolution is among the frontiers in Earth surface process research. Remote measurements that allow meter-scale mapping of landforms and quantification of landscape change can revolutionize the study of landscape evolution on human timescales. At Mill Gulch in northern California, USA, an active earthflow was surveyed in 2003 and 2007 by airborne laser swath mapping (ALSM), enabling meter-scale quantification of landscape change. We calculate four-year volumetric flux from the earthflow and compare it to long-term catchment average erosion rates from cosmogenic radionuclide inventories from adjacent watersheds. We also present detailed maps of changing features on the earthflow, from which we can derive velocity estimates and infer dominant process. These measurements rely on proper digital elevation model (DEM) generation and a simple surface-matching technique to align the multitemporal data in a manner that eliminates systematic error in either dataset. The mean surface elevation of the earthflow and an opposite slope that was directly influenced by the earthflow decreased 14 ± 1 mm/yr from 2003 to 2007. By making the conservative assumption that these features were the dominant contributor of sediment flux from the entire Mill Gulch drainage basin during this time interval, we calculate a minimum catchment-averaged erosion rate of 0·30 ± 0·02 mm/yr. Analysis of beryllium-10 (</span><sup>10</sup><span>Be) concentrations in fluvial sand from nearby Russian Gulch and the South Fork Gualala River provide catchment averaged erosion rates of 0·21 ± 0·04 and 0·23 ± 0·03 mm/yr respectively. From translated landscape features, we can infer surface velocities ranging from 0·5 m/yr in the wide upper ‘source’ portion of the flow to 5 m/yr in the narrow middle ‘transport’ portion of the flow. This study re-affirms the importance of mass wasting processes in the sediment budgets of uplifting weak lithologies.</span></p>","language":"English","publisher":"British Society for Geomorphology","doi":"10.1002/esp.2234","usgsCitation":"DeLong, S.B., Prentice, C.S., Hilley, G.E., and Ebert, Y., 2012, Multitemporal ALSM change detection, sediment delivery, and process mapping at an active earthflow: Earth Surface Processes and Landforms, v. 37, no. 3, p. 262-272, https://doi.org/10.1002/esp.2234.","productDescription":"11 p.","startPage":"262","endPage":"272","ipdsId":"IP-025170","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":346773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.56048583984374,\n              38.724090458956965\n            ],\n            [\n              -123.45748901367188,\n              38.724090458956965\n            ],\n            [\n              -123.45748901367188,\n              38.78620445725866\n            ],\n            [\n              -123.56048583984374,\n              38.78620445725866\n            ],\n            [\n              -123.56048583984374,\n              38.724090458956965\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2011-10-04","publicationStatus":"PW","scienceBaseUri":"59e71695e4b05fe04cd331fb","contributors":{"authors":[{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prentice, Carol S. 0000-0003-3732-3551 cprentice@usgs.gov","orcid":"https://orcid.org/0000-0003-3732-3551","contributorId":2676,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","email":"cprentice@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hilley, George E.","contributorId":197258,"corporation":false,"usgs":false,"family":"Hilley","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":713072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebert, Yael","contributorId":197259,"corporation":false,"usgs":false,"family":"Ebert","given":"Yael","email":"","affiliations":[],"preferred":false,"id":713073,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037771,"text":"ofr20121041 - 2012 - Preliminary geologic map of the Big Costilla Peak area, Taos County, New Mexico, and Costilla County, Colorado","interactions":[],"lastModifiedDate":"2022-04-15T19:42:30.305043","indexId":"ofr20121041","displayToPublicDate":"2012-03-14T08:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1041","title":"Preliminary geologic map of the Big Costilla Peak area, Taos County, New Mexico, and Costilla County, Colorado","docAbstract":"<p><span>This map covers the Big Costilla Peak, New Mex.‒Colo. quadrangle and adjacent parts of three other 7.5 minute quadrangles: Amalia, New Mex.‒Colo., Latir Peak, New Mex., and Comanche Point, New Mex. The study area is in the southwesternmost part of that segment of the Sangre de Cristo Mountains known as the Culebra Range; the Taos Range segment lies to the southwest of Costilla Creek and its tributary, Comanche Creek. The map area extends over all but the northernmost part of the Big Costilla horst, a late Cenozoic uplift of Proterozoic (1.7-Ga and less than 1.4-Ga) rocks that is largely surrounded by down-faulted middle to late Cenozoic (about 40 Ma to about 1 Ma) rocks exposed at significantly lower elevations. This horst is bounded on the northwest side by the San Pedro horst and Culebra graben, on the northeast and east sides by the Devils Park graben, and on the southwest side by the (about 30 Ma to about 25 Ma) Latir volcanic field. The area of this volcanic field, at the north end of the Taos Range, has undergone significantly greater extension than the area to the north of Costilla Creek. The horsts and grabens discussed above are all peripheral structures on the eastern flank of the San Luis basin, which is the axial part of the (about 26 Ma to present) Rio Grande rift at the latitude of the map. The Raton Basin lies to the east of the Culebra segment of the Sangre de Cristo Mountains. This foreland basin formed during, and is related to, the original uplift of the Sangre de Cristo Mountains which was driven by tectonic contraction of the Laramide (about 70 Ma to about 40 Ma) orogeny. Renewed uplift and structural modification of these mountains has occurred during formation of the Rio Grande rift. Surficial deposits in the study area include alluvial, mass-movement, and glacial deposits of middle Pleistocene to Holocene age.