{"pageNumber":"574","pageRowStart":"14325","pageSize":"25","recordCount":46688,"records":[{"id":70040669,"text":"70040669 - 2013 - At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull","interactions":[],"lastModifiedDate":"2013-06-10T11:13:09","indexId":"70040669","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull","docAbstract":"Strong and predictable environmental variability can reward flexible behaviors among animals. We used long-term records of activity data that cover several lunar cycles to investigate whether behavior at-sea of swallow-tailed gulls Creagrus furcatus, a nocturnal pelagic seabird, varied with lunar phase in the Galápagos Islands. A Bayesian hierarchical model showed that nighttime at-sea activity of 37 breeding swallow-tailed gulls was clearly associated with changes in moon phase. Proportion of nighttime spent on water was highest during darker periods of the lunar cycle, coinciding with the cycle of the diel vertical migration (DVM) that brings prey to the sea surface at night. Our data show that at-sea behavior of a tropical seabird can vary with environmental changes, including lunar phase.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0056889","usgsCitation":"Cruz, S.M., Hooten, M., Huyvaert, K., Proano, C.B., Anderson, D.J., Afanasyev, V., and Wikelski, M., 2013, At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull: PLoS ONE, v. 8, no. 2, e56889, https://doi.org/10.1371/journal.pone.0056889.","productDescription":"e56889","ipdsId":"IP-037822","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0056889","text":"Publisher Index Page"},{"id":273495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273493,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0056889"}],"otherGeospatial":"Gal�pagos Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.01,-1.41 ], [ -92.01,1.66 ], [ -89.24,1.66 ], [ -89.24,-1.41 ], [ -92.01,-1.41 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-26","publicationStatus":"PW","scienceBaseUri":"51b6e758e4b0097a7158ab3d","contributors":{"authors":[{"text":"Cruz, Sebastian M.","contributorId":56136,"corporation":false,"usgs":true,"family":"Cruz","given":"Sebastian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin","contributorId":18254,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","affiliations":[],"preferred":false,"id":468755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huyvaert, Kathryn P.","contributorId":73906,"corporation":false,"usgs":true,"family":"Huyvaert","given":"Kathryn P.","affiliations":[],"preferred":false,"id":468758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Proano, Carolina B.","contributorId":94195,"corporation":false,"usgs":true,"family":"Proano","given":"Carolina","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":468760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, David J.","contributorId":15099,"corporation":false,"usgs":true,"family":"Anderson","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":468754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Afanasyev, Vsevolod","contributorId":18661,"corporation":false,"usgs":true,"family":"Afanasyev","given":"Vsevolod","email":"","affiliations":[],"preferred":false,"id":468756,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":468759,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046333,"text":"70046333 - 2013 - Inferential consequences of modeling rather than measuring snow accumulation in studies of animal ecology","interactions":[],"lastModifiedDate":"2017-09-12T11:53:47","indexId":"70046333","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Inferential consequences of modeling rather than measuring snow accumulation in studies of animal ecology","docAbstract":"Abstract. It is increasingly common for studies of animal ecology to use model-based predictions of environmental variables as explanatory or predictor variables, even though model prediction uncertainty is typically unknown. To demonstrate the potential for misleading inferences when model predictions with error are used in place of direct measurements, we compared snow water equivalent (SWE) and snow depth as predicted by the Snow Data Assimilation System (SNODAS) to field measurements of SWE and snow depth. We examined locations on elk (Cervus canadensis) winter ranges in western Wyoming, because modeled data such as SNODAS output are often used for inferences on elk ecology. Overall, SNODAS predictions tended to overestimate field measurements, prediction uncertainty was high, and the difference between SNODAS predictions and field measurements was greater in snow shadows for both snow variables compared to non-snow shadow areas. We used a simple simulation of snow effects on the probability of an elk being killed by a predator to show that, if SNODAS prediction uncertainty was ignored, we might have mistakenly concluded that SWE was not an important factor in where elk were killed in predatory attacks during the winter. In this simulation, we were interested in the effects of snow at finer scales (<1 km<sup>2</sup>) than the resolution of SNODAS. If bias were to decrease when SNODAS predictions are averaged over coarser scales, SNODAS would be applicable to population-level ecology studies. In our study, however, averaging predictions over moderate to broad spatial scales (9–2200 km<sup>2</sup>) did not reduce the differences between SNODAS predictions and field measurements. This study highlights the need to carefully evaluate two issues when using model output as an explanatory variable in subsequent analysis: (1) the model’s resolution relative to the scale of the ecological question of interest and (2) the implications of prediction uncertainty on inferences when using model predictions as explanatory or predictor variables.","language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-0959.1","usgsCitation":"Cross, P.C., Klaver, R.W., Brennan, A., Creel, S., Beckmann, J., Higgs, M., and Scurlock, B.M., 2013, Inferential consequences of modeling rather than measuring snow accumulation in studies of animal ecology: Ecological Applications, v. 23, no. 3, p. 643-653, https://doi.org/10.1890/12-0959.1.","productDescription":"11 p.","startPage":"643","endPage":"653","numberOfPages":"11","additionalOnlineFiles":"N","ipdsId":"IP-032991","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473759,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/212","text":"External Repository"},{"id":273468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273467,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0959.1"}],"country":"United States","state":"Wyoming","volume":"23","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e75be4b0097a7158ab55","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":479478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":479473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brennan, Angela","contributorId":40871,"corporation":false,"usgs":true,"family":"Brennan","given":"Angela","affiliations":[],"preferred":false,"id":479476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Creel, Scott","contributorId":15089,"corporation":false,"usgs":true,"family":"Creel","given":"Scott","affiliations":[],"preferred":false,"id":479475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beckmann, Jon P.","contributorId":73098,"corporation":false,"usgs":true,"family":"Beckmann","given":"Jon P.","affiliations":[],"preferred":false,"id":479477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Higgs, Megan D.","contributorId":14718,"corporation":false,"usgs":true,"family":"Higgs","given":"Megan D.","affiliations":[],"preferred":false,"id":479474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":479479,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70043855,"text":"70043855 - 2013 - Aggregation of carbon dioxide sequestration storage assessment units","interactions":[],"lastModifiedDate":"2013-10-23T14:46:39","indexId":"70043855","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3478,"text":"Stochastic Environmental Research and Risk Assessment","active":true,"publicationSubtype":{"id":10}},"title":"Aggregation of carbon dioxide sequestration storage assessment units","docAbstract":"The U.S. Geological Survey is currently conducting a national assessment of carbon dioxide (CO<sub>2</sub>) storage resources, mandated by the Energy Independence and Security Act of 2007. Pre-emission capture and storage of CO<sub>2</sub> in subsurface saline formations is one potential method to reduce greenhouse gas emissions and the negative impact of global climate change. Like many large-scale resource assessments, the area under investigation is split into smaller, more manageable storage assessment units (SAUs), which must be aggregated with correctly propagated uncertainty to the basin, regional, and national scales. The aggregation methodology requires two types of data: marginal probability distributions of storage resource for each SAU, and a correlation matrix obtained by expert elicitation describing interdependencies between pairs of SAUs. Dependencies arise because geologic analogs, assessment methods, and assessors often overlap. The correlation matrix is used to induce rank correlation, using a Cholesky decomposition, among the empirical marginal distributions representing individually assessed SAUs. This manuscript presents a probabilistic aggregation method tailored to the correlations and dependencies inherent to a CO<sub>2</sub> storage assessment. Aggregation results must be presented at the basin, regional, and national scales. A single stage approach, in which one large correlation matrix is defined and subsets are used for different scales, is compared to a multiple stage approach, in which new correlation matrices are created to aggregate intermediate results. Although the single-stage approach requires determination of significantly more correlation coefficients, it captures geologic dependencies among similar units in different basins and it is less sensitive to fluctuations in low correlation coefficients than the multiple stage approach. Thus, subsets of one single-stage correlation matrix are used to aggregate to basin, regional, and national scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Stochastic Environmental Research and Risk Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00477-013-0718-x","usgsCitation":"Blondes, M., Schuenemeyer, J.H., Olea, R., and Drew, L.J., 2013, Aggregation of carbon dioxide sequestration storage assessment units: Stochastic Environmental Research and Risk Assessment, v. 27, no. 8, p. 1839-1859, https://doi.org/10.1007/s00477-013-0718-x.","productDescription":"21 p.","startPage":"1839","endPage":"1859","ipdsId":"IP-037774","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273548,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00477-013-0718-x"}],"volume":"27","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-05-18","publicationStatus":"PW","scienceBaseUri":"51b6e758e4b0097a7158ab39","contributors":{"authors":[{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":474316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuenemeyer, John