{"pageNumber":"826","pageRowStart":"20625","pageSize":"25","recordCount":46730,"records":[{"id":70048656,"text":"70048656 - 2008 - Relating streamflow characteristics to specialized insectivores in the Tennessee River Valley: a regional approach","interactions":[],"lastModifiedDate":"2013-10-29T09:56:45","indexId":"70048656","displayToPublicDate":"2008-01-01T09:51:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Relating streamflow characteristics to specialized insectivores in the Tennessee River Valley: a regional approach","docAbstract":"Analysis of hydrologic time series and fish community data across the Tennessee River Valley identified three hydrologic metrics essential to habitat suitability and food availability for insectivorous fish communities in streams of the Tennessee River Valley: constancy (flow stability or temporal invariance), frequency of moderate flooding (frequency of habitat disturbance), and rate of streamflow recession. Initial datasets included 1100 fish community sites and 300 streamgages. Reduction of these datasets to sites with coexisting data yielded 33 sites with streamflow and fish community data for analysis. Identification of critical hydrologic metrics was completed using a multivariate correlation procedure that maximizes the rank correlation between the hydrologic metrics and fish community resemblance matrices. Quantile regression was used to define thresholds of potential ranges of insectivore scores for given values of the hydrologic metrics. Increased values of constancy and insectivore scores were positively correlated. Constancy of streamflow maintains wetted perimeter, which is important for providing habitat for fish spawning and increased surface area for invertebrate colonization and reproduction. Site scores for insectivorous fish increased as the frequency of moderate flooding (3 times the median annual streamflow) decreased, suggesting that insectivorous fish communities respond positively to less frequent disturbance and a more stable habitat. Increased streamflow recession rates were associated with decreased insectivore scores. Increased streamflow recession can strand fish in pools and other areas that are disconnected from flowing water and remove invertebrates as food sources that were suspended during high-streamflow events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecohydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/eco.32","usgsCitation":"Knight, R., Gregory, M.B., and Wales, A.K., 2008, Relating streamflow characteristics to specialized insectivores in the Tennessee River Valley: a regional approach: Ecohydrology, v. 1, no. 4, p. 394-407, https://doi.org/10.1002/eco.32.","productDescription":"14 p.","startPage":"394","endPage":"407","numberOfPages":"14","ipdsId":"IP-006881","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":278503,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.32"},{"id":278505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Tennessee River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.17,34.11 ], [ -91.17,36.68 ], [ -80.75,36.68 ], [ -80.75,34.11 ], [ -91.17,34.11 ] ] ] } } ] }","volume":"1","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-11-26","publicationStatus":"PW","scienceBaseUri":"5270d90ae4b0f7a10664fbec","contributors":{"authors":[{"text":"Knight, Rodney R. rrknight@usgs.gov","contributorId":2272,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney R.","email":"rrknight@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gregory, M. Brian","contributorId":105772,"corporation":false,"usgs":true,"family":"Gregory","given":"M.","email":"","middleInitial":"Brian","affiliations":[],"preferred":false,"id":485314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wales, Amy K.","contributorId":108021,"corporation":false,"usgs":true,"family":"Wales","given":"Amy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":485315,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236963,"text":"70236963 - 2008 - Does a boundary of the Wrangell Block extend through southern Cook Inlet and Shelikof Strait, Alaska?","interactions":[],"lastModifiedDate":"2023-11-03T16:26:22.760289","indexId":"70236963","displayToPublicDate":"2008-01-01T08:46:04","publicationYear":"2008","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Does a boundary of the Wrangell Block extend through southern Cook Inlet and Shelikof Strait, Alaska?","docAbstract":"<p>In southcentral Alaska, the boundaries of two different tectonic blocks extend southwestward from the Denali Fault toward Cook Inlet and Shelikof Strait. We use offshore multichannel seismic reflection data and oil-well stratigraphy to evaluate whether local geologic structures are compatible with boundaries of either tectonic block and with the relative motion expected across the block boundaries. Our main conclusion is that a block boundary does not extend southwestward the entire length of Shelikof Strait, as was proposed for one of the blocks. Furthermore, below southern Cook Inlet, no high-strain extensional structures that might be related to either proposed boundary are evident. Small normal faults below southern Cook Inlet could have been caused by block rotation, but they represent only minor strain. One way to explain the lack of larger structures is that the rotation began recently so that indicative boundary structures have not yet formed. Alternatively, deformation associated with the block boundaries could be distributed through onshore areas.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Active tectonics and seismic potential of Alaska","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/179GM16","usgsCitation":"Fisher, M.A., Sliter, R.W., and Wong, F.L., 2008, Does a boundary of the Wrangell Block extend through southern Cook Inlet and Shelikof Strait, Alaska?, chap. <i>of</i> Active tectonics and seismic potential of Alaska, v. 179, p. 285-295, https://doi.org/10.1029/179GM16.","productDescription":"9 p.","startPage":"285","endPage":"295","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":407260,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Shelikof Strait, southern Cook Inlet, Wrangell Block","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156,\n              60\n            ],\n            [\n              -156,\n              57\n            ],\n            [\n              -152,\n              57\n            ],\n            [\n              -152,\n              60\n            ],\n            [\n              -156,\n              60\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"179","noUsgsAuthors":false,"publicationDate":"2013-03-19","publicationStatus":"PW","contributors":{"editors":[{"text":"Freymueller, Jeffery T. 0000-0003-0614-0306","orcid":"https://orcid.org/0000-0003-0614-0306","contributorId":244609,"corporation":false,"usgs":false,"family":"Freymueller","given":"Jeffery","email":"","middleInitial":"T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":852833,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":852834,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":852835,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Ekstrom, Goran","contributorId":248378,"corporation":false,"usgs":false,"family":"Ekstrom","given":"Goran","email":"","affiliations":[{"id":49877,"text":"Lamont-Doherty Earth Observatory, Columbia University Earth Institute","active":true,"usgs":false}],"preferred":false,"id":852836,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Fisher, Michael A. mfisher@usgs.gov","contributorId":1991,"corporation":false,"usgs":true,"family":"Fisher","given":"Michael","email":"mfisher@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":852830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":852831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":852832,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032187,"text":"70032187 - 2008 - Chapter 31 Sensitivity and spin-up times of cohesive sediment transport models used to simulate bathymetric change","interactions":[],"lastModifiedDate":"2022-12-20T15:42:09.004566","indexId":"70032187","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3129,"text":"Proceedings in Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Chapter 31 Sensitivity and spin-up times of cohesive sediment transport models used to simulate bathymetric change","docAbstract":"<p>Bathymetric change in tidal environments is modulated by watershed sediment yield, hydrodynamic processes, benthic composition, and anthropogenic activities. These multiple forcings combine to complicate simple prediction of bathymetric change; therefore, numerical models are necessary to simulate sediment transport. Errors arise from these simulations, due to inaccurate initial conditions and model parameters. We investigated the response of bathymetric change to initial conditions and model parameters with a simplified zero-dimensional cohesive sediment transport model, a two-dimensional hydrodynamic/sediment transport model, and a tidally averaged box model. The zero-dimensional model consists of a well-mixed control volume subjected to a semidiurnal tide, with a cohesive sediment bed. Typical cohesive sediment parameters were utilized for both the bed and suspended sediment. The model was run until equilibrium in terms of bathymetric change was reached, where equilibrium is defined as less than the rate of sea level rise in San Francisco Bay (2.17 mm/year). Using this state as the initial condition, model parameters were perturbed 10% to favor deposition, and the model was resumed. Perturbed parameters included, but were not limited to, maximum tidal current, erosion rate constant, and critical shear stress for erosion. Bathymetric change was most sensitive to maximum tidal current, with a 10% perturbation resulting in an additional 1.4 m of deposition over 10 years. Re-establishing equilibrium in this model required 14 years. The next most sensitive parameter was the critical shear stress for erosion; when increased 10%, an additional 0.56 m of sediment was deposited and 13 years were required to re-establish equilibrium. The two-dimensional hydrodynamic/sediment transport model was calibrated to suspended-sediment concentration, and despite robust solution of hydrodynamic conditions it was unable to accurately hindcast bathymetric change. The tidally averaged box model was calibrated to bathymetric change data and shows rapidly evolving bathymetry in the first 10-20 years, though sediment supply and hydrodynamic forcing did not vary greatly. This initial burst of bathymetric change is believed to be model adjustment to initial conditions, and suggests a spin-up time of greater than 10 years. These three diverse modeling approaches reinforce the sensitivity of cohesive sediment transport models to initial conditions and model parameters, and highlight the importance of appropriate calibration data. Adequate spin-up time of the order of years is required to initialize models, otherwise the solution will contain bathymetric change that is not due to environmental forcings, but rather improper specification of initial conditions and model parameters. Temporally intensive bathymetric change data can assist in determining initial conditions and parameters, provided they are available. Computational effort may be reduced by selectively updating hydrodynamics and bathymetry, thereby allowing time for spin-up periods. reserved.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/S1568-2692(08)80033-2","usgsCitation":"Schoellhamer, D., Ganju, N., Mineart, P.R., and Lionberger, M.A., 2008, Chapter 31 Sensitivity and spin-up times of cohesive sediment transport models used to simulate bathymetric change: Proceedings in Marine Science, v. 9, p. 463-475, https://doi.org/10.1016/S1568-2692(08)80033-2.","productDescription":"13 p.","startPage":"463","endPage":"475","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":242476,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f46ae4b0c8380cd4bd00","contributors":{"editors":[{"text":"Kusuda, T.","contributorId":196747,"corporation":false,"usgs":false,"family":"Kusuda","given":"T.","email":"","affiliations":[],"preferred":false,"id":536665,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Yamanishi, H.","contributorId":196748,"corporation":false,"usgs":false,"family":"Yamanishi","given":"H.","email":"","affiliations":[],"preferred":false,"id":711414,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Spearman, J.","contributorId":196749,"corporation":false,"usgs":false,"family":"Spearman","given":"J.","email":"","affiliations":[],"preferred":false,"id":711415,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Gailani, J. Z.","contributorId":196750,"corporation":false,"usgs":false,"family":"Gailani","given":"J. Z.","affiliations":[],"preferred":false,"id":711416,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Schoellhamer, D. H. 0000-0001-9488-7340","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":85624,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"D. H.","affiliations":[],"preferred":false,"id":434942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, N. K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":64782,"corporation":false,"usgs":true,"family":"Ganju","given":"N. K.","affiliations":[],"preferred":false,"id":434941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mineart, P. R.","contributorId":11430,"corporation":false,"usgs":true,"family":"Mineart","given":"P.