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121041","usgsCitation":"Fridrich, C.J., Shroba, R.R., and Hudson, A.M., 2012, Preliminary geologic map of the Big Costilla Peak area, Taos County, New Mexico, and Costilla County, Colorado: U.S. Geological Survey Open-File Report 2012-1041, 1 Plate: 50.99 x 44.99 inches; Geospacial Database, https://doi.org/10.3133/ofr20121041.","productDescription":"1 Plate: 50.99 x 44.99 inches; Geospacial Database","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":246645,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1041.png"},{"id":398864,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_96550.htm"},{"id":246641,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1041/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Polyconic","datum":"North American Datum of 1927","country":"United States","state":"New Mexico","otherGeospatial":"Big Costilla Peak area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.5,\n              36.8175\n            ],\n            [\n              -105.25,\n              36.8175\n            ],\n            [\n              -105.25,\n              37\n            ],\n            [\n              -105.5,\n              37\n            ],\n            [\n              -105.5,\n              36.8175\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8527e4b0c8380cd7c82e","contributors":{"authors":[{"text":"Fridrich, Christopher J. 0000-0003-2453-6478 fridrich@usgs.gov","orcid":"https://orcid.org/0000-0003-2453-6478","contributorId":1251,"corporation":false,"usgs":true,"family":"Fridrich","given":"Christopher","email":"fridrich@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":462668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shroba, Ralph R. 0000-0002-2664-1813 rshroba@usgs.gov","orcid":"https://orcid.org/0000-0002-2664-1813","contributorId":1266,"corporation":false,"usgs":true,"family":"Shroba","given":"Ralph","email":"rshroba@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":462669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, Adam M.","contributorId":58367,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":462670,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037756,"text":"ofr20121009 - 2012 - Ecological requirements for pallid sturgeon reproduction and recruitment in the Lower Missouri River: Annual report 2010","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"ofr20121009","displayToPublicDate":"2012-03-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1009","title":"Ecological requirements for pallid sturgeon reproduction and recruitment in the Lower Missouri River: Annual report 2010","docAbstract":"The Comprehensive Sturgeon Research Project is a multiyear, multiagency collaborative research framework developed to provide information to support pallid sturgeon recovery and Missouri River management decisions. The project strategy integrates field and laboratory studies of sturgeon reproductive ecology, early life history, habitat requirements, and physiology. The project scope of work is developed annually with cooperating research partners and in collaboration with the U.S. Army Corps of Engineers, Missouri River Recovery&mdash;Integrated Science Program. The research consists of several interdependent and complementary tasks that engage multiple disciplines. The research tasks in the 2010 scope of work primarily address spawning as a probable factor limiting pallid sturgeon survival and recovery, although limited pilot studies also have been initiated to examine the requirements of early life stages. The research is designed to inform management decisions affecting channel re-engineering, flow modification, and pallid sturgeon population augmentation on the Missouri River, and throughout the range of the species. Research and progress made through this project are reported to the U.S. Army Corps of Engineers annually. This annual report details the research effort and progress made by the Comprehensive Sturgeon Research Project during 2010.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121009","collaboration":"Prepared in cooperation with the Missouri River Recovery?Integrated Science Program U.S. Army Corps of Engineers, Yankton, South Dakota","usgsCitation":"DeLonay, A.J., Jacobson, R.B., Papoulias, D.M., Wildhaber, M.L., Chojnacki, K.A., Pherigo, E., Haas, J.D., and Mestl, G.E., 2012, Ecological requirements for pallid sturgeon reproduction and recruitment in the Lower Missouri River: Annual report 2010: U.S. Geological Survey Open-File Report 2012-1009, vii, 51 p., https://doi.org/10.3133/ofr20121009.","productDescription":"vii, 51 p.","onlineOnly":"Y","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":246634,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1009.gif"},{"id":246632,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1009/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","country":"United States","state":"South Dakota;Nebraska;Iowa;Missouri","otherGeospatial":"Lower Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,38 ], [ -98,43 ], [ -91,43 ], [ -91,38 ], [ -98,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a055de4b0c8380cd50d89","contributors":{"authors":[{"text":"DeLonay, Aaron J.","contributorId":53360,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":462612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":462606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":462609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":462607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chojnacki, Kimberly A. kchojnacki@usgs.gov","contributorId":1978,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":462608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pherigo, Emily K.","contributorId":33300,"corporation":false,"usgs":true,"family":"Pherigo","given":"Emily K.","affiliations":[],"preferred":false,"id":462610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haas, Justin D.","contributorId":92123,"corporation":false,"usgs":true,"family":"Haas","given":"Justin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":462613,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mestl, Gerald E.","contributorId":49336,"corporation":false,"usgs":true,"family":"Mestl","given":"Gerald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":462611,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70189922,"text":"70189922 - 2012 - Measuring gravel transport and dispersion in a mountain river using passive radio tracers","interactions":[],"lastModifiedDate":"2017-07-31T15:13:29","indexId":"70189922","displayToPublicDate":"2012-03-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Measuring gravel transport and dispersion in a mountain river using passive radio