H.","contributorId":54227,"corporation":false,"usgs":true,"family":"Schuenemeyer","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":474318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":474317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drew, Lawrence J. ldrew@usgs.gov","contributorId":2635,"corporation":false,"usgs":true,"family":"Drew","given":"Lawrence","email":"ldrew@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":474315,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045538,"text":"70045538 - 2013 - Age-specific survival of tundra swans on the lower Alaska Peninsula","interactions":[],"lastModifiedDate":"2018-06-20T20:24:17","indexId":"70045538","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Age-specific survival of tundra swans on the lower Alaska Peninsula","docAbstract":"The population of Tundra Swans (Cygnus columbianus columbianus) breeding on the lower Alaska Peninsula represents the southern extremity of the species' range and is uniquely nonmigratory. We used data on recaptures, resightings, and recoveries of neck-collared Tundra Swans on the lower Alaska Peninsula to estimate collar loss, annual apparent survival, and other demographic parameters for the years 1978–1989. Annual collar loss was greater for adult males fitted with either the thinner collar type (0.34) or the thicker collar type (0.15) than for other age/sex classes (thinner: 0.10, thicker: 0.04). The apparent mean probability of survival of adults (0.61) was higher than that of immatures (0.41) and for both age classes varied considerably by year (adult range: 0.44–0.95, immature range: 0.25–0.90). To assess effects of permanent emigration by age and breeding class, we analyzed post hoc the encounter histories of swans known to breed in our study area. The apparent mean survival of known breeders (0.65) was generally higher than that of the entire marked sample but still varied considerably by year (range 0.26–1.00) and indicated that permanent emigration of breeding swans was likely. We suggest that reductions in apparent survival probability were influenced primarily by high and variable rates of permanent emigration and that immigration by swans from elsewhere may be important in sustaining a breeding population at and near Izembek National Wildlife Refuge.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of California Press","doi":"10.1525/cond.2013.110213","usgsCitation":"Meixell, B.W., Lindberg, M.S., Conn, P.B., Dau, C.P., Sarvis, J.E., and Sowl, K.M., 2013, Age-specific survival of tundra swans on the lower Alaska Peninsula: The Condor, v. 115, no. 2, p. 280-289, https://doi.org/10.1525/cond.2013.110213.","productDescription":"10 p.","startPage":"280","endPage":"289","ipdsId":"IP-041285","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473760,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2013.110213","text":"Publisher Index Page"},{"id":273547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273545,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2013.110213"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"115","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e757e4b0097a7158ab35","contributors":{"authors":[{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindberg, Mark S.","contributorId":63292,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":477798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conn, Paul B.","contributorId":87440,"corporation":false,"usgs":true,"family":"Conn","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":477800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dau, Christian P.","contributorId":26185,"corporation":false,"usgs":true,"family":"Dau","given":"Christian","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":477796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sarvis, John E.","contributorId":66576,"corporation":false,"usgs":true,"family":"Sarvis","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":477799,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sowl, Kristine M.","contributorId":60372,"corporation":false,"usgs":false,"family":"Sowl","given":"Kristine","email":"","middleInitial":"M.","affiliations":[{"id":12598,"text":"Izembek National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":477797,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046339,"text":"sir20135013 - 2013 - A national streamflow network gap analysis","interactions":[],"lastModifiedDate":"2013-06-10T09:29:21","indexId":"sir20135013","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5013","title":"A national streamflow network gap analysis","docAbstract":"The U.S. Geological Survey (USGS) conducted a gap analysis to evaluate how well the USGS streamgage network meets a variety of needs, focusing on the ability to calculate various statistics at locations that have streamgages (gaged) and that do not have streamgages (ungaged). This report presents the results of analysis to determine where there are gaps in the network of gaged locations, how accurately desired statistics can be calculated with a given length of record, and whether the current network allows for estimation of these statistics at ungaged locations.  The analysis indicated that there is variability across the Nation’s streamflow data-collection network in terms of the spatial and temporal coverage of streamgages. In general, the Eastern United States has better coverage than the Western United States. The arid Southwestern United States, Alaska, and Hawaii were observed to have the poorest spatial coverage, using the dataset assembled for this study. Except in Hawaii, these areas also tended to have short streamflow records. Differences in hydrology lead to differences in the uncertainty of statistics calculated in different regions of the country. Arid and semiarid areas of the Central and Southwestern United States generally exhibited the highest levels of interannual variability in flow, leading to larger uncertainty in flow statistics.  At ungaged locations, information can be transferred from nearby streamgages if there is sufficient similarity between the gaged watersheds and the ungaged watersheds of interest. Areas where streamgages exhibit high correlation are most likely to be suitable for this type of information transfer. The areas with the most highly correlated streamgages appear to coincide with mountainous areas of the United States. Lower correlations are found in the Central United States and coastal areas of the Southeastern United States. Information transfer from gaged basins to ungaged basins is also most likely to be successful when basin attributes show high similarity. At the scale of the analysis completed in this study, the attributes of basins upstream of USGS streamgages cover the full range of basin attributes observed at potential locations of interest fairly well. Some exceptions included very high or very low elevation areas and very arid areas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135013","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Kiang, J.E., Stewart, D.W., Archfield, S.A., Osborne, E.B., and Eng, K., 2013, A national streamflow network gap analysis: U.S. Geological Survey Scientific Investigations Report 2013-5013, Report: ix, 82 p.; 1 Appendix, https://doi.org/10.3133/sir20135013.","productDescription":"Report: ix, 82 p.; 1 Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":273473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135013.gif"},{"id":273471,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5013/sir2013-5013_app1_final.xlsx"},{"id":273469,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5013/pdf/sir2013-5013.pdf"},{"id":273470,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5013/"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.61,13.23 ], [ 144.61,71.83 ], [ -65.22,71.83 ], [ -65.22,13.23 ], [ 144.61,13.23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e750e4b0097a7158ab2d","contributors":{"authors":[{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":479505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, David W. dwstewar@usgs.gov","contributorId":2390,"corporation":false,"usgs":true,"family":"Stewart","given":"David","email":"dwstewar@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":479506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":479504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osborne, Emily B.","contributorId":101971,"corporation":false,"usgs":true,"family":"Osborne","given":"Emily","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":479508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eng, Ken","contributorId":89480,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","affiliations":[],"preferred":false,"id":479507,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046357,"text":"sim2999 - 2013 - Reconnaissance geologic map of Kodiak Island and adjacent islands, Alaska","interactions":[],"lastModifiedDate":"2017-06-07T16:20:26","indexId":"sim2999","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2999","title":"Reconnaissance geologic map of Kodiak Island and adjacent islands, Alaska","docAbstract":"Kodiak Island and its adjacent islands, located on the west side of the Gulf of Alaska, contain one of the largest areas of exposure of the flysch and melange of the Chugach terrane of southern Alaska. However, in the past 25 years, only detailed mapping covering small areas in the archipelago has been done. This map and its associated digital files (Wilson and others, 2005) present the best available mapping compiled in an integrated fashion. The map and associated digital files represent part of a systematic effort to release geologic map data for the United States in a uniform manner. The geologic data have been compiled from a wide variety of sources, ranging from state and regional geologic maps to large-scale field mapping. The map data are presented for use at a nominal scale of 1:500,000, although individual datasets (see Wilson and others, 2005) may contain data suitable for use at larger scales.