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":434940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lionberger, M. A.","contributorId":96494,"corporation":false,"usgs":true,"family":"Lionberger","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":434943,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033528,"text":"70033528 - 2008 - M-log A observations for recent large earthquakes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033528","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"M-log A observations for recent large earthquakes","docAbstract":"Using a magnitude (M)-log area (A) dataset augmented with seven large (M > 7.0) earthquakes occurring since Wells and Coppersmith (1994), this short note assesses the current validity of the bilinear M-log A relations for continental, strike-slip earthquakes proposed by Hanks and Bakun (2002), in particular the L-model scaling at M > 7. The relations determined by Hanks and Bakun (2002) are only insignificantly altered, leaving these bilinear M-log A relations as valid now as when first proposed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120070174","issn":"00371106","usgsCitation":"Hanks, T.C., and Bakun, W.H., 2008, M-log A observations for recent large earthquakes: Bulletin of the Seismological Society of America, v. 98, no. 1, p. 490-494, https://doi.org/10.1785/0120070174.","startPage":"490","endPage":"494","numberOfPages":"5","costCenters":[],"links":[{"id":214162,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120070174"},{"id":241856,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4aa8e4b0c8380cd68f31","contributors":{"authors":[{"text":"Hanks, Thomas C.","contributorId":35763,"corporation":false,"usgs":true,"family":"Hanks","given":"Thomas","middleInitial":"C.","affiliations":[],"preferred":false,"id":441280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bakun, W. H.","contributorId":67055,"corporation":false,"usgs":true,"family":"Bakun","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":441281,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80923,"text":"fs20083005 - 2008 - Transport of water, carbon, and sediment through the Yukon River Basin","interactions":[],"lastModifiedDate":"2019-09-20T10:23:38","indexId":"fs20083005","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"2008-3005","displayTitle":"Transport of Water, Carbon, and Sediment Through the Yukon River Basin","title":"Transport of water, carbon, and sediment through the Yukon River Basin","docAbstract":"<p>In 2001, the U.S. Geological Survey (USGS) began a water-quality study of the Yukon River. The Yukon River Basin (YRB), which encompasses 330,000 square miles in northwestern Canada and central Alaska (fig. 1), is one of the largest and most diverse ecosystems in North America. The Yukon River is more than 1,800 miles long and is one of the last great uncontrolled rivers in the world, and is essential to the eastern Bering Sea and Chukchi Sea ecosystems, providing freshwater runoff, sediments, and nutrients (Brabets and others, 2000). Despite its remoteness, recent studies (Hinzman and others, 2005; Walvoord and Striegl, 2007) indicate the YRB is changing. These changes likely are in response to a warming trend in air temperature of 1.7i??C from 1951 to 2001 (Hartmann and Wendler, 2005). As a result of this warming trend, permafrost is thawing in the YRB, ice breakup occurs earlier on the main stem of the Yukon River and its tributaries, and timing of streamflow and movement of carbon and sediment through the basin is changing (Hinzman and others, 2005; Walvoord and Striegl, 2007). One of the most striking characteristics in the YRB is its seasonality. In the YRB, more than 75 percent of the annual streamflow runoff occurs during a five month period, May through September. This is important because streamflow determines when, where, and how much of a particular constituent will be transported. As an example, more than 95 percent of all sediment transported during an average year also occurs during this period (Brabets and others, 2000). During the other 7 months, streamflow, concentrations of sediment and other water-quality constituents are low and little or no sediment transport occurs in the Yukon River and its tributaries. Streamflow and water-quality data have been collected at more than 50 sites in the YRB (Dornblaser and Halm, 2006; Halm and Dornblaser, 2007). Five sites have been sampled more than 30 times and others have been sampled twice during peak- and low-flow conditions as part of synoptic sampling campaigns. Although the synoptic data do not provide a complete picture of water quality of a particular river through the year, the data do provide a snapshot of water-quality conditions at a particular time of year. Two constituents of interest are suspended sediment and dissolved organic carbon (DOC). Suspended sediment is important because elevated concentrations can adversely affect aquatic life by obstructing fish gills, covering fish spawning sites, and altering habitat of benthic organisms. Metals and organic contaminants also tend to adsorb onto fine-grained sediment. Permafrost thawing has major implications for the carbon cycle. It is critical to understand the processes related to the transport of DOC to surface waters and how long-term climatic changes may alter these processes (Schuster and others, 2004).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20083005","usgsCitation":"Brabets, T.P., and Schuster, P.F., 2008, Transport of water, carbon, and sediment through the Yukon River Basin: U.S. Geological Survey Fact Sheet 2008-3005, 4 p., https://doi.org/10.3133/fs20083005.","productDescription":"4 p.","startPage":"0","endPage":"4","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":125661,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3005.jpg"},{"id":367591,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2008/3005/pdf/fs20083005.pdf"},{"id":10771,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3005/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166,59 ], [ -166,70 ], [ -129,70 ], [ -129,59 ], [ -166,59 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ce4b07f02db626bdf","contributors":{"authors":[{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":293854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuster, Paul F. 0000-0002-8314-1372 pschuste@usgs.gov","orcid":"https://orcid.org/0000-0002-8314-1372","contributorId":1360,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","email":"pschuste@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":293853,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":86223,"text":"tm2A5 - 2008 - Herpetological Monitoring Using a Pitfall Trapping Design in Southern California","interactions":[],"lastModifiedDate":"2012-02-02T00:14:31","indexId":"tm2A5","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"2-A5","title":"Herpetological Monitoring Using a Pitfall Trapping Design in Southern California","docAbstract":"The steps necessary to conduct a pitfall trapping survey for small terrestrial vertebrates are presented. Descriptions of the materials needed and the methods to build trapping equipment from raw materials are discussed. Recommended data collection techniques are given along with suggested data fields. Animal specimen processing procedures, including toe- and scale-clipping, are described for lizards, snakes, frogs, and salamanders. Methods are presented for conducting vegetation surveys that can be used to classify the environment associated with each pitfall trap array. Techniques for data storage and presentation are given based on commonly use computer applications. As with any study, much consideration should be given to the study design and methods before beginning any data collection effort.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Chapter 5 of Section A, Biological ScienceBook 2, Collection of Environmental Data","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/tm2A5","usgsCitation":"Fisher, R., Stokes, D., Rochester, C., Brehme, C., Hathaway, S., and Case, T., 2008, Herpetological Monitoring Using a Pitfall Trapping Design in Southern California: U.S. Geological Survey Techniques and Methods 2-A5, vi, 44 p., https://doi.org/10.3133/tm2A5.","productDescription":"vi, 44 p.","startPage":"0","endPage":"0","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":121060,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_2_a5.png"},{"id":11801,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm2a5/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db68896f","contributors":{"authors":[{"text":"Fisher, Robert","contributorId":87239,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","affiliations":[],"preferred":false,"id":297222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stokes, Drew","contributorId":25257,"corporation":false,"usgs":true,"family":"Stokes","given":"Drew","affiliations":[],"preferred":false,"id":297219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rochester, Carlton","contributorId":108209,"corporation":false,"usgs":true,"family":"Rochester","given":"Carlton","affiliations":[],"preferred":false,"id":297224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brehme, Cheryl","contributorId":93586,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","affiliations":[],"preferred":false,"id":297223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hathaway, Stacie","contributorId":45022,"corporation":false,"usgs":true,"family":"Hathaway","given":"Stacie","affiliations":[],"preferred":false,"id":297220,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Case, Ted","contributorId":64752,"corporation":false,"usgs":true,"family":"Case","given":"Ted","affiliations":[],"preferred":false,"id":297221,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":86128,"text":"ofr20081245 - 2008 - Techniques for Monitoring Razorback Sucker in the Lower Colorado River, Hoover to Parker Dams, 2006-2007, Final Report","interactions":[],"lastModifiedDate":"2012-02-02T00:14:16","indexId":"ofr20081245","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"2008-1245","title":"Techniques for Monitoring Razorback Sucker in the Lower Colorado River, Hoover to Parker Dams, 2006-2007, Final Report","docAbstract":"Trammel netting is generally the accepted method of monitoring razorback sucker in reservoirs, but this method is ineffective for monitoring this fish in rivers. Trammel nets set in the current become fouled with debris, and nets set in backwaters capture high numbers of nontarget species. Nontargeted fish composed 97 percent of fish captured in previous studies (1999-2005). In 2005, discovery of a large spawning aggregation of razorback sucker in midchannel near Needles, Calif., prompted the development of more effective methods to monitor this and possibly other riverine fish populations. \r\nThis study examined the effectiveness of four methods of monitoring razorback sucker in a riverine environment. Hoop netting, electrofishing, boat surveys, and aerial photography were evaluated in terms of data accuracy, costs, stress on targeted fish, and effect on nontargeted fish as compared with trammel netting. \r\nTrammel netting in the riverine portion of the Colorado River downstream of Davis Dam, Arizona-Nevada yielded an average of 43 razorback suckers a year (1999 to 2005). Capture rates averaged 0.5 razorback suckers per staff day effort, at a cost exceeding $1,100 per fish. Population estimates calculated for 2003-2005 were 3,570 (95 percent confidence limits [CL] = 1,306i??i??i??