tracers","docAbstract":"Random walk models of fluvial sediment transport recognize that grains move intermittently, with short duration steps separated by rests that are comparatively long. These models are built upon the probability distributions of the step length and the resting time. Motivated by these models, tracer experiments have attempted to measure directly the steps and rests of sediment grains in natural streams. This paper describes results from a large tracer experiment designed to test stochastic transport models. We used passive integrated transponder (PIT) tags to label 893 coarse gravel clasts and placed them in Halfmoon Creek, a small alpine stream near Leadville, Colorado, USA. The PIT tags allow us to locate and identify tracers without picking them up or digging them out of the streambed. They also enable us to find a very high percentage of our rocks, 98% after three years and 96% after the fourth year. We use the annual tracer displacement to test two stochastic transport models, the Einstein–Hubbell–Sayre (EHS) model and the Yang–Sayre gamma-exponential model (GEM). We find that the GEM is a better fit to the observations, particularly for slower moving tracers and suggest that the strength of the GEM is that the gamma distribution of step lengths approximates a compound Poisson distribution. Published in 2012. This article is a US Government work and is in the public domain in the USA.","language":"English","publisher":"John Wiley and Sons, Ltd.","doi":"10.1002/esp.3223","usgsCitation":"Bradley, D.N., and Tucker, G.E., 2012, Measuring gravel transport and dispersion in a mountain river using passive radio tracers: Earth Surface Processes and Landforms, v. 37, no. 10, p. 1034-1045, https://doi.org/10.1002/esp.3223.","productDescription":"12 p.","startPage":"1034","endPage":"1045","ipdsId":"IP-035004","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":474551,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.3223","text":"Publisher Index Page"},{"id":344476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.36173248291014,\n              39.205787731546465\n            ],\n            [\n              -106.38224601745605,\n              39.20246222588238\n            ],\n            [\n              -106.40790939331055,\n              39.1552230561961\n            ],\n            [\n              -106.43546104431152,\n              39.150597234813176\n            ],\n            [\n              -106.43405556678772,\n              39.14934088909021\n            ],\n            [\n              -106.4276933670044,\n              39.150023145841686\n            ],\n            [\n              -106.41937851905823,\n              39.15108811877022\n            ],\n            [\n              -106.40532374382019,\n              39.153442650148996\n            ],\n            [\n              -106.39857530593872,\n              39.157668961140445\n            ],\n            [\n              -106.39424085617065,\n              39.1622111304562\n            ],\n            [\n              -106.37977838516234,\n              39.188742850857885\n            ],\n            [\n              -106.36173248291014,\n              39.205787731546465\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-03-13","publicationStatus":"PW","scienceBaseUri":"5980419ee4b0a38ca2789388","contributors":{"authors":[{"text":"Bradley, D. N.","contributorId":195334,"corporation":false,"usgs":false,"family":"Bradley","given":"D.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":706776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, G. E.","contributorId":195335,"corporation":false,"usgs":false,"family":"Tucker","given":"G.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":706777,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037728,"text":"sir20115171 - 2012 - Estimation of stream temperature in support of fish production modeling under future climates in the Klamath River Basin","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"sir20115171","displayToPublicDate":"2012-03-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5171","title":"Estimation of stream temperature in support of fish production modeling under future climates in the Klamath River Basin","docAbstract":"Stream temperature estimates under future climatic conditions were needed in support of fish production modeling for evaluation of effects of dam removal in the Klamath River Basin. To allow for the persistence of the Klamath River salmon fishery, an upcoming Secretarial Determination in 2012 will review potential changes in water quality and stream temperature to assess alternative scenarios, including dam removal. Daily stream temperature models were developed by using a regression model approach with simulated net solar radiation, vapor density deficit calculated on the basis of air temperature, and mean daily air temperature. Models were calibrated for 6 streams in the Lower, and 18 streams in the Upper, Klamath Basin by using measured stream temperatures for 1999-2008. The standard error of the y-estimate for the estimation of stream temperature for the 24 streams ranged from 0.36 to 1.64&deg;C, with an average error of 1.12&deg;C for all streams. The regression models were then used with projected air temperatures to estimate future stream temperatures for 2010-99. Although the mean change from the baseline historical period of 1950-99 to the projected future period of 2070-99 is only 1.2&deg;C, it ranges from 3.4&deg;C for the Shasta River to no change for Fall Creek and Trout Creek. Variability is also evident in the future with a mean change in temperature for all streams from the baseline period to the projected period of 2070-99 of only 1&deg;C, while the range in stream temperature change is from 0 to 2.1&deg;C. The baseline period, 1950-99, to which the air temperature projections were corrected, established the starting point for the projected changes in air temperature. The average measured daily air temperature for the calibration period 1999-2008, however, was found to be as much as 2.3&deg;C higher than baseline for some rivers, indicating that warming conditions have already occurred in many areas of the Klamath River Basin, and that the stream temperature projections for the 21st century could be underestimating the actual change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115171","collaboration":"Prepared in cooperation with the U.S. Bureau of Reclamation and U.S. Fish