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim2999","usgsCitation":"Wilson, F.H., 2013, Reconnaissance geologic map of Kodiak Island and adjacent islands, Alaska: U.S. Geological Survey Scientific Investigations Map 2999, Pamphlet: ii, 8 p.; 1 Map: 24.66 x 31.32 inches; OFR 2005-1340, https://doi.org/10.3133/sim2999.","productDescription":"Pamphlet: ii, 8 p.; 1 Map: 24.66 x 31.32 inches; OFR 2005-1340","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":273529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim2999.gif"},{"id":273527,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/2999/sim2999_map.pdf"},{"id":273526,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2999/sim2999_pamphlet.pdf"},{"id":273528,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2005/1340/"},{"id":273525,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2999/"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.015277777777777777,5.085277777777778 ], [ -0.015277777777777777,0.001388888888888889 ], [ -152.5,0.001388888888888889 ], [ -152.5,5.085277777777778 ], [ -0.015277777777777777,5.085277777777778 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e75be4b0097a7158ab59","contributors":{"authors":[{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","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":479546,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046359,"text":"ds771 - 2013 - Database for the Geologic Map of Newberry Volcano, Deschutes, Klamath, and Lake Counties, Oregon","interactions":[],"lastModifiedDate":"2019-03-26T08:54:34","indexId":"ds771","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"771","title":"Database for the Geologic Map of Newberry Volcano, Deschutes, Klamath, and Lake Counties, Oregon","docAbstract":"Newberry Volcano, one of the largest Quaternary volcanoes in the conterminous United States, is a broad shield-shaped volcano measuring 60 km north-south by 30 km east-west with a maximum elevation of more than 2 km. Newberry Volcano is the product of deposits from thousands of eruptions, including at least 25 in the past approximately 12,000 years (Holocene Epoch). Newberry Volcano has erupted as recently as 1,300 years ago, but isotopic ages indicate that the volcano began its growth as early as 0.6 million years ago. Such a long eruptive history and recent activity suggest that Newberry Volcano is likely to erupt in the future. This geologic map database of Newberry Volcano distinguishes rocks and deposits based on their composition, age, and lithology.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds771","collaboration":"Database for Miscellaneous Investigations Series Map I-2455","usgsCitation":"Bard, J.A., Ramsey, D.W., MacLeod, N.S., Sherrod, D.R., Chitwood, L.A., and Jensen, R.A., 2013, Database for the Geologic Map of Newberry Volcano, Deschutes, Klamath, and Lake Counties, Oregon: U.S. Geological Survey Data Series 771, HTML Document, Database, https://doi.org/10.3133/ds771.","productDescription":"HTML Document, Database","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":273533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds771.png"},{"id":273532,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/ds/771/database/index.html"},{"id":273531,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/771/"}],"country":"United States","state":"Oregon","county":"Deschutes County, Klamath County, Lake County","otherGeospatial":"Newberry Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,43.5 ], [ -121.5,44.0 ], [ -121.0,44.0 ], [ -121.0,43.5 ], [ -121.5,43.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e759e4b0097a7158ab45","contributors":{"authors":[{"text":"Bard, Joseph A. 0000-0003-3143-4007 jbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3143-4007","contributorId":5590,"corporation":false,"usgs":true,"family":"Bard","given":"Joseph","email":"jbard@usgs.gov","middleInitial":"A.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":479549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramsey, David W. 0000-0003-1698-2523 dramsey@usgs.gov","orcid":"https://orcid.org/0000-0003-1698-2523","contributorId":3819,"corporation":false,"usgs":true,"family":"Ramsey","given":"David","email":"dramsey@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":479548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacLeod, Norman S.","contributorId":13643,"corporation":false,"usgs":true,"family":"MacLeod","given":"Norman","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":479550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":479547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chitwood, Lawrence A.","contributorId":54655,"corporation":false,"usgs":true,"family":"Chitwood","given":"Lawrence","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479552,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jensen, Robert A.","contributorId":35469,"corporation":false,"usgs":false,"family":"Jensen","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":479551,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038720,"text":"70038720 - 2013 - One hundred and six years of population and community dynamics of Sonoran Desert Laboratory perennials","interactions":[],"lastModifiedDate":"2013-06-07T10:10:20","indexId":"70038720","displayToPublicDate":"2013-06-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1451,"text":"Ecological Archives","active":true,"publicationSubtype":{"id":10}},"title":"One hundred and six years of population and community dynamics of Sonoran Desert Laboratory perennials","docAbstract":"This data set constitutes all information associated with the Spalding-Shreve permanent vegetation plots from 1906 through 2012, which is the longest-running plant monitoring program in the world. The program consists of detailed maps of all Sonoran Desert perennial plants in 30 permanent plots located on Tumamoc Hill, near Tucson, Arizona, USA. Most of these plots are 10 m × 10 m quadrats that were established by Volney Spalding and Forrest Shreve between 1906 and 1928. Analyses derived from these data have been pivotal in testing early theories on plant community succession, plant life history traits, plant longevity, and population dynamics. One of the major contributions of this data set is the species-specific demographic traits that derived from estimating individual plant trajectories for more than 106 years. Further use of these data might shed light on spatially explicit population and community dynamics, as well as long-term changes attributable to global change.\n\nData presented here consist of digital versions of original maps created between 1906 and 1984 and digital data from recent censuses between 1993 and 2012. Attributes associated with these maps include location and coverage of all shrubs, and in some cases, plant height. In addition, we present plot-specific summaries of plant cover and density for each census year and all other information collected, including seedling counts, grass coverage, and annual species enumerations. We reference the repeat photography of these plots, which began in 1906; these images are stored at the Desert Laboratory Collection of Repeat Photography in Tucson. Initial data collection consisted of grid-mapping the plots manually on graph paper; starting in 1993, Total Stations (which allow a direct digitalization, and more accurate mapping) were used to survey root crowns and canopies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Archives","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","doi":"10.1890/12-1164.1","usgsCitation":"Rodriguez-Buritica, S., Raichle, H., Webb, R., Turner, R., and Venable, L., 2013, One hundred and six years of population and community dynamics of Sonoran Desert Laboratory perennials: Ecological Archives, v. 94, no. 4, p. 976-976, https://doi.org/10.1890/12-1164.1.","productDescription":"1 p.","startPage":"976","endPage":"976","ipdsId":"IP-038596","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":273435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273434,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-1164.1"}],"volume":"94","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b2f2dbe4b01368e589e3c2","contributors":{"authors":[{"text":"Rodriguez-Buritica, Susana","contributorId":29723,"corporation":false,"usgs":true,"family":"Rodriguez-Buritica","given":"Susana","affiliations":[],"preferred":false,"id":464788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raichle, Helen hraichle@usgs.gov","contributorId":4387,"corporation":false,"usgs":true,"family":"Raichle","given":"Helen","email":"hraichle@usgs.gov","affiliations":[],"preferred":true,"id":464786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":464785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Raymond M.","contributorId":7383,"corporation":false,"usgs":true,"family":"Turner","given":"Raymond M.","affiliations":[],"preferred":false,"id":464787,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Venable, Larry","contributorId":71861,"corporation":false,"usgs":true,"family":"Venable","given":"Larry","affiliations":[],"preferred":false,"id":464789,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046309,"text":"sir20135025 - 2013 - Hydrogeology of the West Branch Delaware River basin, Delaware County, New York","interactions":[],"lastModifiedDate":"2013-06-06T11:23:48","indexId":"sir20135025","displayToPublicDate":"2013-06-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5025","title":"Hydrogeology of the West Branch Delaware River basin, Delaware County, New York","docAbstract":"In 2009, the U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, began a study of the hydrogeology of the West Branch Delaware River (Cannonsville Reservoir) watershed. There has been recent interest by energy companies in developing the natural gas reserves that are trapped within the Marcellus Shale, which is part of the Hamilton Group of Devonian age that underlies all the West Branch Delaware River Basin. Knowing the extent and thickness of stratified-drift (sand and gravel) aquifers within this basin can help State and Federal regulatory agencies evaluate any effects on these aquifers that gas-well drilling might produce. This report describes the hydrogeology of the 455-square-mile basin in the southwestern Catskill Mountain region of southeastern New York and includes a detailed surficial geologic map of the basin. Analysis of surficial geologic data indicates that the most widespread surficial geologic unit within the basin is till, which is present as deposits of ablation till in major stream valleys and as thick deposits of lodgment till that fill upland basins. Till and colluvium (remobilized till) cover about 89 percent of the West Branch Delaware River Basin, whereas stratified drift (outwash and ice-contact deposits) and alluvium account for 8.9 percent. The Cannonsville Reservoir occupies about 1.9 percent of the basin area. Large areas of outwash and ice-contact deposits occupy the West Branch Delaware River valley along its entire length. These deposits form a stratified-drift aquifer that ranges in thickness from 40 to 50 feet (ft) in the upper West Branch Delaware River valley, from 70 to 140 ft in the middle West Branch Delaware River valley, and from 60 to 70 ft in the lower West Branch Delaware River valley. The gas-bearing Marcellus Shale underlies the entire West Branch Delaware River Basin and ranges in thickness from 600 to 650 ft along the northern divide of the basin to 750 ft thick along the southern divide. The depth to the top of the Marcellus Shale ranges from 3,240 ft along the northern basin divide to 4,150 ft along the southern basin divide. Yields of wells completed in the aquifer are as high as 500 gallons per minute (gal/min). Springs from fractured sandstone bedrock are an important source of domestic and small municipal water supplies in the West Branch Delaware River Basin and elsewhere in Delaware County. The average yield of 178 springs in Delaware County is 8.5 gal/min with a median yield of 3 gal/min. An analysis of two low-flow statistics indicates that groundwater contributions from fractured bedrock compose a significant part of the base flow of the West Branch Delaware River and its tributaries.