-8,925), 1,768 (CL = 878-3,867) and 1,652 (CL = 706-5,164); wide confidence ranges reflect the small sample size. By-catch associated with trammel netting included common carp, game fish and, occasionally, shorebirds, waterfowl, and muskrats. \r\nHoop nets were prone to downstream drift owing to design and anchoring problems aggravated by hydropower ramping. Tests were dropped after the 2006 field season and replaced with electrofishing. \r\nElectrofishing at night during low flow and when spawning razorback suckers moved to the shoreline proved extremely effective. In 2006 and 2007, 263 and 299 (respectively) razorback suckers were taken. Capture rates averaged 8.3 razorback suckers per staff day at a cost of $62 per fish. The adult population was estimated at 1,196 (925-1,546) fish. Compared with trammel netting, confidence limits narrowed substantially, from +or- 500 percent to +or- 30 percent, reflecting more precise estimates. By-catch was limited to two common carp. No recreational game fish, waterfowl, or mammals were captured or handled during use of electrofishing. \r\nAerial photography (2006 and 2007) suggested an annual average of 580 fish detected on imagery. Identification of species was not possible; carp commonly have been mistaken for razorback sucker. Field verification determined that the proportion of razorback suckers to other fish was 3:1. On that basis, we estimated 435 razorback suckers were photographed, which equals 8.4 razorback suckers per staff day at a cost of $78 per fish. The data did not lend itself to population estimates. \r\nFish were more easily identified from boats, where their lateral rather than their dorsal aspect is visible. On average, 888 razorback suckers were positively identified each year. Observation rates averaged 29.6 razorback suckers per staff day at a cost less than $18 per fish observed. Sucker densities averaged 20.5 and 9.6 fish/hectare which equated to an average spawning population at Needles, Calif., of 2,520 in 2006 and 1152 in 2007. The lower 2007 estimate reflected a refinement in sampling approach which removed a sampling bias. \r\nElectrofishing and boat surveys were more cost effective than other methods tested, and they provided more accurate information without the by-catch associated with trammel netting. However, they provided different types of data. Handling fish may be necessary for research purposes but unnecessary for general trend analysis. Electrofishing was extremely effective but can harm fish if not used with caution. Unnecessary electrofishing increases the likelihood of spinal damage and possible damage to eggs and potential young, and it may alter spawning behavior or duration. B","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081245","collaboration":"Prepared in cooperation with the Bureau of Reclamation, TSC, Denver, Colorado under the Multi-Species Conservation Program Work Task G-3 Adaptive Management Research Project and Conservation Measure RASU-6, Lower Colorado Regional Office, Boulder City, Nevada","usgsCitation":"Mueller, G.A., Wydoski, R., Best, E., Hiebert, S., Lantow, J., Santee, M., Goettlicher, B., and Millosovich, J., 2008, Techniques for Monitoring Razorback Sucker in the Lower Colorado River, Hoover to Parker Dams, 2006-2007, Final Report (Version 1.0): U.S. Geological Survey Open-File Report 2008-1245, vi, 34 p., https://doi.org/10.3133/ofr20081245.","productDescription":"vi, 34 p.","startPage":"0","endPage":"0","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":190786,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11695,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1245/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db686189","contributors":{"authors":[{"text":"Mueller, Gordon A.","contributorId":86420,"corporation":false,"usgs":true,"family":"Mueller","given":"Gordon","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":296903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wydoski, Richard","contributorId":14843,"corporation":false,"usgs":true,"family":"Wydoski","given":"Richard","affiliations":[],"preferred":false,"id":296896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Best, Eric","contributorId":39071,"corporation":false,"usgs":true,"family":"Best","given":"Eric","email":"","affiliations":[],"preferred":false,"id":296900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hiebert, Steve","contributorId":52216,"corporation":false,"usgs":true,"family":"Hiebert","given":"Steve","email":"","affiliations":[],"preferred":false,"id":296901,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lantow, Jeff","contributorId":18066,"corporation":false,"usgs":true,"family":"Lantow","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":296897,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Santee, Mark","contributorId":30693,"corporation":false,"usgs":true,"family":"Santee","given":"Mark","email":"","affiliations":[],"preferred":false,"id":296899,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goettlicher, Bill","contributorId":60723,"corporation":false,"usgs":true,"family":"Goettlicher","given":"Bill","email":"","affiliations":[],"preferred":false,"id":296902,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Millosovich, Joe","contributorId":20425,"corporation":false,"usgs":true,"family":"Millosovich","given":"Joe","email":"","affiliations":[],"preferred":false,"id":296898,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70033226,"text":"70033226 - 2008 - Molecular and phenotypic diversity in Chionactis occipitalis (Western Shovel-nosed Snake), with emphasis on the status of C. o. klauberi (Tucson Shovel-nosed Snake).","interactions":[],"lastModifiedDate":"2012-03-12T17:21:35","indexId":"70033226","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Molecular and phenotypic diversity in Chionactis occipitalis (Western Shovel-nosed Snake), with emphasis on the status of C. o. klauberi (Tucson Shovel-nosed Snake).","docAbstract":"Chionactis occipitalis (Western Shovel-nosed Snake) is a small colubrid snake inhabiting the arid regions of the Mojave, Sonoran, and Colorado deserts. Morphological assessments of taxonomy currently recognize four subspecies. However, these taxonomic proposals were largely based on weak morphological differentiation and inadequate geographic sampling. Our goal was to explore evolutionary relationships and boundaries among subspecies of C. occipitalis, with particular focus on individuals within the known range of C. o. klauberi (Tucson Shovel-nosed snake). Population sizes and range for C. o. klauberi have declined over the last 25 years due to habitat alteration and loss prompting a petition to list this subspecies as endangered. We examined the phylogeography, population structure, and subspecific taxonomy of C. occipitalis across its geographic range with genetic analysis of 1100 bases of mitochondrial DNA sequence and reanalysis of 14 morphological characters from 1543 museum specimens. We estimated the species gene phylogeny from 81 snakes using Bayesian inference and explored possible factors influencing genetic variation using landscape genetic analyses. Phylogenetic and population genetic analyses reveal genetic isolation and independent evolutionary trajectories for two primary clades. Our data indicate that diversification between these clades has developed as a result of both historical vicariance and environmental isolating mechanisms. Thus these two clades likely comprise 'evolutionary significant units' (ESUs). Neither molecular nor morphological data are concordant with the traditional C. occipitalis subspecies taxonomy. Mitochondrial sequences suggest specimens recognized as C. o. klauberi are embedded in a larger geographic clade whose range has expanded from western Arizona populations, and these data are concordant with clinal longitudinal variation in morphology. ?? 2007 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10592-007-9482-0","issn":"15660","usgsCitation":"Wood, D., Meik, J., Holycross, A., Fisher, R., and Vandergast, A.G., 2008, Molecular and phenotypic diversity in Chionactis occipitalis (Western Shovel-nosed Snake), with emphasis on the status of C. o. klauberi (Tucson Shovel-nosed Snake).: Conservation Genetics, v. 9, no. 6, p. 1489-1507, https://doi.org/10.1007/s10592-007-9482-0.","startPage":"1489","endPage":"1507","numberOfPages":"19","costCenters":[],"links":[{"id":213219,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-007-9482-0"},{"id":240823,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"6","noUsgsAuthors":false,"publicationDate":"2007-12-20","publicationStatus":"PW","scienceBaseUri":"505a5cf6e4b0c8380cd70076","contributors":{"authors":[{"text":"Wood, D.A.","contributorId":70099,"corporation":false,"usgs":true,"family":"Wood","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":439917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meik, J.M.","contributorId":77260,"corporation":false,"usgs":true,"family":"Meik","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":439918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holycross, A.T.","contributorId":79060,"corporation":false,"usgs":false,"family":"Holycross","given":"A.T.","affiliations":[],"preferred":false,"id":439919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":439915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":439916,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196017,"text":"70196017 - 2008 - Application of RHIZON samplers to obtain high-resolution pore-fluid records during geochemical investigations of gas hydrate systems","interactions":[],"lastModifiedDate":"2018-03-13T15:14:34","indexId":"70196017","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1641,"text":"Fire in the Ice: NETL Methane Hydrate Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Application of RHIZON samplers to obtain high-resolution pore-fluid records during geochemical investigations of gas hydrate systems","docAbstract":"<p>Obtaining accurate, high-resolution profiles of pore fluid constituents is critical for characterizing the subsurface geochemistry of hydrate-bearing sediments. Tightly-constrained downcore profiles provide clues about fluid sources, fluid flow, and the milieu of chemical and diagenetic reactions, all of which are used to interpret where and why gas and gas hydrate occur in the natural environment. Because a profile’s quality is only as good as the samples from which the data are obtained, a great deal of effort has been exerted to develop extraction systems suited to various sedimentary regimes. Pore water from deeply buried sediment recovered by scientific drilling is typically squeezed with a hydraulic press (Manheim, 1966); whereas pore water in near-surface, less consolidated sediment is more efficiently pushed from the sediment using compressed gas (Reeburgh, 1967) or centrifugation. </p>","language":"English","publisher":"U.S. Department of Energy","usgsCitation":"Pohlman, J., Riedel, M., Waite, W., Rose, K., and Lapham, L., 2008, Application of RHIZON samplers to obtain high-resolution pore-fluid records during geochemical investigations of gas hydrate systems: Fire in the Ice: NETL Methane Hydrate Newsletter, v. 8, no. 4, p. 16-17.","productDescription":"2 p.","startPage":"16","endPage":"17","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":352458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352456,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.netl.doe.gov/File%20Library/Research/Oil-Gas/methane%20hydrates/HMNewsFall08.pdf#page=16","linkFileType":{"id":1,"text":"pdf"}},{"id":352457,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.netl.doe.gov/research/oil-and-gas/methane-hydrates/fire-in-the-ice"}],"volume":"8","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afefd6be4b0da30c1bfcafc","contributors":{"authors":[{"text":"Pohlman, John W. jpohlman@usgs.gov","contributorId":3307,"corporation":false,"usgs":true,"family":"Pohlman","given":"John W.","email":"jpohlman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":730927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riedel, M","contributorId":200386,"corporation":false,"usgs":false,"family":"Riedel","given":"M","affiliations":[],"preferred":false,"id":730928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":730929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, K.","contributorId":43594,"corporation":false,"usgs":true,"family":"Rose","given":"K.","email":"","affiliations":[],"preferred":false,"id":730930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lapham, L.","contributorId":189178,"corporation":false,"usgs":false,"family":"Lapham","given":"L.","affiliations":[],"preferred":false,"id":730931,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047217,"text":"70047217 - 2008 - Calibration of GOES-derived solar radiation data using a distributed network of surface measurements in Florida, USA","interactions":[],"lastModifiedDate":"2017-06-30T15:35:47","indexId":"70047217","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Calibration of GOES-derived solar radiation data using a distributed network of surface measurements in Florida, USA","docAbstract":"<p><span>Solar radiation data are critically important for the estimation of evapotranspiration. Analysis of visible-channel data derived from Geostationary Operational Environmental Satellites (GOES) using radiative transfer modeling has been used to produce spatially- and temporally-distributed datasets of solar radiation. An extensive network of (pyranometer) surface measurements of solar radiation in the State of Florida has allowed refined calibration of a GOES-derived daily integrated radiation data product. This refinement of radiation data allowed for corrections of satellite sensor drift, satellite generational change, and consideration of the highly-variable cloudy conditions that are typical of Florida. To aid in calibration of a GOES-derived radiation product, solar radiation data for the period 1995&ndash;2004 from 58 field stations that are located throughout the State were compiled. The GOES radiation product was calibrated by way of a three-step process: 1) comparison with ground-based pyranometer measurements on clear reference days, 2) correcting for a bias related to cloud cover, and 3) deriving month-by-month bias correction factors. Pre-calibration results indicated good model performance, with a station-averaged model error of 2.2 MJ m</span><sup>&ndash;2</sup><span>&nbsp;day</span><sup>&ndash;1</sup><span>&nbsp;(13 percent). Calibration reduced errors to 1.7 MJ m</span><sup>&ndash;2</sup><span>&nbsp;day</span><sup>&ndash;1</sup><span>&nbsp;(10 percent) and also removed time- and cloudiness-related biases. The final dataset has been used to produce Statewide evapotranspiration estimates.