and Wildlife Service","usgsCitation":"Flint, L.E., and Flint, A.L., 2012, Estimation of stream temperature in support of fish production modeling under future climates in the Klamath River Basin: U.S. Geological Survey Scientific Investigations Report 2011-5171, vi, 31 p., https://doi.org/10.3133/sir20115171.","productDescription":"vi, 31 p.","startPage":"i","endPage":"31","numberOfPages":"37","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":238823,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5171.jpg"},{"id":218594,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5171/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon;California","otherGeospatial":"Klamath River Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0bafe4b0c8380cd52816","contributors":{"authors":[{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462520,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037743,"text":"70037743 - 2012 - Hurricane disturbance and recovery of energy balance, CO<sub>2</sub> fluxes and canopy structure in a mangrove forest of the Florida Everglades","interactions":[],"lastModifiedDate":"2017-05-11T21:40:16","indexId":"70037743","displayToPublicDate":"2012-03-09T10:09:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Hurricane disturbance and recovery of energy balance, CO<sub>2</sub> fluxes and canopy structure in a mangrove forest of the Florida Everglades","docAbstract":"Eddy covariance (EC) estimates of carbon dioxide (CO<sub>2</sub>) fluxes and energy balance are examined to investigate the functional responses of a mature mangrove forest to a disturbance generated by Hurricane Wilma on October 24, 2005 in the Florida Everglades. At the EC site, high winds from the hurricane caused nearly 100% defoliation in the upper canopy and widespread tree mortality. Soil temperatures down to -50 cm increased, and air temperature lapse rates within the forest canopy switched from statically stable to statically unstable conditions following the disturbance. Unstable conditions allowed more efficient transport of water vapor and CO<sub>2</sub> from the surface up to the upper canopy layer. Significant increases in latent heat fluxes (LE) and nighttime net ecosystem exchange (NEE) were also observed and sensible heat fluxes (H) as a proportion of net radiation decreased significantly in response to the disturbance. Many of these impacts persisted through much of the study period through 2009. However, local albedo and MODIS (Moderate Resolution Imaging Spectro-radiometer) data (the Enhanced Vegetation Index) indicated a substantial proportion of active leaf area recovered before the EC measurements began 1 year after the storm. Observed changes in the vertical distribution and the degree of clumping in newly emerged leaves may have affected the energy balance. Direct comparisons of daytime NEE values from before the storm and after our measurements resumed did not show substantial or consistent differences that could be attributed to the disturbance. Regression analyses on seasonal time scales were required to differentiate the storm's impact on monthly average daytime NEE from the changes caused by interannual variability in other environmental drivers. The effects of the storm were apparent on annual time scales, and CO<sub>2</sub> uptake remained approximately 250 g C m<sup>-2</sup> yr<sup>-1</sup> lower in 2009 compared to the average annual values measured in 2004&ndash;2005. Dry season CO<sub>2</sub> uptake was relatively more affected by the disturbance than wet season values. Complex leaf regeneration dynamics on damaged trees during ecosystem recovery are hypothesized to lead to the variable dry versus wet season impacts on daytime NEE. In contrast, nighttime CO<sub>2</sub> release (i.e., nighttime respiration) was consistently and significantly greater, possibly as a result of the enhanced decomposition of litter and coarse woody debris generated by the storm, and this effect was most apparent in the wet seasons compared to the dry seasons. The largest pre- and post-storm differences in NEE coincided roughly with the delayed peak in cumulative mortality of stems in 2007&ndash;2008. Across the hurricane-impacted region, cumulative tree mortality rates were also closely correlated with declines in peat surface elevation. Mangrove forest&ndash;atmosphere interactions are interpreted with respect to the damage and recovery of stand dynamics and soil accretion processes following the hurricane.","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2011.07.022","usgsCitation":"Barr, J.G., Engel, V., Smith, T.J., and Fuentes, J.D., 2012, Hurricane disturbance and recovery of energy balance, CO<sub>2</sub> fluxes and canopy structure in a mangrove forest of the Florida Everglades: Agricultural and Forest Meteorology, v. 153, p. 54-66, https://doi.org/10.1016/j.agrformet.2011.07.022.","productDescription":"13 p.","startPage":"54","endPage":"66","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":246651,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","volume":"153","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a32b5e4b0c8380cd5ea07","contributors":{"authors":[{"text":"Barr, Jordan G.","contributorId":85809,"corporation":false,"usgs":false,"family":"Barr","given":"Jordan","email":"","middleInitial":"G.","affiliations":[{"id":13531,"text":"South Florida Natural Resource Center, Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":462559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, Vic 0000-0002-3858-7308","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":101790,"corporation":false,"usgs":true,"family":"Engel","given":"Vic","affiliations":[],"preferred":false,"id":462561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":462558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuentes, Jose D.","contributorId":97231,"corporation":false,"usgs":true,"family":"Fuentes","given":"Jose","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":462560,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70009698,"text":"sir20125028 - 2012 - A water-budget model and estimates of groundwater recharge for Guam","interactions":[],"lastModifiedDate":"2022-04-15T19:33:16.218175","indexId":"sir20125028","displayToPublicDate":"2012-03-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5028","title":"A water-budget model and estimates of groundwater recharge for Guam","docAbstract":"On Guam, demand for groundwater tripled from the early 1970s