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135025","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Reynolds, R.J., 2013, Hydrogeology of the West Branch Delaware River basin, Delaware County, New York: U.S. Geological Survey Scientific Investigations Report 2013-5025, Report: vi, 28 p.; 1 Map: 42 x 36 inches, https://doi.org/10.3133/sir20135025.","productDescription":"Report: vi, 28 p.; 1 Map: 42 x 36 inches","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":273375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135025.gif"},{"id":273374,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5025/pdf/Well_Locations_sheet.pdf"},{"id":273372,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5025/"},{"id":273373,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5025/pdf/sir2013-5025_reynolds_508.pdf"}],"scale":"100000","country":"United States","state":"New York","county":"Delaware","otherGeospatial":"West Branch Delaware River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.30,42 ], [ -75.30,42.30 ], [ -74.30,42.30 ], [ -74.30,42 ], [ -75.30,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b1a16fe4b022a6a540f994","contributors":{"authors":[{"text":"Reynolds, Richard J. 0000-0001-5032-6613 rjreynol@usgs.gov","orcid":"https://orcid.org/0000-0001-5032-6613","contributorId":1082,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rjreynol@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479435,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043161,"text":"70043161 - 2013 - In situ quantification of Br and Cl in minerals and fluid inclusions by LA-ICP-MS: a powerful tool to identify fluid sources","interactions":[],"lastModifiedDate":"2013-06-06T14:31:36","indexId":"70043161","displayToPublicDate":"2013-06-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"In situ quantification of Br and Cl in minerals and fluid inclusions by LA-ICP-MS: a powerful tool to identify fluid sources","docAbstract":"Bromine and chlorine are important halogens for fluid source identification in the Earth's crust, but until recently we lacked routine analytical techniques to determine the concentration of these elements in situ on a micrometer scale in minerals and fluid inclusions. In this study, we evaluate the potential of in situ Cl and Br measurements by LA-ICP-MS through analysis of a range of scapolite grains with known Cl and Br concentrations. We assess the effects of varying spot sizes, variable plasma energy and resolve the contribution of polyatomic interferences on Br measurements. Using well-characterised natural scapolite standards, we show that LA-ICP-MS analysis allows measurement of Br and Cl concentrations in scapolite, and fluid inclusions as small as 16 μm in diameter and potentially in sodalite and a variety of other minerals, such as apatite, biotite, and amphibole. As a demonstration of the accuracy and potential of Cl and Br analyses by LA-ICP-MS, we analysed natural fluid inclusions hosted in sphalerite and compared them to crush and leach ion chromatography Cl/Br analyses. Limit of detection for Br is ~8 μg g<sup>−1</sup>, whereas relatively high Cl concentrations (> 500 μg g<sup>−1</sup>) are required for quantification by LA-ICP-MS. In general, our LA-ICP-MS fluid inclusion results agree well with ion chromatography (IC) data. Additionally, combined cathodoluminescence and LA-ICP-MS analyses on natural scapolites within a well-studied regional metamorphic suite in South Australia demonstrate that Cl and Br can be quantified with a ~25 μm resolution in natural minerals. This technique can be applied to resolve a range of hydrothermal geology problems, including determining the origins of ore forming brines and ore deposition processes, mapping metamorphic and hydrothermal fluid provinces and pathways, and constraining the effects of fluid–rock reactions and fluid mixing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2012.12.002","usgsCitation":"Hammerli, J., Rusk, B., Spandler, C., Emsbo, P., and Oliver, N.H., 2013, In situ quantification of Br and Cl in minerals and fluid inclusions by LA-ICP-MS: a powerful tool to identify fluid sources: Chemical Geology, v. 337-338, p. 75-87, https://doi.org/10.1016/j.chemgeo.2012.12.002.","productDescription":"13 p.","startPage":"75","endPage":"87","ipdsId":"IP-042825","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":273412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273411,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2012.12.002"}],"volume":"337-338","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b1a170e4b022a6a540f99c","contributors":{"authors":[{"text":"Hammerli, Johannes","contributorId":105201,"corporation":false,"usgs":true,"family":"Hammerli","given":"Johannes","email":"","affiliations":[],"preferred":false,"id":473085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rusk, Brian","contributorId":53519,"corporation":false,"usgs":true,"family":"Rusk","given":"Brian","affiliations":[],"preferred":false,"id":473083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spandler, Carl","contributorId":30895,"corporation":false,"usgs":true,"family":"Spandler","given":"Carl","email":"","affiliations":[],"preferred":false,"id":473082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emsbo, Poul 0000-0001-9421-201X pemsbo@usgs.gov","orcid":"https://orcid.org/0000-0001-9421-201X","contributorId":997,"corporation":false,"usgs":true,"family":"Emsbo","given":"Poul","email":"pemsbo@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":473081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliver, Nicholas H.S.","contributorId":54871,"corporation":false,"usgs":true,"family":"Oliver","given":"Nicholas","email":"","middleInitial":"H.S.","affiliations":[],"preferred":false,"id":473084,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046310,"text":"fs20133032 - 2013 - The 3D Elevation Program: summary for Wisconsin","interactions":[],"lastModifiedDate":"2016-08-17T16:17:52","indexId":"fs20133032","displayToPublicDate":"2013-06-06T00:00:00","publicationYear":"2013","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":"2013-3032","title":"The 3D Elevation Program: summary for Wisconsin","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Wisconsin, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, infrastructure and construction management, water supply and quality, and other business uses. Today, high-quality light detection and ranging (lidar) data are the sources for creating elevation models and other elevation datasets. Federal, State, and local agencies work in partnership to (1) replace data, on a national basis, that are (on average) 30 years old and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data. The new 3D Elevation Program (3DEP) initiative, managed by the U.S. Geological Survey (USGS), responds to the growing need for high-quality topographic data and a wide range of other three-dimensional representations of the Nation’s natural and constructed features.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133032","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Wisconsin (Originally posted on June 6, 2013; Revised June 13, 2013): U.S. Geological Survey Fact Sheet 2013-3032, 2 p., https://doi.org/10.3133/fs20133032.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":273378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133032.gif"},{"id":273376,"type":{"id":15,"text":"Index 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":479436,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174344,"text":"70174344 - 2013 - New perspectives on the geometry of the Albuquerque Basin, Rio Grande rift, New Mexico: Insights from geophysical models of rift-fill thickness","interactions":[],"lastModifiedDate":"2016-07-08T18:26:12","indexId":"70174344","displayToPublicDate":"2013-06-04T01:15:00","publicationYear":"2013","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":"New perspectives on the geometry of the Albuquerque Basin, Rio Grande rift, New Mexico: Insights from geophysical models of rift-fill thickness","docAbstract":"<p><span>Discrepancies among previous models of the geometry of the Albuquerque Basin motivated us to develop a new model using a comprehensive approach. Capitalizing on a natural separation between the densities of mainly Neogene basin fill (Santa Fe Group) and those of older rocks, we developed a three-dimensional (3D) geophysical model of syn-rift basin-fill thickness that incorporates well data, seismic-reflection data, geologic cross sections, and other geophysical data in a constrained gravity inversion. Although the resulting model does not show structures directly, it elucidates important aspects of basin geometry. The main features are three, 3&ndash;5-km-deep, interconnected structural depressions, which increase in size, complexity, and segmentation from north to south: the Santo Domingo, Calabacillas, and Belen subbasins. The increase in segmentation and complexity may reflect a transition of the Rio Grande rift from well-defined structural depressions in the north to multiple, segmented basins within a broader region of crustal extension to the south. The modeled geometry of the subbasins and their connections differs from a widely accepted structural model based primarily on seismic-reflection interpretations. Key elements of the previous model are an east-tilted half-graben block on the north separated from a west-tilted half-graben block on the south by a southwest-trending, scissor-like transfer zone. Instead, we find multiple subbasins with predominantly easterly tilts for much of the Albuquerque Basin, a restricted region of westward tilting in the southwestern part of the basin, and a northwesterly trending antiform dividing subbasins in the center of the basin instead of a major scissor-like transfer zone. The overall eastward tilt indicated by the 3D geophysical model generally conforms to stratal tilts observed for the syn-rift succession, implying a prolonged eastward tilting of the basin during Miocene time. An extensive north-south synform in the central part of the Belen subbasin suggests a possible path for the ancestral Rio Grande during late Miocene or early Pliocene time. Variations in rift-fill thickness correspond to pre-rift structures in several places, suggesting that a better understanding of pre-rift history may shed light on debates about structural inheritance within the rift.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2013.2494(16)","usgsCitation":"Grauch, V.J., and Connell, S.D., 2013, New perspectives on the geometry of the Albuquerque Basin, Rio Grande rift, New Mexico: Insights from geophysical models of rift-fill thickness: Special Paper of the Geological Society of America, v. 494, p. 427-462, https://doi.org/10.1130/2013.2494(16).","productDescription":"36 p.","startPage":"427","endPage":"462","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023201","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":324988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"494","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cebce4b081161682238e","contributors":{"authors":[{"text":"Grauch, V. J. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":152256,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":641980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connell, Sean D.","contributorId":7374,"corporation":false,"usgs":true,"family":"Connell","given":"Sean","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":641981,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046248,"text":"ds770 - 2013 - Groundwater well inventory and assessment in the area of the proposed Normally Pressured Lance natural gas development project, Green River Basin, Wyoming, 2012","interactions":[],"lastModifiedDate":"2013-06-04T09:41:04","indexId":"ds770","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"770","title":"Groundwater well inventory and assessment in the area of the proposed Normally Pressured Lance natural gas development project, Green River Basin, Wyoming, 2012","docAbstract":"During May through September 2012, the U.S. Geological Survey, in cooperation with the Bureau of Land Management, inventoried and assessed existing water wells in southwestern Wyoming for inclusion in a possible groundwater-monitor network. Records were located for 3,282 wells in the upper Green River Basin, which includes the U.S. Geological Survey study area and the proposed Normally Pressured Lance natural gas development project area. Records for 2,713 upper Green River Basin wells were determined to be unique (not duplicated) and to have a Wyoming State Engineers Office permit. Further, 376 of these wells were within the U.S. Geological Survey Normally Pressured Lance study area. Of the 376 wells in the U.S. Geological Survey Normally Pressured Lance study area, 141 well records had sufficient documentation, such as well depth, open interval, geologic log, and depth to water, to meet many, but not always all, established monitor well criteria. Efforts were made to locate each of the 141 wells and to document their current condition. Field crews were able to locate 121 of the wells, and the remaining 20 wells either were not located as described, or had been abandoned and the site reclaimed. Of the 121 wells located, 92 were found to meet established monitor well criteria. Results of the field efforts during May through September 2012, and specific physical characteristics of the 92 wells, are presented in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds770","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Sweat, M.J., 2013, Groundwater well inventory and assessment in the area of the proposed Normally Pressured Lance natural gas development project, Green River Basin, Wyoming, 2012: U.S. Geological Survey Data Series 770, v, 27 p., https://doi.org/10.3133/ds770.","productDescription":"v, 27 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-05-01","temporalEnd":"2012-09-30","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":273148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds770.gif"},{"id":273146,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/770/"},{"id":273147,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/770/ds770.pdf"}],"country":"United States","state":"Wyoming","otherGeospatial":"Green River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0,41.0 ], [ -111.0,45.0 ], [ -104.0,45.0 ], [ -104.0,41.0 ], [ -111.0,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51aefe59e4b08a3322c2c25c","contributors":{"authors":[{"text":"Sweat, Michael J. mjsweat@usgs.gov","contributorId":356,"corporation":false,"usgs":true,"family":"Sweat","given":"Michael","email":"mjsweat@usgs.gov","middleInitial":"J.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479298,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044948,"text":"70044948 - 2013 - History and evaluation of national-scale geochemical data sets for the United States","interactions":[],"lastModifiedDate":"2025-05-14T19:20:27.255318","indexId":"70044948","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1814,"text":"Geoscience Frontiers","active":true,"publicationSubtype":{"id":10}},"title":"History and evaluation of national-scale geochemical data sets for the United States","docAbstract":"Six national-scale, or near national-scale, geochemical data sets for soils or stream sediments exist for the United States. The earliest of these, here termed the ‘Shacklette’ data set, was generated by a U.S. Geological Survey (USGS) project conducted from 1961 to 1975. This project used soil collected from a depth of about 20 cm as the sampling medium at 1323 sites throughout the conterminous U.S. The National Uranium Resource Evaluation Hydrogeochemical and Stream Sediment Reconnaissance (NURE-HSSR) Program of the U.S. Department of Energy was conducted from 1975 to 1984 and collected either stream sediments, lake sediments, or soils at more than 378,000 sites in both the conterminous U.S. and Alaska. The sampled area represented about 65% of the nation. The Natural Resources Conservation Service (NRCS), from 1978 to 1982, collected samples from multiple soil horizons at sites within the major crop-growing regions of the conterminous U.S. This data set contains analyses of more than 3000 samples. The National Geochemical Survey, a USGS project conducted from 1997 to 2009, used a subset of the NURE-HSSR archival samples as its starting point and then collected primarily stream sediments, with occasional soils, in the parts of the U.S. not covered by the NURE-HSSR Program. This data set contains chemical analyses for more than 70,000 samples. The USGS, in collaboration with the Mexican Geological Survey and the Geological Survey of Canada, initiated soil sampling for the North American Soil Geochemical Landscapes Project in 2007. Sampling of three horizons or depths at more than 4800 sites in the U.S. was completed in 2010, and chemical analyses are currently ongoing. The NRCS initiated a project in the 1990s to analyze the various soil horizons from selected pedons throughout the U.S. This data set currently contains data from more than 1400 sites. This paper (1) discusses each data set in terms of its purpose, sample collection protocols, and analytical methods; and (2) evaluates each data set in terms of its appropriateness as a national-scale geochemical database and its usefulness for national-scale geochemical mapping.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gsf.2012.07.002","usgsCitation":"Smith, D., Smith, S.M., and Horton, J.D., 2013, History and evaluation of national-scale geochemical data sets for the United States: Geoscience Frontiers, v. 4, no. 2, p. 167-183, https://doi.org/10.1016/j.gsf.2012.07.002.","productDescription":"17 p.","startPage":"167","endPage":"183","ipdsId":"IP-030636","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":473776,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gsf.2012.07.002","text":"Publisher Index Page"},{"id":273160,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n            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]\n}","volume":"4","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51aefe59e4b08a3322c2c260","contributors":{"authors":[{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":476499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Steven M. 0000-0003-3591-5377 smsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-3591-5377","contributorId":1460,"corporation":false,"usgs":true,"family":"Smith","given":"Steven","email":"smsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, John D. 0000-0003-2969-9073 jhorton@usgs.gov","orcid":"https://orcid.org/0000-0003-2969-9073","contributorId":1227,"corporation":false,"usgs":true,"family":"Horton","given":"John","email":"jhorton@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476498,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046242,"text":"pp1798E - 2013 - Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri","interactions":[{"subject":{"id":70046242,"text":"pp1798E - 2013 - Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri","indexId":"pp1798E","publicationYear":"2013","noYear":false,"chapter":"E","title":"Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:21:34.384986","indexId":"pp1798E","displayToPublicDate":"2013-06-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"E","title":"Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri","docAbstract":"The U.S. Geological Survey initiated a substantial effort in the summer of 2011 to measure and document the record-setting floods of the Mississippi and Ohio Rivers, including the reach in and near the New Madrid Floodway. The activation of the floodway, which had not occurred since 1937, provided a rare opportunity to collect a unique dataset describing a flood wave downstream from a levee breach as well as the flow through a large floodway. A total of 42 submersible pressure transducers collected time series of water levels while crews collected hundreds of depth, velocity, and streamflow measurements at selected locations in and near the floodway throughout the period from late April to late June. These data are presented in this chapter.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 floods of the central United States (Professional Paper 1798)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798E","usgsCitation":"Koenig, T.A., and Holmes, R.R., 2013, Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri: U.S. Geological Survey Professional Paper 1798, Report: v, 31 p.; USGS 2011 New Madrid Floodway Data Archive, https://doi.org/10.3133/pp1798E.","productDescription":"Report: v, 31 p.; USGS 2011 New Madrid Floodway Data Archive","numberOfPages":"42","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":273128,"rank":1,"type":{"id":9,"text":"Database"},"url":"https://water.usgs.gov/floods/events/2011/BPNM/data_archive/"},{"id":273127,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798e/pdf/pp1798e.pdf"},{"id":273126,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798e/"},{"id":273129,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798e.gif"}],"country":"United States","state":"Missouri","otherGeospatial":"New Madrid Floodway","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.77,36.0 ], [ -95.77,40.61 ], [ -89.1,40.61 ], [ -89.1,36.0 ], [ -95.77,36.0 ] ] ] } } ] }","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51adaccfe4b07c214e64bcb7","contributors":{"authors":[{"text":"Koenig, Todd A. 0000-0001-5635-0219 tkoenig@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-0219","contributorId":4463,"corporation":false,"usgs":true,"family":"Koenig","given":"Todd","email":"tkoenig@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":479268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":479267,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045505,"text":"70045505 - 2013 - Heterogeneous rupture in the great Cascadia earthquake of 1700 inferred from coastal subsidence estimates","interactions":[],"lastModifiedDate":"2013-07-01T09:59:20","indexId":"70045505","displayToPublicDate":"2013-06-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Heterogeneous