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"World Environmental and Water Resources Congress 2008: Ahupua'A","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2008 World Environmental and Water Resources Congress","conferenceDate":"May 12-16, 2008","conferenceLocation":"Honolulu, Hawaii","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/40976(316)95","usgsCitation":"Sumner, D.M., Pathak, C.S., Mecikalski, J.R., Paech, S.J., Wu, Q., and Sangoyomi, T., 2008, Calibration of GOES-derived solar radiation data using a distributed network of surface measurements in Florida, USA, <i>in</i> World Environmental and Water Resources Congress 2008: Ahupua'A, Honolulu, Hawaii, May 12-16, 2008, p. 1-10, https://doi.org/10.1061/40976(316)95.","productDescription":"10 p.","startPage":"1","endPage":"10","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-004316","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":287843,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.57202148437499,\n              31.024694128525137\n            ],\n            [\n              -84.979248046875,\n              31.024694128525137\n            ],\n            [\n              -84.825439453125,\n              30.713503990354965\n            ],\n            [\n              -82.2216796875,\n              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Jr.","contributorId":113551,"corporation":false,"usgs":true,"family":"Babcock","given":"Roger","suffix":"Jr.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":509404,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Walton, Raymond","contributorId":111681,"corporation":false,"usgs":true,"family":"Walton","given":"Raymond","email":"","affiliations":[],"preferred":false,"id":509403,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Sumner, David M. 0000-0002-2144-9304 dmsumner@usgs.gov","orcid":"https://orcid.org/0000-0002-2144-9304","contributorId":1362,"corporation":false,"usgs":true,"family":"Sumner","given":"David","email":"dmsumner@usgs.gov","middleInitial":"M.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true},{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":481423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pathak, Chandra S.","contributorId":84507,"corporation":false,"usgs":true,"family":"Pathak","given":"Chandra","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":481428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mecikalski, John R.","contributorId":70689,"corporation":false,"usgs":true,"family":"Mecikalski","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":481427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paech, Simon J.","contributorId":11512,"corporation":false,"usgs":true,"family":"Paech","given":"Simon","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Qinglong","contributorId":63950,"corporation":false,"usgs":true,"family":"Wu","given":"Qinglong","affiliations":[],"preferred":false,"id":481426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sangoyomi, Taiye","contributorId":33626,"corporation":false,"usgs":true,"family":"Sangoyomi","given":"Taiye","email":"","affiliations":[],"preferred":false,"id":481425,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190423,"text":"70190423 - 2008 - Preliminary results of the U.S. Nuclear Regulatory Commission collaborative research program to assess tsunami hazard for nuclear power plants on the Atlantic and gulf coasts","interactions":[],"lastModifiedDate":"2019-08-09T13:07:27","indexId":"70190423","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preliminary results of the U.S. Nuclear Regulatory Commission collaborative research program to assess tsunami hazard for nuclear power plants on the Atlantic and gulf coasts","docAbstract":"<p>In response to the 2004 Indian Ocean Tsunami, the United States Nuclear Regulatory Commission (US NRC) initiated a long-term research program to improve understanding of tsunami hazard levels for nuclear facilities in the United States. For this effort, the US NRC organized a collaborative research program with the United States Geological Survey (USGS) and other key researchers for the purpose of assessing tsunami hazard on the Atlantic and Gulf Coasts of the United States. The initial phase of this work consisted principally of collection, interpretation, and analysis of available offshore data and information. Necessarily, the US NRC research program includes both seismic- and landslide-based tsunamigenic sources in both the near and the far fields. The inclusion of tsunamigenic landslides, an important category of sources that impact tsunami hazard levels for the Atlantic and Gulf Coasts over the long time periods of interest to the US NRC is a key difference between this program and most other tsunami hazard assessment programs. Although only a few years old, this program is already producing results that both support current US NRC activities and look toward the long-term goal of probabilistic tsunami hazard assessment. This paper provides a summary of results from several areas of current research. An overview of the broader US NRC research program is provided in a companion paper in this conference. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 14th world conference on earthquake engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"The 14th world conference on earthquake engineering","conferenceDate":"October 12-17, 2008","conferenceLocation":"Beijing, China","language":"English","usgsCitation":"Kammerer, A., ten Brink, U., Twitchell, D.C., Geist, E.L., Chaytor, J., Locat, J., Lee, H.J., Buczkowski, B.J., and Sansoucy, M., 2008, Preliminary results of the U.S. Nuclear Regulatory Commission collaborative research program to assess tsunami hazard for nuclear power plants on the Atlantic and gulf coasts, <i>in</i> Proceedings of the 14th world conference on earthquake engineering, Beijing, China, October 12-17, 2008, 8 p.","productDescription":"8 p.","ipdsId":"IP-009977","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":345370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345351,"type":{"id":15,"text":"Index Page"},"url":"https://www.14wcee.org/Proceedings/isv7/main.htm"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a7ced0e4b0fd9b77d09290","contributors":{"authors":[{"text":"Kammerer, A.M.","contributorId":64383,"corporation":false,"usgs":false,"family":"Kammerer","given":"A.M.","email":"","affiliations":[{"id":12528,"text":"US Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":709090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":709091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Twitchell, David C.","contributorId":139589,"corporation":false,"usgs":false,"family":"Twitchell","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address:  TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":709092,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":709093,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":4961,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason D.","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":709094,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Locat, J.","contributorId":56392,"corporation":false,"usgs":false,"family":"Locat","given":"J.","email":"","affiliations":[{"id":25484,"text":"Université Laval, Québec City, Canada","active":true,"usgs":false}],"preferred":false,"id":709096,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lee, H. 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,{"id":70193770,"text":"70193770 - 2008 - Levee evaluation using MASW: Preliminary findings from the Citrus Lakefront Levee, New Orleans, Louisiana","interactions":[],"lastModifiedDate":"2019-10-21T11:54:01","indexId":"70193770","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Levee evaluation using MASW: Preliminary findings from the Citrus Lakefront Levee, New Orleans, Louisiana","docAbstract":"<p><span>The utility of the multi‐channel analysis of surface waves (MASW) seismic method for non‐invasive assessment of earthen levees was evaluated for a section of the Citrus Lakefront Levee, New Orleans, Louisiana. This test was conducted after the New Orleans' area levee system had been stressed by Hurricane Katrina in 2005. The MASW data were acquired in a seismically noisy, urban environment using an accelerated weight‐drop seismic source and a towed seismic land streamer. Much of the seismic data were contaminated with higher‐order mode guided‐waves, requiring application of muting filtering techniques to improve interpretability of the dispersion curves. Comparison of shear‐wave velocity sections with boring logs suggests the existence of four distinct horizontal layers within and beneath the levee: (1) the levee core, (2) the levee basal layer of fat clay, (3) a sublevel layer of silty sand, and (4) underlying Pleistocene deposits of sandy lean clay. Along the surveyed section of levee, lateral variations in shear‐wave velocity are interpreted as changes in material rigidity, suggestive of construction or geologic heterogeneity, or possibly, that dynamic processes (such as differential settlement) are affecting discrete levee areas. The results of this study suggest that the MASW method is a geophysical tool with significant potential for non‐invasive characterization of vertical and horizontal variations in levee material shear strength. Additional work, however, is needed to fully understand and address the complex seismic wave propagation in levee structures.</span><span></span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","publisherLocation":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2008","doi":"10.4133/1.2963312","usgsCitation":"Lane, J.W., Ivanov, J.M., Day-Lewis, F.D., Clemens, D., Patev, R., and Miller, R.D., 2008, Levee evaluation using MASW: Preliminary findings from the Citrus Lakefront Levee, New Orleans, Louisiana, p. 703-712, https://doi.org/10.4133/1.2963312.","productDescription":"10 p.","startPage":"703","endPage":"712","ipdsId":"IP-003947","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":350804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"New Orleans","otherGeospatial":"Citrus Lakefront Levee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.2801513671875,\n              29.864465259258\n            ],\n            [\n              -89.93682861328125,\n              29.864465259258\n            ],\n            [\n              -89.93682861328125,\n              30.0405664305846\n            ],\n            [\n              -90.2801513671875,\n              30.0405664305846\n            ],\n            [\n              -90.2801513671875,\n              29.864465259258\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2008-09-30","publicationStatus":"PW","scienceBaseUri":"5a719272e4b0a9a2e9dbde36","contributors":{"authors":[{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":720330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivanov, Julian M.","contributorId":80844,"corporation":false,"usgs":true,"family":"Ivanov","given":"Julian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":720329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clemens, Drew","contributorId":199902,"corporation":false,"usgs":false,"family":"Clemens","given":"Drew","email":"","affiliations":[],"preferred":false,"id":720331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patev, Robert","contributorId":199912,"corporation":false,"usgs":false,"family":"Patev","given":"Robert","email":"","affiliations":[],"preferred":false,"id":720334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Richard