to 2010. The demand for groundwater is anticipated to further increase in the near future because of population growth and a proposed military relocation to Guam. Uncertainty regarding the availability of groundwater resources to support the increased demand has prompted an investigation of groundwater recharge on Guam using the most current data and accepted methods. For this investigation, a daily water-budget model was developed and used to estimate mean recharge for various land-cover and rainfall conditions. Recharge was also estimated for part of the island using the chloride mass-balance method. \r\nUsing the daily water-budget model, estimated mean annual recharge on Guam is 394.1 million gallons per day, which is 39 percent of mean annual rainfall (999.0 million gallons per day). Although minor in comparison to rainfall on the island, water inflows from water-main leakage, septic-system leachate, and stormwater runoff may be several times greater than rainfall at areas that receive these inflows. Recharge is highest in areas that are underlain by limestone, where recharge is typically between 40 and 60 percent of total water inflow. Recharge is relatively high in areas that receive stormwater runoff from storm-drain systems, but is relatively low in urbanized areas where stormwater runoff is routed to the ocean or to other areas. In most of the volcanic uplands in southern Guam where runoff is substantial, recharge is less than 30 percent of total water inflow. \r\nThe water-budget model in this study differs from all previous water-budget investigations on Guam by directly accounting for canopy evaporation in forested areas, quantifying the evapotranspiration rate of each land-cover type, and accounting for evaporation from impervious areas. For the northern groundwater subbasins defined in Camp, Dresser & McKee Inc. (1982), mean annual baseline recharge computed in this study is 159.1 million gallons per day, which is 50 percent of mean annual rainfall, and is 42 percent greater than the recharge estimate of Camp, Dresser & McKee Inc. (1982). For the northern aquifer sectors defined in Mink (1991), which encompass most of the northern half of the island, mean annual baseline recharge computed in this study is 238.0 million gallons per day, which is 51 percent of mean annual rainfall, and is about 6 percent lower than the recharge estimate of Mink (1991). For the drought simulation performed in this study, recharge for the entire island is 259.3 million gallons per day, which is 34 percent lower than recharge computed for baseline conditions. For all aquifer sectors defined by Mink (1991), total recharge during drought conditions is 32 percent lower than mean baseline recharge. For the future land-cover water-budget simulation, which represents potential land-cover changes owing to the military relocation and population growth, estimated recharge for the entire island is nearly equal to the baseline recharge estimate that was based on 2004 land cover. \r\nUsing the water-budget model, estimated recharge in the northern half of the island is most sensitive to crop coefficients and net precipitation rates&mdash;two of the water-budget parameters used in the estimation of total evapotranspiration. Estimated recharge in the southern half of the island is most sensitive to crop coefficients, net precipitation rate, and runoff-to-rainfall ratios. \r\nDuring March 2010 to May 2011, bulk-deposition samples from five rainfall stations on Guam were collected and analyzed for chloride. Additionally, samples from five groundwater sites were collected and analyzed for chloride. Results were used to estimate groundwater recharge using the chloride mass-balance method. Recharge estimates using this method at three bulk-deposition stations on the northern limestone plateau range from about 25 to 48 percent of rainfall. These recharge estimates are similar to the estimate of Ayers (1981) who also used this method. Recharge estimates at each bulk-deposition station, however, are lower than the baseline recharge estimate from the water-budget model used in this study. This may be because no large storms, such as tropical cyclones, passed near Guam during March 2010 to May 2011.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125028","collaboration":"Prepared in cooperation with the United States Marine Corps","usgsCitation":"Johnson, A.G., 2012, A water-budget model and estimates of groundwater recharge for Guam: U.S. Geological Survey Scientific Investigations Report 2012-5028, vi, 53 p., https://doi.org/10.3133/sir20125028.","productDescription":"vi, 53 p.","onlineOnly":"Y","temporalStart":"2010-03-01","temporalEnd":"2011-05-31","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":204879,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5028.gif"},{"id":398862,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_96552.htm"},{"id":204876,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5028/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","datum":"WGS84","country":"Guam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.61666666666667,13.233333333333333 ], [ 144.61666666666667,13.666666666666666 ], [ 144.96666666666667,13.666666666666666 ], [ 144.96666666666667,13.233333333333333 ], [ 144.61666666666667,13.233333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e615e4b0c8380cd47161","contributors":{"authors":[{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356871,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70009699,"text":"sir20105070C - 2012 - Volcanogenic massive sulfide occurrence model","interactions":[],"lastModifiedDate":"2024-04-16T16:36:52.202517","indexId":"sir20105070C","displayToPublicDate":"2012-03-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5070","chapter":"C","title":"Volcanogenic massive sulfide occurrence model","docAbstract":"<p>Volcanogenic massive sulfide deposits, also known as volcanic-hosted massive sulfide, volcanic-associated massive sulfide, or seafloor massive sulfide deposits, are important sources of copper, zinc, lead, gold, and silver (Cu, Zn, Pb, Au, and Ag). These deposits form at or near the seafloor where circulating hydrothermal fluids driven by magmatic heat are quenched through mixing with bottom waters or porewaters in near-seafloor lithologies. Massive sulfide lenses vary widely in shape and size and may be podlike or sheetlike. They are generally stratiform and may occur as multiple lenses.