rupture in the great Cascadia earthquake of 1700 inferred from coastal subsidence estimates","docAbstract":"Past earthquake rupture models used to explain paleoseismic estimates of coastal subsidence during the great A.D. 1700 Cascadia earthquake have assumed a uniform slip distribution along the megathrust. Here we infer heterogeneous slip for the Cascadia margin in A.D. 1700 that is analogous to slip distributions during instrumentally recorded great subduction earthquakes worldwide. The assumption of uniform distribution in previous rupture models was due partly to the large uncertainties of then available paleoseismic data used to constrain the models. In this work, we use more precise estimates of subsidence in 1700 from detailed tidal microfossil studies. We develop a 3-D elastic dislocation model that allows the slip to vary both along strike and in the dip direction. Despite uncertainties in the updip and downdip slip extensions, the more precise subsidence estimates are best explained by a model with along-strike slip heterogeneity, with multiple patches of high-moment release separated by areas of low-moment release. For example, in A.D. 1700, there was very little slip near Alsea Bay, Oregon (~44.4°N), an area that coincides with a segment boundary previously suggested on the basis of gravity anomalies. A probable subducting seamount in this area may be responsible for impeding rupture during great earthquakes. Our results highlight the need for more precise, high-quality estimates of subsidence or uplift during prehistoric earthquakes from the coasts of southern British Columbia, northern Washington (north of 47°N), southernmost Oregon, and northern California (south of 43°N), where slip distributions of prehistoric earthquakes are poorly constrained.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/jgrb.50101","usgsCitation":"Wang, P., Engelhart, S.E., Wang, K., Hawkes, A., Horton, B.P., Nelson, A.R., and Witter, R., 2013, Heterogeneous rupture in the great Cascadia earthquake of 1700 inferred from coastal subsidence estimates: Journal of Geophysical Research B: Solid Earth, v. 118, no. 5, p. 2460-2473, https://doi.org/10.1002/jgrb.50101.","productDescription":"14 p.","startPage":"2460","endPage":"2473","ipdsId":"IP-043739","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473779,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50101","text":"Publisher Index Page"},{"id":273088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273086,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50101"}],"country":"United States;Canada","state":"British Columbia;Washington;Oregon;California","otherGeospatial":"Cascadia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -139.1,32.5 ], [ -139.1,60.0 ], [ -114.1,60.0 ], [ -114.1,32.5 ], [ -139.1,32.5 ] ] ] } } ] }","volume":"118","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"51adace2e4b07c214e64bcbf","contributors":{"authors":[{"text":"Wang, Pei-Ling","contributorId":44066,"corporation":false,"usgs":true,"family":"Wang","given":"Pei-Ling","email":"","affiliations":[],"preferred":false,"id":477663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":477664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Kelin","contributorId":15266,"corporation":false,"usgs":true,"family":"Wang","given":"Kelin","affiliations":[],"preferred":false,"id":477661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkes, Andrea D.","contributorId":20240,"corporation":false,"usgs":true,"family":"Hawkes","given":"Andrea D.","affiliations":[],"preferred":false,"id":477662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horton, Benjamin P.","contributorId":63641,"corporation":false,"usgs":true,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":477665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":477659,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","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":477660,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046231,"text":"ofr20131119 - 2013 - Landscape consequences of natural gas extraction in Fayette and Lycoming Counties, Pennsylvania, 2004–2010","interactions":[],"lastModifiedDate":"2016-08-19T17:34:04","indexId":"ofr20131119","displayToPublicDate":"2013-06-03T00:00:00","publicationYear":"2013","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":"2013-1119","title":"Landscape consequences of natural gas extraction in Fayette and Lycoming Counties, Pennsylvania, 2004–2010","docAbstract":"<p>Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Fayette County and Lycoming County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131119","usgsCitation":"Slonecker, E., Milheim, L., Roig-Silva, C., Malizia, A., and Gillenwater, B., 2013, Landscape consequences of natural gas extraction in Fayette and Lycoming Counties, Pennsylvania, 2004–2010: U.S. Geological Survey Open-File Report 2013-1119, v, 35 p., https://doi.org/10.3133/ofr20131119.","productDescription":"v, 35 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":273109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131119.gif"},{"id":273106,"type":{"id":15,"text":"Index 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,{"id":70046235,"text":"70046235 - 2013 - The timing of scour and fill in a gravel-bedded river measured with buried accelerometers","interactions":[],"lastModifiedDate":"2016-05-27T13:26:16","indexId":"70046235","displayToPublicDate":"2013-06-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The timing of scour and fill in a gravel-bedded river measured with buried accelerometers","docAbstract":"<p>A device that measures the timing of streambed scour and the duration of sediment mobilization at specific depths of a streambed was developed using data-logging accelerometers placed within the gravel substrate of the Cedar River, Washington, USA. Each accelerometer recorded its orientation every 20 min and remained stable until the surrounding gravel matrix mobilized as sediment was transported downstream and scour reached the level of the accelerometer. The accelerometer scour monitors were deployed at 26 locations in salmon-spawning habitat during the 2010&ndash;2011 flood season to record when the streambed was scoured to the depth of typical egg-pocket deposition. Scour was recorded at one location during a moderate high-flow event (65 m<sup>3</sup>/s; 1.25&ndash;1.5-year recurrence interval) and at 17 locations during a larger high-flow event (159 m<sup>3</sup>/s; 7-year recurrence interval). Accelerometer scour monitors recorded periods of intermittent sediment mobilization and stability within a high-flow event providing insight into the duration of scour. Most scour was recorded during the rising limb and at the peak of a flood hydrograph, though some scour occurred during sustained high flows following the peak of the flood hydrograph.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.05.012","usgsCitation":"Gendaszek, A.S., Magirl, C.S., Czuba, C.R., and Konrad, C.P., 2013, The timing of scour and fill in a gravel-bedded river measured with buried accelerometers: Journal of Hydrology, v. 495, p. 186-196, https://doi.org/10.1016/j.jhydrol.2013.05.012.","productDescription":"11 p.","startPage":"186","endPage":"196","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044142","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":273131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273130,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2013.05.012"}],"volume":"495","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51adace4e4b07c214e64bccf","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479248,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046244,"text":"fs20133022 - 2013 - UNLV’s environmentally friendly Science and Engineering Building is monitored for earthquake shaking","interactions":[],"lastModifiedDate":"2013-06-03T19:04:56","indexId":"fs20133022","displayToPublicDate":"2013-06-03T00:00:00","publicationYear":"2013","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":"2013-3022","title":"UNLV’s environmentally friendly Science and Engineering Building is monitored for earthquake shaking","docAbstract":"The University of Nevada Las Vegas’ (UNLV) Science and Engineering Building is at the cutting edge of environmentally friendly design. As the result of a recent effort by the U.S. Geological Survey’s National Strong Motion Project in cooperation with UNLV, the building is now also in the forefront of buildings installed with structural monitoring systems to measure response during earthquakes. This is particularly important because this is the first such building in Las Vegas. The seismic instrumentation will provide essential data to better understand the structural performance of buildings, especially in this seismically active region.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133022","collaboration":"In cooperation with University of Nevada, Las Vegas","usgsCitation":"Kalkan, E., Savage, W., Reza, S., Knight, E., and Tian, Y., 2013, UNLV’s environmentally friendly Science and Engineering Building is monitored for earthquake shaking: U.S. Geological Survey Fact Sheet 2013-3022, 4 p., https://doi.org/10.3133/fs20133022.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":273134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133022.gif"},{"id":273132,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3022/"},{"id":273133,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3022/fs2013-3022.pdf"}],"country":"United States","state":"Nevada","city":"Las Vegas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.136391,36.043348 ], [ -115.136391,36.045125 ], [ -115.134986,36.045125 ], [ -115.134986,36.043348 ], [ -115.136391,36.043348 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51adace5e4b07c214e64bcd3","contributors":{"authors":[{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":479272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savage, Woody","contributorId":46395,"corporation":false,"usgs":true,"family":"Savage","given":"Woody","email":"","affiliations":[],"preferred":false,"id":479274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reza, Shahneam sreza@usgs.gov","contributorId":5361,"corporation":false,"usgs":true,"family":"Reza","given":"Shahneam","email":"sreza@usgs.gov","affiliations":[],"preferred":true,"id":479273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knight, Eric","contributorId":56543,"corporation":false,"usgs":true,"family":"Knight","given":"Eric","email":"","affiliations":[],"preferred":false,"id":479275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tian, Ying","contributorId":92955,"corporation":false,"usgs":true,"family":"Tian","given":"Ying","email":"","affiliations":[],"preferred":false,"id":479276,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70124387,"text":"70124387 - 2013 - Estimating wildfire risk on a Mojave Desert landscape using remote sensing and field sampling","interactions":[],"lastModifiedDate":"2014-09-11T14:09:12","indexId":"70124387","displayToPublicDate":"2013-06-01T14:02:58","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Estimating wildfire risk on a Mojave Desert landscape using remote sensing and field sampling","docAbstract":"Predicting wildfires that affect broad landscapes is important for allocating suppression resources and guiding land management. Wildfire prediction in the south-western United States is of specific concern because of the increasing prevalence and severe effects of fire on desert shrublands and the current lack of accurate fire prediction tools. We developed a fire risk model to predict fire occurrence in a north-eastern Mojave Desert landscape. First we developed a spatial model using remote sensing data to predict fuel loads based on field estimates of fuels. We then modelled fire risk (interactions of fuel characteristics and environmental conditions conducive to wildfire) using satellite imagery, our model of fuel loads, and spatial data on ignition potential (lightning strikes and distance to roads), topography (elevation and aspect) and climate (maximum and minimum temperatures). The risk model was developed during a fire year at our study landscape and validated at a nearby landscape; model performance was accurate and similar at both sites. This study demonstrates that remote sensing techniques used in combination with field surveys can accurately predict wildfire risk in the Mojave Desert and may be applicable to other arid and semiarid lands where wildfires are prevalent.