D.","contributorId":56406,"corporation":false,"usgs":false,"family":"Miller","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":720333,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193771,"text":"70193771 - 2008 - Estimation of bedrock depth using the horizontal‐to‐vertical (H/V) ambient‐noise seismic method","interactions":[],"lastModifiedDate":"2019-10-21T12:15:27","indexId":"70193771","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimation of bedrock depth using the horizontal‐to‐vertical (H/V) ambient‐noise seismic method","docAbstract":"<p><span>Estimating sediment thickness and the geometry of the bedrock surface is a key component of many hydrogeologic studies. The horizontal‐to‐vertical (H/V) ambient‐noise seismic method is a novel, non‐invasive technique that can be used to rapidly estimate the depth to bedrock. The H/V method uses a single, broad‐band three‐component seismometer to record ambient seismic noise. The ratio of the averaged horizontal‐to‐vertical frequency spectrum is used to determine the fundamental site resonance frequency, which can be interpreted using regression equations to estimate sediment thickness and depth to bedrock. The U.S. Geological Survey used the H/V seismic method during fall 2007 at 11 sites in Cape Cod, Massachusetts, and 13 sites in eastern Nebraska. In Cape Cod, H/V measurements were acquired along a 60‐kilometer (km) transect between Chatham and Provincetown, where glacial sediments overlie metamorphic rock. In Nebraska, H/V measurements were acquired along approximately 11‐ and 14‐km transects near Firth and Oakland, respectively, where glacial sediments overlie weathered sedimentary rock. The ambient‐noise seismic data from Cape Cod produced clear, easily identified resonance frequency peaks. The interpreted depth and geometry of the bedrock surface correlate well with boring data and previously published seismic refraction surveys. Conversely, the ambient‐noise seismic data from eastern Nebraska produced subtle resonance frequency peaks, and correlation of the interpreted bedrock surface with bedrock depths from borings is poor, which may indicate a low acoustic impedance contrast between the weathered sedimentary rock and overlying sediments and/or the effect of wind noise on the seismic records. Our results indicate the H/V ambient‐noise seismic method can be used effectively to estimate the depth to rock where there is a significant acoustic impedance contrast between the sediments and underlying rock. However, effective use of the method is challenging in the presence of gradational contacts such as gradational weathering or cementation. Further work is needed to optimize interpretation of resonance frequencies in the presence of extreme wind noise. In addition, local estimates of bedrock depth likely could be improved through development of regional or study‐area‐specific regression equations relating resonance frequency to bedrock depth.</span><span></span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2008","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/1.2963289","usgsCitation":"Lane, J.W., White, E.A., Steele, G.V., and Cannia, J.C., 2008, Estimation of bedrock depth using the horizontal‐to‐vertical (H/V) ambient‐noise seismic method, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2008, p. 490-502, https://doi.org/10.4133/1.2963289.","productDescription":"13 p.","startPage":"490","endPage":"502","ipdsId":"IP-003887","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":350806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2008-09-30","publicationStatus":"PW","scienceBaseUri":"5a719272e4b0a9a2e9dbde33","contributors":{"authors":[{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":720338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":720335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele, Gregory V. gvsteele@usgs.gov","contributorId":783,"corporation":false,"usgs":true,"family":"Steele","given":"Gregory","email":"gvsteele@usgs.gov","middleInitial":"V.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":720336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannia, James C.","contributorId":94356,"corporation":false,"usgs":true,"family":"Cannia","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720337,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193772,"text":"70193772 - 2008 - Characterizing submarine ground‐water discharge using fiber‐optic distributed temperature sensing and marine electrical resistivity","interactions":[],"lastModifiedDate":"2019-10-21T11:44:05","indexId":"70193772","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Characterizing submarine ground‐water discharge using fiber‐optic distributed temperature sensing and marine electrical resistivity","docAbstract":"<p><span>Submarine ground‐water discharge (SGD) contributes important solute fluxes to coastal waters. Pollutants are transported to coastal ecosystems by SGD at spatially and temporally variable rates. New approaches are needed to characterize the effects of storm‐event, tidal, and seasonal forcing on SGD. Here, we evaluate the utility of two geophysical methods‐fiber‐optic distributed temperature sensing (FO‐DTS) and marine electrical resistivity (MER)—for observing the spatial and temporal variations in SGD and the configuration of the freshwater/saltwater interface within submarine sediments. FO‐DTS and MER cables were permanently installed into the estuary floor on a transect extending 50 meters offshore under Waquoit Bay, Massachusetts, at the Waquoit Bay National Estuarine Research Reserve, and nearly continuous data were collected for 4 weeks in summer 2007. Initial results indicate that the methods are extremely useful for monitoring changes in the complex estuarine environment. The FO‐DTS produced time‐series data at approximately 1‐meter increments along the length of the fiber at approximately 29‐second intervals. The temperature time‐series data show that the temperature at near‐shore locations appears to be dominated by a semi‐diurnal (tidal) signal, whereas the temperature at off‐shore locations is dominated by a diurnal signal (day/night heating and cooling). Dipole‐dipole MER surveys were completed about every 50 minutes, allowing for production of high‐resolution time‐lapse tomograms, which provide insight into the variations of the subsurface freshwater/saltwater interface. Preliminary results from the MER data show a high‐resistivity zone near the shore at low tide, indicative of SGD, and consistent with the FO‐DTS results.</span><span></span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2008","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/1.2963319","usgsCitation":"Henderson, R., Day-Lewis, F.D., Lane, J.W., Harvey, C.F., and Liu, L., 2008, Characterizing submarine ground‐water discharge using fiber‐optic distributed temperature sensing and marine electrical resistivity, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2008, p. 775-785, https://doi.org/10.4133/1.2963319.","productDescription":"11 p.","startPage":"775","endPage":"785","ipdsId":"IP-003962","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":476701,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.9270","text":"External Repository"},{"id":350802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2008-09-30","publicationStatus":"PW","scienceBaseUri":"5a719271e4b0a9a2e9dbde30","contributors":{"authors":[{"text":"Henderson, Rory rhenders@usgs.gov","contributorId":2083,"corporation":false,"usgs":true,"family":"Henderson","given":"Rory","email":"rhenders@usgs.gov","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":720341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":720339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":720340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Charles F.","contributorId":199836,"corporation":false,"usgs":false,"family":"Harvey","given":"Charles","email":"","middleInitial":"F.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":720342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, Lanbo","contributorId":199850,"corporation":false,"usgs":false,"family":"Liu","given":"Lanbo","email":"","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":720343,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033206,"text":"70033206 - 2008 - Using the FORE-SCE model to project land-cover change in the southeastern United States","interactions":[],"lastModifiedDate":"2017-04-03T14:39:52","indexId":"70033206","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Using the FORE-SCE model to project land-cover change in the southeastern United States","docAbstract":"A wide variety of ecological applications require spatially explicit current and projected land-use and land-cover data. The southeastern United States has experienced massive land-use change since European settlement and continues to experience extremely high rates of forest cutting, significant urban development, and changes in agricultural land use. Forest-cover patterns and structure are projected to change dramatically in the southeastern United States in the next 50 years due to population growth and demand for wood products [Wear, D.N., Greis, J.G. (Eds.), 2002. Southern Forest Resource Assessment. General Technical Report SRS-53. U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC, 635 pp]. Along with our climate partners, we are examining the potential effects of southeastern U.S. land-cover change on regional climate. The U.S. Geological Survey (USGS) Land Cover Trends project is analyzing contemporary (1973-2000) land-cover change in the conterminous United States, providing ecoregion-by-ecoregion estimates of the rates of change, descriptive transition matrices, and changes in landscape metrics. The FORecasting SCEnarios of future land-cover (FORE-SCE) model used Land Cover Trends data and theoretical, statistical, and deterministic modeling techniques to project future land-cover change through 2050 for the southeastern United States. Prescriptions for future proportions of land cover for this application were provided by ecoregion-based extrapolations of historical change. Logistic regression was used to develop relationships between suspected drivers of land-cover change and land cover, resulting in the development of probability-of-occurrence surfaces for each unique land-cover type. Forest stand age was initially established with Forest Inventory and Analysis (FIA) data and tracked through model iterations. The spatial allocation procedure placed patches of new land cover on the landscape until the scenario prescriptions were met, using measured Land Cover Trends data to guide patch characteristics and the probability surfaces to guide placement. The approach provides an efficient method for extrapolating historical land-cover trends and is amenable to the incorporation of more detailed and focused studies for the establishment of scenario prescriptions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2008.08.003","issn":"03043","usgsCitation":"Sohl, T., and Sayler, K., 2008, Using the FORE-SCE model to project land-cover change in the southeastern United States: Ecological Modelling, v. 219, no. 1-2, p. 49-65, https://doi.org/10.1016/j.ecolmodel.2008.08.003.","productDescription":"17 p.","startPage":"49","endPage":"65","numberOfPages":"17","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241055,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213430,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2008.08.003"}],"volume":"219","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc0aee4b08c986b32a276","contributors":{"authors":[{"text":"Sohl, Terry 0000-0002-9771-4231","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":81861,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":439830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":439829,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033294,"text":"70033294 - 2008 - Modeling soil moisture processes and recharge under a melting snowpack","interactions":[],"lastModifiedDate":"2018-09-18T09:12:16","indexId":"70033294","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling soil moisture processes and recharge under a melting snowpack","docAbstract":"Recharge into granitic bedrock under a melting snowpack is being investigated as part of a study designed to understand hydrologic processes involving snow at Yosemite National Park in the Sierra Nevada Mountains of California. Snowpack measurements, accompanied by water content and matric potential measurements of the soil under the snowpack, allowed for estimates of infiltration into the soil during snowmelt and percolation into the