</p>\n<p>Volcanogenic massive sulfide deposits range in size from small pods of less than a ton (which are commonly scattered through prospective terrains) to supergiant accumulations like Rio Tinto (Spain), 1.5 billion metric tons; Kholodrina (Russia), 300 million metric tons; Windy Craggy (Canada), 300 million metric tons; Brunswick No. 12 (Canada), 230 million metric tons; and Ducktown (United States), 163 million metric tons. Volcanogenic massive sulfide deposits range in age from 3.55 billion years to zero-age deposits that are actively forming in extensional settings on the seafloor, especially mid-ocean ridges, island arcs, and back-arc spreading basins. The widespread recognition of modern seafloor Volcanogenic massive sulfide deposits and associated hydrothermal vent fluids and vent fauna has been one of the most astonishing discoveries in the last 50 years, and seafloor exploration and scientific studies have contributed much to our understanding of ore-forming processes and the tectonic framework for volcanogenic massive sulfide deposits in the marine environment.</p>\n<p>Massive ore in volcanogenic massive sulfide deposits consists of greater than 40 percent sulfides, usually pyrite, pyrrhotite, chalcopyrite, sphalerite, and galena; non-sulfide gangue typically consists of quartz, barite, anhydrite, iron oxides, chlorite, sericite, talc, and their metamorphosed equivalents. Ore composition may be Pb-Zn-, Cu-Zn-, or Pb-Cu-Zn-dominated, and some deposits are zoned vertically and laterally.</p>\n<p>Many deposits have stringer or feeder zones beneath the massive zone that consist of crosscutting veins and veinlets of sulfides in a matrix of pervasively altered host rock and gangue. Alteration zonation in the host rocks surrounding the deposits are usually well-developed and include advanced argillic (kaolinite, alunite), argillic (illite, sericite), sericitic (sericite, quartz), chloritic (chlorite, quartz), and propylitic (carbonate, epidote, chlorite) types.</p>\n<p>An unusual feature of VMS deposits is the common association of stratiform \"exhalative\" deposits precipitated from hydrothermal fluids emanating into bottom waters. These deposits may extend well beyond the margins of massive sulfide and are typically composed of silica, iron, and manganese oxides, carbonates, sulfates, sulfides, and tourmaline.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral deposit models for resource assessment (Scientific Investigations Report 2010-5070)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070C","usgsCitation":"Shanks, W.P., Koski, R.A., Mosier, D.L., Schulz, K.J., Morgan, L.A., Slack, J.F., Ridley, W., Dusel-Bacon, C., Seal, R., and Piatak, N.M., 2012, Volcanogenic massive sulfide occurrence model: U.S. Geological Survey Scientific Investigations Report 2010-5070, xiii, 345 p., https://doi.org/10.3133/sir20105070C.","productDescription":"xiii, 345 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":311535,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/c/SIR10-5070-C.pdf","text":"Report","size":"17.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":204877,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/c/","linkFileType":{"id":5,"text":"html"}},{"id":357516,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2010/5070/c/images/coverthb.gif"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc343e4b08c986b32b05b","contributors":{"editors":[{"text":"Shanks, W.C. Pat III","contributorId":93949,"corporation":false,"usgs":true,"family":"Shanks","given":"W.C.","suffix":"III","email":"","middleInitial":"Pat","affiliations":[],"preferred":false,"id":508450,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Thurston, Roland","contributorId":69261,"corporation":false,"usgs":true,"family":"Thurston","given":"Roland","affiliations":[],"preferred":false,"id":580267,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Shanks, W.C. Pat III","contributorId":93949,"corporation":false,"usgs":true,"family":"Shanks","given":"W.C.","suffix":"III","email":"","middleInitial":"Pat","affiliations":[],"preferred":false,"id":356872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koski, Randolph A. rkoski@usgs.gov","contributorId":2949,"corporation":false,"usgs":true,"family":"Koski","given":"Randolph","email":"rkoski@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":580268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosier, Dan L.","contributorId":42593,"corporation":false,"usgs":true,"family":"Mosier","given":"Dan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":580269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schulz, Klaus J. 0000-0003-2967-4765 kschulz@usgs.gov","orcid":"https://orcid.org/0000-0003-2967-4765","contributorId":2438,"corporation":false,"usgs":true,"family":"Schulz","given":"Klaus","email":"kschulz@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":580270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morgan, Lisa A.","contributorId":66300,"corporation":false,"usgs":true,"family":"Morgan","given":"Lisa","email":"","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":580271,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":580272,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ridley, W. Ian 0000-0001-6787-558X","orcid":"https://orcid.org/0000-0001-6787-558X","contributorId":17269,"corporation":false,"usgs":true,"family":"Ridley","given":"W. Ian","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":580273,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dusel-Bacon, Cynthia 0000-0001-8481-739X cdusel@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-739X","contributorId":2797,"corporation":false,"usgs":true,"family":"Dusel-Bacon","given":"Cynthia","email":"cdusel@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":580274,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":580275,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":2324,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":580276,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70009656,"text":"tm6A39 - 2012 - RIP-ET: A riparian evapotranspiration package for MODFLOW-2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"tm6A39","displayToPublicDate":"2012-03-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A39","title":"RIP-ET: A riparian evapotranspiration package for MODFLOW-2005","docAbstract":"A new evapotranspiration package for the U.S. Geological Survey's groundwater-flow model, MODFLOW, is documented. The Riparian