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Wildland Fire","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"CSIRO Publishing","publisherLocation":"Collingwood, Victoria, Australia","doi":"10.1071/WF12158","usgsCitation":"Van Linn, P.F., Nussear, K.E., Esque, T., DeFalco, L., Inman, R., and Abella, S.R., 2013, Estimating wildfire risk on a Mojave Desert landscape using remote sensing and field sampling: International Journal of Wildland Fire, v. 22, no. 6, p. 770-779, https://doi.org/10.1071/WF12158.","productDescription":"10 p.","startPage":"770","endPage":"779","numberOfPages":"10","ipdsId":"IP-034987","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293754,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/WF12158"}],"country":"United States","otherGeospatial":"Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.7817,35.8257 ], [ -115.7817,37.2075 ], [ -113.7586,37.2075 ], [ -113.7586,35.8257 ], [ -115.7817,35.8257 ] ] ] } } ] }","volume":"22","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412b9a8e4b0239f1986ba62","contributors":{"authors":[{"text":"Van Linn, Peter F. III","contributorId":24708,"corporation":false,"usgs":true,"family":"Van Linn","given":"Peter","suffix":"III","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":500763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":3221,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeFalco, Lesley A.","contributorId":42270,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley A.","affiliations":[],"preferred":false,"id":500764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Inman, Richard D.","contributorId":91201,"corporation":false,"usgs":true,"family":"Inman","given":"Richard D.","affiliations":[],"preferred":false,"id":500765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Abella, Scott R.","contributorId":103940,"corporation":false,"usgs":true,"family":"Abella","given":"Scott","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":500766,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118321,"text":"70118321 - 2013 - Doppler weather radar observations of the 2009 eruption of Redoubt Volcano, Alaska","interactions":[],"lastModifiedDate":"2014-07-28T13:28:12","indexId":"70118321","displayToPublicDate":"2013-06-01T13:26:35","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Doppler weather radar observations of the 2009 eruption of Redoubt Volcano, Alaska","docAbstract":"The U.S. Geological Survey (USGS) deployed a transportable Doppler C-band radar during the precursory stage of the 2009 eruption of Redoubt Volcano, Alaska that provided valuable information during subsequent explosive events. We describe the capabilities of this new monitoring tool and present data captured during the Redoubt eruption. The MiniMax 250-C (MM-250C) radar detected seventeen of the nineteen largest explosive events between March 23 and April 4, 2009. Sixteen of these events reached the stratosphere (above 10 km) within 2–5 min of explosion onset. High column and proximal cloud reflectivity values (50 to 60 dBZ) were observed from many of these events, and were likely due to the formation of mm-sized accretionary tephra-ice pellets. Reflectivity data suggest that these pellets formed within the first few minutes of explosion onset. Rapid sedimentation of the mm-sized pellets was observed as a decrease in maximum detection cloud height. The volcanic cloud from the April 4 explosive event showed lower reflectivity values, due to finer particle sizes (related to dome collapse and related pyroclastic flows) and lack of significant pellet formation. Eruption durations determined by the radar were within a factor of two compared to seismic and pressure-sensor derived estimates, and were not well correlated. Ash dispersion observed by the radar was primarily in the upper troposphere below 10 km, but satellite observations indicate the presence of volcanogenic clouds in the stratosphere. This study suggests that radar is a valuable complement to traditional seismic and satellite monitoring of explosive eruptions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier Science","publisherLocation":"Netherlands","doi":"10.1016/j.jvolgeores.2012.11.004","usgsCitation":"Schneider, D.J., and Hoblitt, R.P., 2013, Doppler weather radar observations of the 2009 eruption of Redoubt Volcano, Alaska: Journal of Volcanology and Geothermal Research, v. 259, p. 133-144, https://doi.org/10.1016/j.jvolgeores.2012.11.004.","productDescription":"12 p.","startPage":"133","endPage":"144","numberOfPages":"12","costCenters":[],"links":[{"id":291173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291172,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2012.11.004"}],"country":"United States","state":"Alaska","otherGeospatial":"Redoubt Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -154.792,59.774 ], [ -154.792,61.1813 ], [ -150.6941,61.1813 ], [ -150.6941,59.774 ], [ -154.792,59.774 ] ] ] } } ] }","volume":"259","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f2dde4b0bc0bec0a063e","contributors":{"authors":[{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":633,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":496750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoblitt, Richard P. rhoblitt@usgs.gov","contributorId":1937,"corporation":false,"usgs":true,"family":"Hoblitt","given":"Richard","email":"rhoblitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":496751,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048422,"text":"70048422 - 2013 - A Unified Flash Flood Database across the United States","interactions":[],"lastModifiedDate":"2023-03-10T12:35:56.209488","indexId":"70048422","displayToPublicDate":"2013-06-01T13:21:02","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"A Unified Flash Flood Database across the United States","docAbstract":"Despite flash flooding being one of the most deadly and costly weather-related natural hazards worldwide, individual datasets to characterize them in the United States are hampered by limited documentation and can be difficult to access. This study is the first of its kind to assemble, reprocess, describe, and disseminate a georeferenced U.S. database providing a long-term, detailed characterization of flash flooding in terms of spatiotemporal behavior and specificity of impacts. The database is composed of three primary sources: 1) the entire archive of automated discharge observations from the U.S. Geological Survey that has been reprocessed to describe individual flooding events, 2) flash-flooding reports collected by the National Weather Service from 2006 to the present, and 3) witness reports obtained directly from the public in the Severe Hazards Analysis and Verification Experiment during the summers 2008–10. Each observational data source has limitations; a major asset of the unified flash flood database is its collation of relevant information from a variety of sources that is now readily available to the community in common formats. It is anticipated that this database will be used for many diverse purposes, such as evaluating tools to predict flash flooding, characterizing seasonal and regional trends, and improving understanding of dominant flood-producing processes. We envision the initiation of this community database effort will attract and encompass future datasets.","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-12-00198.1","usgsCitation":"Gourley, J., Hong, Y., Flamig, Z.L., Arthur, A., Clark, R., Calianno, M., Ruin, I., Ortel, T., Wieczorek, M., Kirstetter, P., Clark, E., and Krajewski, W.F., 2013, A Unified Flash Flood Database across the United States: Bulletin of the American Meteorological Society, v. 94, no. 6, p. 799-805, https://doi.org/10.1175/BAMS-D-12-00198.1.","productDescription":"7 p.","startPage":"799","endPage":"805","ipdsId":"IP-038441","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":473789,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-12-00198.1","text":"Publisher Index Page"},{"id":278144,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383 ], [ -66.95,49.383 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"94","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-01","publicationStatus":"PW","scienceBaseUri":"52455761e4b0b3d37307e168","contributors":{"authors":[{"text":"Gourley, Jonathan J.","contributorId":100733,"corporation":false,"usgs":true,"family":"Gourley","given":"Jonathan J.","affiliations":[],"preferred":false,"id":484607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hong, Yang","contributorId":67000,"corporation":false,"usgs":true,"family":"Hong","given":"Yang","affiliations":[],"preferred":false,"id":484604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flamig, Zachary L.","contributorId":62515,"corporation":false,"usgs":true,"family":"Flamig","given":"Zachary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arthur, Ami","contributorId":79012,"corporation":false,"usgs":true,"family":"Arthur","given":"Ami","email":"","affiliations":[],"preferred":false,"id":484605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Robert","contributorId":40471,"corporation":false,"usgs":true,"family":"Clark","given":"Robert","affiliations":[],"preferred":false,"id":484601,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calianno, Martin","contributorId":60115,"corporation":false,"usgs":true,"family":"Calianno","given":"Martin","email":"","affiliations":[],"preferred":false,"id":484602,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ruin, Isabelle","contributorId":34419,"corporation":false,"usgs":true,"family":"Ruin","given":"Isabelle","email":"","affiliations":[],"preferred":false,"id":484600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ortel, Terry