bedrock. During portions of the snowmelt period, infiltration rates into the soil exceeded the permeability of the bedrock and caused ponding to be sustained at the soil-bedrock interface. During a 5-d period with little measured snowmelt, drainage of the ponded water into the underlying fractured granitic bedrock was estimated to be 1.6 cm d?1, which is used as an estimate of bedrock permeability. The numerical simulator TOUGH2 was used to reproduce the field data and evaluate the potential for vertical flow into the fractured bedrock or lateral flow at the bedrock-soil interface. During most of the snowmelt season, the snowmelt rates were near or below the bedrock permeability. The field data and model results support the notion that snowmelt on the shallow soil overlying low permeability bedrock becomes direct infiltration unless the snowmelt rate greatly exceeds the bedrock permeability. Late in the season, melt rates are double that of the bedrock permeability (although only for a few days) and may tend to move laterally at the soil-bedrock interface downgradient and contribute directly to streamflow. ?? Soil Science Society of America.","largerWorkTitle":"Vadose Zone Journal","language":"English","doi":"10.2136/vzj2006.0135","issn":"15391663","usgsCitation":"Flint, A.L., Flint, L.E., and Dettinger, M.D., 2008, Modeling soil moisture processes and recharge under a melting snowpack, <i>in</i> Vadose Zone Journal, v. 7, no. 1, p. 350-357, https://doi.org/10.2136/vzj2006.0135.","startPage":"350","endPage":"357","numberOfPages":"8","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":240796,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213193,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/vzj2006.0135"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c2be4b0c8380cd6fab8","contributors":{"authors":[{"text":"Flint, A. L.","contributorId":102453,"corporation":false,"usgs":true,"family":"Flint","given":"A.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":440205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, L. E. 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":38180,"corporation":false,"usgs":true,"family":"Flint","given":"L.","middleInitial":"E.","affiliations":[],"preferred":false,"id":440203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":440204,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035274,"text":"70035274 - 2008 - Dike orientations in the late jurassic independence dike swarm and implications for vertical-axis tectonic rotations in eastern California","interactions":[],"lastModifiedDate":"2012-03-12T17:21:54","indexId":"70035274","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Dike orientations in the late jurassic independence dike swarm and implications for vertical-axis tectonic rotations in eastern California","docAbstract":"Analysis of the strikes of 3841 dikes in 47 domains in the 500-km-long Late Jurassic Independence dike swarm indicates a distribution that is skewed clockwise from the dominant northwest strike. Independence dike swarm azimuths tend to cluster near 325?? ?? 30??, consistent with initial subparallel intrusion along much of the swarm. Dike azimuths in a quarter of the domains vary widely from the dominant trend. In domains in the essentially unrotated Sierra Nevada block, mean dike azimuths range mostly between 300?? and 320??, with the exception of Mount Goddard (247??). Mean dike azimuths in domains in the Basin and Range Province in the Argus, Inyo, and White Mountains areas range from 291?? to 354?? the mean is 004?? in the El Paso Mountains. In the Mojave Desert, mean dike azimuths range from 318?? to 023??, and in the eastern Transverse Ranges, they range from 316?? to 051??. Restoration for late Cenozoic vertical-axis rotations, suggested by paleodeclinations determined from published studies from nearby Miocene and younger rocks, shifts dike azimuths into better agreement with azimuths measured in the tectonically stable Sierra Nevada. This confirms that vertical-axis tectonic rotations explain some of the dispersion in orientation, especially in the Mojave Desert and eastern Transverse Ranges, and that the dike orientations can be a useful if imperfect guide to tectonic rotations where paleomagnetic data do not exist. Large deviations from the main trend of the swarm may reflect (1) clockwise rotations for which there is no paleomagnetic evidence available, (2) dike intrusions of other ages, (3) crack filling at angles oblique or perpendicular to the main swarm, (4) pre-Miocene rotations, or (5) unrecognized domain boundaries between dike localities and sites with paleomagnetic determinations. ?? 2008 The Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Special Paper of the Geological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/2008.2438(17)","issn":"00721077","usgsCitation":"Hopson, R., Hillhouse, J.W., and Howard, K.A., 2008, Dike orientations in the late jurassic independence dike swarm and implications for vertical-axis tectonic rotations in eastern California: Special Paper of the Geological Society of America, no. 438, p. 481-498, https://doi.org/10.1130/2008.2438(17).","startPage":"481","endPage":"498","numberOfPages":"18","costCenters":[],"links":[{"id":243102,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215307,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/2008.2438(17)"}],"issue":"438","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a019de4b0c8380cd4fc90","contributors":{"authors":[{"text":"Hopson, R.F.","contributorId":77379,"corporation":false,"usgs":true,"family":"Hopson","given":"R.F.","email":"","affiliations":[],"preferred":false,"id":449983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hillhouse, John W.","contributorId":29475,"corporation":false,"usgs":true,"family":"Hillhouse","given":"John","middleInitial":"W.","affiliations":[],"preferred":false,"id":449981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, K. A.","contributorId":48938,"corporation":false,"usgs":false,"family":"Howard","given":"K.","middleInitial":"A.","affiliations":[],"preferred":false,"id":449982,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032626,"text":"70032626 - 2008 - Diagnosis of an intense atmospheric river impacting the pacific northwest: Storm summary and offshore vertical structure observed with COSMIC satellite retrievals","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032626","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2786,"text":"Monthly Weather Review","active":true,"publicationSubtype":{"id":10}},"title":"Diagnosis of an intense atmospheric river impacting the pacific northwest: Storm summary and offshore vertical structure observed with COSMIC satellite retrievals","docAbstract":"This study uses the new satellite-based Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) mission to retrieve tropospheric profiles of temperature and moisture over the data-sparse eastern Pacific Ocean. The COSMIC retrievals, which employ a global positioning system radio occultation technique combined with \"first-guess\" information from numerical weather prediction model analyses, are evaluated through the diagnosis of an intense atmospheric river (AR; i.e., a narrow plume of strong water vapor flux) that devastated the Pacific Northwest with flooding rains in early November 2006. A detailed analysis of this AR is presented first using conventional datasets and highlights the fact that ARs are critical contributors to West Coast extreme precipitation and flooding events. Then, the COSMIC evaluation is provided. Offshore composite COSMIC soundings north of, within, and south of this AR exhibited vertical structures that are meteorologically consistent with satellite imagery and global reanalysis fields of this case and with earlier composite dropsonde results from other landfalling ARs. Also, a curtain of 12 offshore COSMIC soundings through the AR yielded cross-sectional thermodynamic and moisture structures that were similarly consistent, including details comparable to earlier aircraft-based dropsonde analyses. The results show that the new COSMIC retrievals, which are global (currently yielding ???2000 soundings per day), provide high-resolution vertical-profile information beyond that found in the numerical model first-guess fields and can help monitor key lower-tropospheric mesoscale phenomena in data-sparse regions. Hence, COSMIC will likely support a wide array of applications, from physical process studies to data assimilation, numerical weather prediction, and climate research. ?? 2008 American Meteorological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Monthly Weather Review","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1175/2008MWR2550.1","issn":"00270","usgsCitation":"Neiman, P., Ralph, F., Wick, G., Kuo, Y., Wee, T., Ma, Z., Taylor, G., and Dettinger, M.D., 2008, Diagnosis of an intense atmospheric river impacting the pacific northwest: Storm summary and offshore vertical structure observed with COSMIC satellite retrievals: Monthly Weather Review, v. 136, no. 11, p. 4398-4420, https://doi.org/10.1175/2008MWR2550.1.","startPage":"4398","endPage":"4420","numberOfPages":"23","costCenters":[],"links":[{"id":213825,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2008MWR2550.1"},{"id":241486,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"136","issue":"11","noUsgsAuthors":false,"publicationDate":"2008-11-01","publicationStatus":"PW","scienceBaseUri":"505a009ce4b0c8380cd4f80a","contributors":{"authors":[{"text":"Neiman, P.J.","contributorId":14991,"corporation":false,"usgs":true,"family":"Neiman","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":437108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralph, F.M.","contributorId":39174,"corporation":false,"usgs":true,"family":"Ralph","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":437111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wick, G.A.","contributorId":22958,"corporation":false,"usgs":true,"family":"Wick","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":437109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuo, Y.-H.","contributorId":104716,"corporation":false,"usgs":true,"family":"Kuo","given":"Y.-H.","email":"","affiliations":[],"preferred":false,"id":437115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wee, T.-K.","contributorId":49989,"corporation":false,"usgs":true,"family":"Wee","given":"T.-K.","email":"","affiliations":[],"preferred":false,"id":437112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ma, Z.","contributorId":25288,"corporation":false,"usgs":true,"family":"Ma","given":"Z.","email":"","affiliations":[],"preferred":false,"id":437110,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taylor, G.H.","contributorId":85158,"corporation":false,"usgs":true,"family":"Taylor","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":437113,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":437114,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70033582,"text":"70033582 - 2008 - Meteorological characteristics and overland precipitation impacts of atmospheric rivers affecting the West coast of North America based on eight years of SSM/I satellite observations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:32","indexId":"70033582","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Meteorological characteristics and overland precipitation impacts of atmospheric rivers affecting the West coast of North America based on eight years of SSM/I satellite observations","docAbstract":"The pre-cold-frontal low-level jet within oceanic extratropical cyclones represents the lower-tropospheric component of a deeper corridor of concentrated water vapor transport in the cyclone warm sector. These corridors are referred to as atmospheric rivers (ARs) because they are narrow relative to their length scale and are responsible for most of the poleward water vapor transport at midlatitudes. This paper investigates landfalling ARs along adjacent north- and south-coast regions of western North America. Special Sensor Microwave Imager (SSM/ I) satellite observations of long, narrow plumes of enhanced integrated water vapor (IWV) were used to detect ARs just offshore over the eastern Pacific from 1997 to 2005. The north coast experienced 301 AR days, while the south coast had only 115. Most ARs occurred during the warm season in the north and cool season in the south, despite the fact that the cool season is climatologically wettest for both regions. Composite SSM/I IWV analyses showed landfalling wintertime ARs extending northeastward from the tropical eastern Pacific, whereas the summertime composites were zonally oriented and, thus, did not originate from this region of the tropics. Companion SSM/I composites of daily rainfall showed significant orographic enhancement during the landfall of winter (but not summer) ARs. The NCEP-NCAR global reanalysis dataset and regional precipitation networks were used to assess composite synoptic characteristics and overland impacts of landfalling ARs. The ARs possess strong vertically integrated horizontal water vapor fluxes that, on average, impinge on the West Coast in the pre-cold-frontal environment in winter and post-cold-frontal environment in summer. Even though the IWV in the ARs is greater in summer, the vapor flux is stronger in winter due to much stronger flows associated with more intense storms. The landfall of ARs in winter and north-coast summer coincides with anomalous warmth, a trough offshore, and ridging over the Intermountain West, whereas the south-coast summer ARs coincide with relatively cold conditions and a near-coast trough. ARs have a much more profound impact on near-coast precipitation in winter than summer, because the terrain-normal vapor flux is stronger and the air more nearly saturated in winter. During winter, ARs produce roughly twice as much precipitation as all storms. In addition, wintertime ARs with the largest SSM/I IWV are tied to more intense storms with stronger flows and vapor fluxes, and more precipitation. ARs generally increase snow water equivalent (SWE) in autumn/winter and decrease SWE in spring. On average, wintertime SWE exhibits normal gains during north-coast AR storms and above-normal gains during the south-coast AR storms. The north-coast sites are mostly lower in altitude, where warmer-than-normal conditions more frequently yield rain. During those events when heavy rain from a warm AR storm falls on a preexisting snowpack, flooding is more likely to occur. ?? 