Evapotranspiration Package (RIP-ET) provides flexibility in simulating riparian and wetland transpiration not provided by the Evapotranspiration (EVT) or Segmented Function Evapotranspiration (ETS1) Packages for MODFLOW 2005. This report describes how the RIP-ET package was conceptualized and provides input instructions, listings and explanations of the source code, and an example. Traditional approaches to modeling evapotranspiration (ET) processes assume a piecewise linear relationship between ET flux and hydraulic head. The RIP-ET replaces this traditional relationship with a segmented, nonlinear dimensionless curve that reflects the eco-physiology of riparian and wetland ecosystems. Evapotranspiration losses from these ecosystems are dependent not only on hydraulic head, but on the plant types present. User-defined plant functional groups (PFGs) are used to elucidate the interaction between plant transpiration and groundwater conditions. Five generalized plant functional groups based on transpiration rates, plant rooting depth, and water tolerance ranges are presented: obligate wetland, shallow-rooted riparian, deep-rooted riparian, transitional riparian and bare ground/open water. Plant functional groups can be further divided into subgroups (PFSGs) based on plant size, density or other characteristics. The RIP-ET allows for partial habitat coverage and mixtures of plant functional subgroups to be present in a single model cell. RIP-ET also distinguishes between plant transpiration and bare-ground evaporation. Habitat areas are designated by polygons; each polygon can contain a mixture of PFSGs and bare ground, and is assigned a surface elevation. This process requires a determination of fractional coverage for each of the plant functional subgroups present in a polygon to account for the mixture of coverage types and resulting transpiration. The fractional cover within a cell has two components: (1) the polygonal fraction of active habitat (excluding area of bare ground, dead trees, or brush) in a cell, and (2) fraction of plant type area or bare ground area in a polygon. RIP-ET determines the transpiration rate for each plant functional group and evaporation from bare ground/open water in a cell, the total ET in the cell, and the total ET rate over the region of simulation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A39","collaboration":"Office of Groundwater, Transboundary Aquifer Assessment Program","usgsCitation":"Maddock, T., Baird, K.J., Hanson, R.T., Schmid, W., and Ajami, H., 2012, RIP-ET: A riparian evapotranspiration package for MODFLOW-2005: U.S. Geological Survey Techniques and Methods 6-A39, vi, 70 p.; Appendix, https://doi.org/10.3133/tm6A39.","productDescription":"vi, 70 p.; Appendix","startPage":"i","endPage":"76","numberOfPages":"82","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":204846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_6_A39.jpg"},{"id":204839,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm6a39/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9366e4b0c8380cd80db4","contributors":{"authors":[{"text":"Maddock, Thomas III","contributorId":32983,"corporation":false,"usgs":true,"family":"Maddock","given":"Thomas","suffix":"III","affiliations":[],"preferred":false,"id":356816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baird, Kathryn J.","contributorId":32670,"corporation":false,"usgs":true,"family":"Baird","given":"Kathryn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":356815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, R. T.","contributorId":91148,"corporation":false,"usgs":true,"family":"Hanson","given":"R.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":356819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmid, Wolfgang","contributorId":84020,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","affiliations":[{"id":13040,"text":"Department of Hydrology and Water Resources, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":356818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ajami, Hoori","contributorId":74506,"corporation":false,"usgs":true,"family":"Ajami","given":"Hoori","affiliations":[],"preferred":false,"id":356817,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70009649,"text":"ofr20121020 - 2012 - Plant distributions in the southwestern United States; a scenario assessment of the modern-day and future distribution ranges of 166 Species","interactions":[],"lastModifiedDate":"2012-03-06T17:16:10","indexId":"ofr20121020","displayToPublicDate":"2012-03-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1020","title":"Plant distributions in the southwestern United States; a scenario assessment of the modern-day and future distribution ranges of 166 Species","docAbstract":"The authors developed spatial models of the predicted modern-day suitable habitat (SH) of 166 dominant and indicator plant species of the southwestern United States (herein referred to as the Southwest) and then conducted a coarse assessment of potential future changes in the distribution of their suitable habitat under three climate-change scenarios for two time periods. We used Maxent-based spatial modeling to predict the modern-day and future scenarios of SH for each species in an over 342-million-acre area encompassing all or parts of six states in the Southwest--Arizona, California, Colorado, Nevada, New Mexico, and Utah. Modern-day SH models were predicted by our using 26 annual and monthly average temperature and precipitation variables, averaged for the years 1971-2000. Future SH models were predicted for each species by our using six climate models based on application of the average of 16 General Circulation Models to Intergovernmental Panel on Climate Change emission scenarios B1, A1B, and A2 for two time periods, 2040 to 2069 and 2070 and 2100, referred to respectively as the 2050 and 2100 time periods. The assessment examined each species' vulnerability to loss of modern-day SH under future climate scenarios, potential to gain SH under future climate scenarios, and each species' estimated risk as a function of both vulnerability and potential gains. All 166 species were predicted to lose modern-day SH in the future climate change scenarios. In the 2050 time period, nearly 30 percent of the species lost 75 percent or more of their modern-day suitable habitat, 21 species gained more new SH than their modern-day SH, and 30 species gained less new SH than 25 percent of their modern-day SH. In the 2100 time period, nearly half of the species lost 75 percent or more of their modern-day SH, 28 species gained more new SH than their modern-day SH, and 34 gained less new SH than 25 percent of their modern-day SH. Using nine risk categories we found only two species were in the least risk category, while 20 species were in the highest risk category. The assessment showed that species respond independently to predicted climate change, suggesting that current plant assemblages may disassemble under predicted climate change scenarios. This report presents the results for each species in tables (Appendix A) and maps (14 for each species) in Appendix B.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121020","usgsCitation":"Thomas, K.A., Guertin, P.P., and Gass, L., 2012, Plant distributions in the southwestern United States; a scenario assessment of the modern-day and future distribution ranges of 166 Species: U.S. Geological Survey Open-File Report 2012-1020, iv, 28 p.; Appendices; Link to Appendix B, https://doi.org/10.3133/ofr20121020.","productDescription":"iv, 28 p.; Appendices; Link to Appendix B","startPage":"i","endPage":"83","numberOfPages":"87","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":204847,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1020.gif"},{"id":204840,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1020/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121,32 ], [ -121,43 ], [ -105,43 ], [ -105,32 ], [ -121,32 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7bf0e4b0c8380cd796e9","contributors":{"authors":[{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":356807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guertin, Patricia P.","contributorId":98873,"corporation":false,"usgs":true,"family":"Guertin","given":"Patricia","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":356809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gass, Leila 0000-0002-3436-262X lgass@usgs.gov","orcid":"https://orcid.org/0000-0002-3436-262X","contributorId":3770,"corporation":false,"usgs":true,"family":"Gass","given":"Leila","email":"lgass@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":356808,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173590,"text":"70173590 - 2012 - Fish species of greatest conservation need in wadeable Iowa streams: current status and effectiveness of Aquatic Gap Program distribution models","interactions":[],"lastModifiedDate":"2016-06-07T16:20:04","indexId":"70173590","displayToPublicDate":"2012-03-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Fish species of greatest conservation need in wadeable Iowa streams: current status and effectiveness of Aquatic Gap Program distribution models","docAbstract":"<p><span>Effective conservation of fish species of greatest conservation need (SGCN) requires an understanding of species&ndash;habitat relationships and distributional trends. Thus, modeling the distribution of fish species across large spatial scales may be a valuable tool for conservation planning. Our goals were to evaluate the status of 10 fish SGCN in wadeable Iowa streams and to test the effectiveness of Iowa Aquatic Gap Analysis Project (IAGAP) species distribution models. We sampled fish assemblages from 86 wadeable stream segments in the Mississippi River drainage of Iowa during 2009 and 2010 to provide contemporary, independent fish species presence&ndash;absence data. The frequencies of occurrence in stream segments where species were historically documented varied from 0.0% for redfin shiner&nbsp;</span><i>Lythrurus umbratilis</i><span>&nbsp;to 100.0% for American brook lamprey</span><i>Lampetra appendix</i><span>, with a mean of 53.0%, suggesting that the status of Iowa fish SGCN is highly variable. Cohen's kappa values and other model performance measures were calculated by comparing field-collected presence&ndash;absence data with IAGAP model&ndash;predicted presences and absences for 12 fish SGCN. Kappa values varied from 0.00 to 0.50, with a mean of 0.15. The models only predicted the occurrences of banded darter</span><i>Etheostoma zonale</i><span>, southern redbelly dace&nbsp;</span><i>Phoxinus erythrogaster</i><span>, and longnose dace</span><i>Rhinichthys cataractae</i><span>&nbsp;more accurately than would be expected by chance. Overall, the accuracy of the twelve models was low, with a mean correct classification rate of 58.3%. Poor model performance probably reflects the difficulties associated with modeling the distribution of rare species and the inability of the large-scale habitat variables used in IAGAP models to explain the variation in fish species occurrences. Our results highlight the importance of quantifying the confidence in species distribution model predictions with an independent data set and the need for long-term monitoring to better understand the distributional trends and habitat associations of fish SGCN.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2012.663456","usgsCitation":"Sindt, A.R., Pierce, C., and Quist, M., 2012, Fish species of greatest conservation need in wadeable Iowa streams: current status and effectiveness of Aquatic Gap Program distribution models: North American Journal of Fisheries Management, v. 32, no. 1, p. 135-146, https://doi.org/10.1080/02755947.2012.663456.","productDescription":"12 p.","startPage":"135","endPage":"146","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028651","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474552,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1100&context=nrem_pubs","text":"External Repository"},{"id":323228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.54833984375,\n              43.50075243569041\n            ],\n            [\n              -94.779052734375,\n              42.78733853172001\n            ],\n            [\n              -95.00976562499999,\n              42.05745022024682\n            ],\n            [\n              -94.537353515625,\n              41.4509614012039\n            ],\n            [\n              -93.284912109375,\n              40.93841495689795\n            ],\n   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mquist@usgs.gov","contributorId":166707,"corporation":false,"usgs":true,"family":"Quist","given":"Michael C.","email":"mquist@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637760,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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