2008 American Meteorological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrometeorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1175/2007JHM855.1","issn":"1525755X","usgsCitation":"Neiman, P., Ralph, F., Wick, G., Lundquist, J., and Dettinger, M.D., 2008, Meteorological characteristics and overland precipitation impacts of atmospheric rivers affecting the West coast of North America based on eight years of SSM/I satellite observations: Journal of Hydrometeorology, v. 9, no. 1, p. 22-47, https://doi.org/10.1175/2007JHM855.1.","startPage":"22","endPage":"47","numberOfPages":"26","costCenters":[],"links":[{"id":476748,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2007jhm855.1","text":"Publisher Index Page"},{"id":214430,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2007JHM855.1"},{"id":242155,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-02-01","publicationStatus":"PW","scienceBaseUri":"505a5519e4b0c8380cd6d11a","contributors":{"authors":[{"text":"Neiman, P.J.","contributorId":14991,"corporation":false,"usgs":true,"family":"Neiman","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":441529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralph, F.M.","contributorId":39174,"corporation":false,"usgs":true,"family":"Ralph","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":441531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wick, G.A.","contributorId":22958,"corporation":false,"usgs":true,"family":"Wick","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":441530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lundquist, J.D.","contributorId":93243,"corporation":false,"usgs":true,"family":"Lundquist","given":"J.D.","affiliations":[],"preferred":false,"id":441533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":441532,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033133,"text":"70033133 - 2008 - Extreme changes in stable hydrogen isotopes and precipitation characteristics in a landfalling Pacific storm","interactions":[],"lastModifiedDate":"2012-03-12T17:21:38","indexId":"70033133","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Extreme changes in stable hydrogen isotopes and precipitation characteristics in a landfalling Pacific storm","docAbstract":"With a new automated precipitation collector we measured a remarkable decrease of 51??? in the hydrogen isotope ratio (?? 2H) of precipitation over a 60-minute period during the landfall of an extratropical cyclone along the California coast on 21 March 2005. The rapid drop in ??2H occurred as precipitation generation transitioned from a shallow to a much deeper cloud layer, in accord with synoptic-scale ascent and deep \"seeder-feeder\" precipitation. Such unexpected ?? 2H variations can substantially impact widely used isotope-hydrograph methods. From extreme ??2H values of -26 and -78???, we calculate precipitation temperatures of 9.7 and -4.2??C using an adiabatic condensation isotope model, in good agreement with temperatures estimated from surface observations and radar data. This model indicates that 60 percent of the moisture was precipitated during ascent as temperature decreased from 15??C at the ocean surface to -4??C above the measurement site.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2008GL035481","issn":"00948","usgsCitation":"Coplen, T., Neiman, P., White, A., Landwehr, J., Ralph, F., and Dettinger, M.D., 2008, Extreme changes in stable hydrogen isotopes and precipitation characteristics in a landfalling Pacific storm: Geophysical Research Letters, v. 35, no. 21, https://doi.org/10.1029/2008GL035481.","costCenters":[],"links":[{"id":213336,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2008GL035481"},{"id":240951,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"21","noUsgsAuthors":false,"publicationDate":"2008-11-13","publicationStatus":"PW","scienceBaseUri":"505a0e66e4b0c8380cd53431","contributors":{"authors":[{"text":"Coplen, T.B.","contributorId":34147,"corporation":false,"usgs":true,"family":"Coplen","given":"T.B.","affiliations":[],"preferred":false,"id":439512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neiman, P.J.","contributorId":14991,"corporation":false,"usgs":true,"family":"Neiman","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":439511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, A.B.","contributorId":45878,"corporation":false,"usgs":true,"family":"White","given":"A.B.","email":"","affiliations":[],"preferred":false,"id":439515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landwehr, J.M.","contributorId":39815,"corporation":false,"usgs":true,"family":"Landwehr","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":439514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ralph, F.M.","contributorId":39174,"corporation":false,"usgs":true,"family":"Ralph","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":439513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":439516,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70009716,"text":"70009716 - 2008 - Dual-RiverSonde measurements of two-dimensional river flow patterns","interactions":[],"lastModifiedDate":"2018-06-01T13:34:40","indexId":"70009716","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Dual-RiverSonde measurements of two-dimensional river flow patterns","docAbstract":"Two-dimensional river flow patterns have been measured using a pair of RiverSondes in two experiments in the Sacramento-San Joaquin River Delta system of central California during April and October 2007. An experiment was conducted at Walnut Grove, California in order to explore the use of dual RiverSondes to measure flow patterns at a location which is important in the study of juvenile fish migration. The data available during the first experiment were limited by low wind, so a second experiment was conducted at Threemile Slough where wind conditions and surface turbulence historically have resulted in abundant data. Both experiments included ADCP near-surface velocity measurements from either manned or unmanned boats. Both experiments showed good comparisons between the RiverSonde and ADCP measurements. The flow conditions at both locations are dominated by tidal effects, with partial flow reversal at Walnut Grove and complete flow reversal at Threemile Slough. Both systems showed complex flow patterns during the flow reversals. Quantitative comparisons between the RiverSondes and an ADCP on a manned boat at Walnut Grove showed mean differences of 4.5 cm/s in the u (eastward) and 7.6 cm/s in the v (northward) components, and RMS differences of 14.7 cm/s in the u component and 21.0 cm/s in the v component. Quantitative comparisons between the RiverSondes and ADCPs on autonomous survey vessels at Threemile Slough showed mean differences of 0.007 cm/s in the u component and 0.5 cm/s in the v component, and RMS differences of 7.9 cm/s in the u component and 13.5 cm/s in the v component after obvious outliers were removed. ?? 2008 IEEE.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the IEEE Working Conference on Current Measurement Technology","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"IEEE/OES/CMTC 9th Working Conference on Current Measurement Technology","conferenceDate":"March 17-19, 2008","conferenceLocation":"Charleston, SC","language":"English","publisher":"IEEE","doi":"10.1109/CCM.2008.4480877","isbn":"1424414865; 9781424414864","usgsCitation":"Teague, C., Barrick, D., Lilleboe, P., Cheng, R.T., Stumpner, P., and Burau, J.R., 2008, Dual-RiverSonde measurements of two-dimensional river flow patterns, <i>in</i> Proceedings of the IEEE Working Conference on Current Measurement Technology, Charleston, SC, March 17-19, 2008, p. 258-263, https://doi.org/10.1109/CCM.2008.4480877.","productDescription":"6 p.","startPage":"258","endPage":"263","numberOfPages":"6","costCenters":[],"links":[{"id":219263,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204929,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/CCM.2008.4480877"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0407e4b0c8380cd5074f","contributors":{"authors":[{"text":"Teague, C.C.","contributorId":17758,"corporation":false,"usgs":true,"family":"Teague","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":356936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrick, D.E.","contributorId":86483,"corporation":false,"usgs":true,"family":"Barrick","given":"D.E.","email":"","affiliations":[],"preferred":false,"id":356940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lilleboe, P.M.","contributorId":25284,"corporation":false,"usgs":true,"family":"Lilleboe","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":356938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheng, Ralph T.","contributorId":69134,"corporation":false,"usgs":true,"family":"Cheng","given":"Ralph","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":356937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stumpner, Paul 0000-0002-0933-7895 pstump@usgs.gov","orcid":"https://orcid.org/0000-0002-0933-7895","contributorId":5667,"corporation":false,"usgs":true,"family":"Stumpner","given":"Paul","email":"pstump@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356939,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burau, Jon R. 0000-0002-5196-5035 jrburau@usgs.gov","orcid":"https://orcid.org/0000-0002-5196-5035","contributorId":1500,"corporation":false,"usgs":true,"family":"Burau","given":"Jon","email":"jrburau@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356935,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70009712,"text":"70009712 - 2008 - Agriculture-related trends in groundwater quality of the glacial deposits aquifer, central Wisconsin","interactions":[],"lastModifiedDate":"2012-03-12T17:18:24","indexId":"70009712","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Agriculture-related trends in groundwater quality of the glacial deposits aquifer, central Wisconsin","docAbstract":"Measuring and understanding trends in groundwater quality is necessary for determining whether changes in land-management practices have an effect on groundwater quality. This paper describes an approach that was used to measure and understand trends using data from two groundwater studies conducted in central Wisconsin as part of the USGS NAWQA program. One of the key components of this approach, determining the age of sampled groundwater, gave a temporal component to the snapshots of water quality that were obtained through synoptic-sampling efforts. This approach can be used at other locations where groundwater quality data are collected, groundwater age can be determined, and associated temporal data are available. Results of these studies indicate measured concentrations of nitrate and atrazine plus deethylatrazine were correlated to historical patterns of fertilizer and atrazine use. Concentrations of nitrate in groundwater have increased over time; concentrations of atrazine plus deethylatrazine increased and then decreased. Concentrations of nitrate also were correlated to screen depth below the water level and concentrations of dissolved O2; concentrations of atrazine plus deethylatrazine were correlated to dissolved O2 and annual precipitation. To measure trends in concentrations of atrazine plus deethylatrazine, the data, collected over a near-decadal period, were adjusted to account for changes in laboratory-reporting levels and analytical recoveries. Only after accounting for these changes was it apparent that the median concentrations of atrazine plus deethylatrazine decreased over the near-decadal interval between sampling efforts. Copyright ?? 2008 by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America. All rights reserved.","largerWorkTitle":"Journal of Environmental Quality","language":"English","doi":"10.2134/jeq2007.0053","issn":"00472425","usgsCitation":"Saad, D.A., 2008, Agriculture-related trends in groundwater quality of the glacial deposits aquifer, central Wisconsin, <i>in</i> Journal of Environmental Quality, v. 37, no. SUPPL. 5, https://doi.org/10.2134/jeq2007.0053.","costCenters":[],"links":[{"id":204925,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2007.0053"},{"id":219179,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"SUPPL. 5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e915e4b0c8380cd480ae","contributors":{"authors":[{"text":"Saad, D. A.","contributorId":85212,"corporation":false,"usgs":true,"family":"Saad","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":356926,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70009709,"text":"70009709 - 2008 - Using open hole and cased-hole resistivity logs to monitor gas hydrate dissociation during a thermal test in the mallik 5L-38 research well, Mackenzie Delta, Canada","interactions":[],"lastModifiedDate":"2012-03-12T17:18:24","indexId":"70009709","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using open hole and cased-hole resistivity logs to monitor gas hydrate dissociation during a thermal test in the mallik 5L-38 research well, Mackenzie Delta, Canada","docAbstract":"Gas hydrates, which are naturally occurring ice-like combinations of gas and water, have the potential to provide vast amounts of natural gas from the world's oceans and polar regions. However, producing gas economically from hydrates entails major technical challenges. Proposed recovery methods such as dissociating or melting gas hydrates by heating or depressurization are currently being tested. One such test was conducted in northern Canada by the partners in the Mallik 2002 Gas Hydrate Production Research Well Program. This paper describes how resistivity logs were used to determine the size of the annular region of gas hydrate dissociation that occurred around the wellbore during the thermal test in the Mallik 5L-38 well. An open-hole logging suite, run prior to the thermal test, included array induction, array laterolog, nuclear magnetic resonance and 1.1-GHz electromagnetic propagation logs. The reservoir saturation tool was run both before and after the thermal test to monitor formation changes. A cased-hole formation resistivity log was run after the test.Baseline resistivity values in each formation layer (Rt) were established from the deep laterolog data. The resistivity in the region of gas hydrate dissociation near the wellbore (Rxo) was determined from electromagnetic propagation and reservoir saturation tool measurements. The radius of hydrate dissociation as a function of depth was then determined by means of iterative forward modeling of cased-hole formation resistivity tool response. The solution was obtained by varying the modeled dissociation radius until the modeled log overlaid the field log. Pretest gas hydrate production computer simulations had predicted that dissociation would take place at a uniform radius over the 13-ft test interval. However, the post-test resistivity modeling showed that this was not the case. The resistivity-derived dissociation radius was greatest near the outlet of the pipe that circulated hot water in the wellbore, where the highest temperatures were recorded. The radius was smallest near the center of the test interval, where a conglomerate section with low values of porosity and permeability inhibited dissociation. The free gas volume calculated from the resistivity-derived dissociation radii yielded a value within 20 per cent of surface gauge measurements. These results show that the inversion of resistivity measurements holds promise for use in future gas hydrate monitoring. ?? 2008 Society of Petrophysicists and Well Log Analysts. All rights reserved.","largerWorkTitle":"Petrophysics","language":"English","issn":"15299074","usgsCitation":"Anderson, B., Collett, T.S., Lewis, R., and Dubourg, I., 2008, Using open hole and cased-hole resistivity logs to monitor gas hydrate dissociation during a thermal test in the mallik 5L-38 research well, Mackenzie Delta, Canada, <i>in</i> Petrophysics, v. 49, no. 3, p. 285-294.","startPage":"285","endPage":"294","numberOfPages":"10","costCenters":[],"links":[{"id":219103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc08ae4b08c986b32a1a9","contributors":{"authors":[{"text":"Anderson, B.I.","contributorId":41133,"corporation":false,"usgs":true,"family":"Anderson","given":"B.I.","email":"","affiliations":[],"preferred":false,"id":356903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, T. S. 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":86342,"corporation":false,"usgs":true,"family":"Collett","given":"T.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":356904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, R.E.","contributorId":31735,"corporation":false,"usgs":true,"family":"Lewis","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":356902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubourg, I.","contributorId":101000,"corporation":false,"usgs":true,"family":"Dubourg","given":"I.","email":"","affiliations":[],"preferred":false,"id":356905,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70009717,"text":"70009717 - 2008 - Regional nitrate and pesticide trends in ground water in the eastern San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2018-09-13T14:31:08","indexId":"70009717","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Regional nitrate and pesticide trends in ground water in the eastern San Joaquin Valley, California","docAbstract":"Protection of ground water for present and future use requires monitoring and understanding of the mechanisms controlling long-term quality of ground water. In this study, spatial and temporal trends in concentrations of nitrate and pesticides in ground water in the eastern San Joaquin Valley, California, were evaluated to determine the long-term effects of agricultural and urban development on regional ground-water quality. Trends in concentrations of nitrate, the nematocide 1,2-dibromo-3-chloropropane, and the herbicide simazine during the last two decades are generally consistent with known nitrogen fertilizer and pesticide use and with the position of the well networks in the regional ground-water flow system. Concentrations of nitrate and pesticides are higher in the shallow part of the aquifer system where domestic wells are typically screened, whereas concentrations are lower in the deep part of the aquifer system where public-supply wells are typically screened. Attenuation processes do not seem to significantly affect concentrations. Historical data indicate that concentrations of nitrate have increased since the 1950s in the shallow and deep parts of the aquifer system. Concentrations of nitrate and detection of pesticides in the deep part of the aquifer system will likely increase as the proportion of highly affected water contributed to these wells increases with time. Because of the time of travel between the water table and the deep part of the aquifer system, current concentrations in public-supply wells likely reflect the effects of 40- to 50-yr-old management practices. Copyright ?? 2008 by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America. All rights reserved.","largerWorkTitle":"Journal of Environmental Quality","language":"English","doi":"10.2134/jeq2007.0061","issn":"00472425","usgsCitation":"Burow, K., Shelton, J.L., and Dubrovsky, N., 2008, Regional nitrate and pesticide trends in ground water in the eastern San Joaquin Valley, California, <i>in</i> Journal of Environmental Quality, v. 37, no. SUPPL. 5, https://doi.org/10.2134/jeq2007.0061.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":219325,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204935,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2007.0061"}],"volume":"37","issue":"SUPPL. 5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a53de4b0e8fec6cdbdac","contributors":{"authors":[{"text":"Burow, K.R. 0000-0001-6006-6667","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":48283,"corporation":false,"usgs":true,"family":"Burow","given":"K.R.","affiliations":[],"preferred":false,"id":356942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelton, James L.","contributorId":85319,"corporation":false,"usgs":false,"family":"Shelton","given":"James","email":"","middleInitial":"L.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":356943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubrovsky, N. M.","contributorId":48199,"corporation":false,"usgs":true,"family":"Dubrovsky","given":"N. M.","affiliations":[],"preferred":false,"id":356941,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70009718,"text":"70009718 - 2008 - Measuring gravity currents in the Chicago River, Chicago, Illinois","interactions":[],"lastModifiedDate":"2021-10-28T10:42:37.005014","indexId":"70009718","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Measuring gravity currents in the Chicago River, Chicago, Illinois","docAbstract":"Recent studies of the Chicago River have determined that gravity currents are responsible for persistent bidirectional flows that have been observed in the river. A gravity current is the flow of one fluid within another caused by a density difference between the fluids. These studies demonstrated how acoustic Doppler current profilers (ADCP) can be used to detect and characterize gravity currents in the field. In order to better understand the formation and evolution of these gravity currents, the U.S. Geological Survey (USGS) has installed ADCPs and other instruments to continuously measure gravity currents in the Chicago River and the North Branch Chicago River. These instruments include stage sensors, thermistor strings, and both upward-looking and horizontal ADCPs. Data loggers and computers installed at gaging stations along the river are used to collect data from these instruments and transmit them to USGS offices. ?? 2008 IEEE.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the IEEE working conference on current measurement technology","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"IEEE/OES/CMTC 9th Working Conference on Current Measurement Technology","conferenceDate":"March 17-19, 2008","conferenceLocation":"Charleston, SC","language":"English","doi":"10.1109/CCM.2008.4480878","isbn":"1424414865; 9781424414864","usgsCitation":"Oberg, K.A., Czuba, J.A., and Johnson, K., 2008, Measuring gravity currents in the Chicago River, Chicago, Illinois, <i>in</i> Proceedings of the IEEE working conference on current measurement technology, Charleston, SC, March 17-19, 2008, p. 264-269, https://doi.org/10.1109/CCM.2008.4480878.","productDescription":"6 p.","startPage":"264","endPage":"269","numberOfPages":"6","ipdsId":"IP-004887","costCenters":[],"links":[{"id":219326,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"Chicago River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.24218749999999,\n              41.261291493919884\n            ],\n            [\n              -87.6763916015625,\n              41.261291493919884\n            ],\n            [\n              -87.6763916015625,\n              41.94314874732696\n            ],\n            [\n              -88.24218749999999,\n              41.94314874732696\n            ],\n            [\n              -88.24218749999999,\n              41.261291493919884\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5349e4b0c8380cd6c997","contributors":{"authors":[{"text":"Oberg, K. A.","contributorId":67553,"corporation":false,"usgs":true,"family":"Oberg","given":"K.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":356944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Czuba, J. A.","contributorId":98036,"corporation":false,"usgs":true,"family":"Czuba","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":356946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, K. K.","contributorId":70871,"corporation":false,"usgs":true,"family":"Johnson","given":"K. K.","affiliations":[],"preferred":false,"id":356945,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}