W. tortel@usgs.gov","contributorId":2822,"corporation":false,"usgs":true,"family":"Ortel","given":"Terry W.","email":"tortel@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":484598,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":484597,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kirstetter, Pierre-Emmanuel","contributorId":91399,"corporation":false,"usgs":true,"family":"Kirstetter","given":"Pierre-Emmanuel","affiliations":[],"preferred":false,"id":484606,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clark, Edward","contributorId":106747,"corporation":false,"usgs":true,"family":"Clark","given":"Edward","affiliations":[],"preferred":false,"id":484608,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Krajewski, Witold F.","contributorId":27348,"corporation":false,"usgs":true,"family":"Krajewski","given":"Witold","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":484599,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70125274,"text":"70125274 - 2013 - A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 14: plants of conservation concern","interactions":[],"lastModifiedDate":"2014-09-23T13:01:03","indexId":"70125274","displayToPublicDate":"2013-06-01T12:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SEKI/NRR--2013/665.14","title":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 14: plants of conservation concern","docAbstract":"<p>Sequoia and Kings Canyon National Parks are located in the California Floristic Province, which \nhas been named one of world‘s hotspots of endemic biodiversity (Myers et al. 2000). The \nCalifornia Floristic Province is the largest and most important geographic floristic unit in \nCalifornia and extends from the Klamath Mountains of southwestern Oregon to the northwestern \nportion of Baja California (Hickman 1993). The Sierra Nevada, one of six regions that make up \nthe California Floristic Province, covers nearly 20% of the land in California yet contains over \n50% of its flora. Within the Sierra Nevada, the southern Sierra supports more Sierran endemic \nand rare plant taxa than the central and northern portions of the region (Shevock 1996). Sequoia \nand Kings Canyon National Parks (SEKI) encompass roughly 20% of the southern Sierra \nNevada region. The parks overlap three floristic subregions (central Sierra Nevada High, \nsouthern Sierra Nevada High, and southern Sierra Nevada Foothills), and border the Great Basin \nFloristic Province.</p>\n<br>\n<p>The parks support a rich and diverse vascular flora composed of over 1,560 taxa. Of these, 150 \ntaxa are identified as having special status. The term special status is applied here to include \ntaxa that are state or federally listed, rare in California, or at risk because they have a limited \ndistribution. Only one species from these parks is listed under the state or federal Endangered \nSpecies Acts (<i>Carex tompkinsii</i>, Tompkins‘ sedge, is listed as a rare species under the California \nEndangered Species Act), and one species is under review for federal endangered listing (<i>Pinus \nalbicaulis</i>, whitebark pine). However, an absence of threatened and endangered species recognized \nby Endangered Species Acts is not equivalent to an absence of species at risk. There are 83 plant \ntaxa documented as occurring in SEKI that are considered imperiled or vulnerable in the state by the \nCalifornia Department of Fish and Game‘s California Natural Diversity Database (CNDDB \n2010a). There are an additional 66 taxa not formally listed by CNDDB that are recognized as \nhaving special status because their distribution is restricted to the Sierra Nevada. Special status \nplants are distributed throughout the two parks and inhabit a wide range of environments along the \nlength of the elevation gradient that characterizes these parks.</p>\n<br>\n<p>Ideally, we would assess the condition (status and trends) of each of the taxa on the SEKI special \nstatus plant list, documenting current population sizes, demographic rates and demographic \ntrends. We would also hope to quantify the effects of individual stressors on each species based \non existing monitoring and research. However, no data are available for most of the species on \nthe special status plant list. For those few species (12 herbaceous species and two tree species) \nfor which we possess some change over time information, the data are not adequate to make a \ncompetent assessment. Note that we have not explored the tree demographic information in any \ndetail, as is covered in the NRCA Intact Forest/Five Needle Pines and Sequoia chapters. In \ngeneral, we are unable to present an ‗integrity‘ metric for special status species in the parks, \nsince the data to quantify the condition of each species in such a manner is not available.</p>\n<br>\n<p>In contrast, the park does possess substantial data describing biodiversity in the parks. Therefore, \nour analysis focuses on describing the distribution and rarity of special status plants within the \nparks, with a particular focus on assessing the spatial distribution of species richness. We hope \nthat such information will prove useful to park managers in determining which areas in the parks \nmerit the most attention (for example in developing monitoring protocols). We also assess \npotential vulnerability of special status species to the stressors chosen by the NRCA working \ngroup, using both park data and available literature.</p>\n<br>\n<p>As a first step, we spent considerable effort updating and refining the criteria for the special \nstatus plant list, as this list defines which taxa are considered in our assessment. Observation data \nof these species was then compiled from all known sources in order to provide a comprehensive \nview of where special status plants have been documented and, ultimately, to enable the most \ninformed determinations of areas in the parks that potentially support the highest number of rare \nand endemic taxa. These ‗hot spot‘ analyses are presented by geographic region, vegetation type \nand elevation.</p>\n<br>\n<p>For these and other analyses presented in this report, we place more focus on summarizing \nfindings for the herbaceous and shrub special status taxa than on special status trees. The trees \nwhich qualify as special status are the focus of other NRCA chapters, including Giant Sequoia \nand Intact Forests/Five-needle Pines. We do, however, present their mapped distributions and \nprovide overviews of research related to the special status tree taxa in the Stressors section of this \nreport.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Huber, A., Das, A., Wenk, R., and Haultain, S., 2013, A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 14: plants of conservation concern: Natural Resource Report NPS/SEKI/NRR--2013/665.14, ix, 94 p.","productDescription":"ix, 94 p.","numberOfPages":"108","ipdsId":"IP-035065","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294338,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2195708"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park;Sequoia National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.983208,36.118448 ], [ -118.983208,37.237613 ], [ -118.020777,37.237613 ], [ -118.020777,36.118448 ], [ -118.983208,36.118448 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb07e4b08312ac7ceeb7","contributors":{"authors":[{"text":"Huber, Ann","contributorId":16335,"corporation":false,"usgs":true,"family":"Huber","given":"Ann","email":"","affiliations":[],"preferred":false,"id":501083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Das, Adrian","contributorId":73935,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","affiliations":[],"preferred":false,"id":501084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wenk, Rebecca","contributorId":95403,"corporation":false,"usgs":true,"family":"Wenk","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":501085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haultain, Sylvia","contributorId":107761,"corporation":false,"usgs":true,"family":"Haultain","given":"Sylvia","affiliations":[],"preferred":false,"id":501086,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70155279,"text":"70155279 - 2013 - Modeling rain-fed maize vulnerability to droughts using the standardized precipitation index from satellite estimated rainfall—Southern Malawi case study","interactions":[],"lastModifiedDate":"2017-01-18T11:49:43","indexId":"70155279","displayToPublicDate":"2013-06-01T12:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Modeling rain-fed maize vulnerability to droughts using the standardized precipitation index from satellite estimated rainfall—Southern Malawi case study","docAbstract":"<p>During 1990s, disaster risk reduction emerged as a novel, proactive approach to managing risks from natural hazards. The World Bank, USAID, and other international donor agencies began making efforts to mainstream disaster risk reduction in countries whose population and economies were heavily dependent on rain-fed agriculture. This approach has more significance in light of the increasing climatic hazard patterns and the climate scenarios projected for different hazard prone countries in the world. The Famine Early Warning System Network (FEWS NET) has been monitoring the food security issues in the sub-Saharan Africa, Asia and in Haiti. FEWS NET monitors the rainfall and moisture availability conditions with the help of NOAA RFE2 data for deriving food security status in Africa. This paper highlights the efforts in using satellite estimated rainfall inputs to develop drought vulnerability models in the drought prone areas in Malawi. The satellite RFE2 based SPI corresponding to the critical tasseling and silking phases (in the months of January, February, and March) were statistically regressed with drought-induced yield losses at the district level. The analysis has shown that the drought conditions in February and early March lead to most damage to maize yields in this region. The district-wise vulnerabilities to drought were upscaled to obtain a regional maize vulnerability model for southern Malawi. The results would help in establishing an early monitoring mechanism for drought impact assessment, give the decision makers additional time to assess seasonal outcomes, and identify potential food-related hazards in Malawi.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ijdrr.2013.02.001","usgsCitation":"Funk, C.C., Verdin, J., Chavula, A., Gregory J. Husak, Harikishan Jayanthi, and Magadzire, T., 2013, Modeling rain-fed maize vulnerability to droughts using the standardized precipitation index from satellite estimated rainfall—Southern Malawi case study: International Journal of Disaster Risk Reduction, v. 4, p. 71-81, https://doi.org/10.1016/j.ijdrr.2013.02.001.","productDescription":"11 p.","startPage":"71","endPage":"81","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031538","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":306489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f2dde4b0bc0bec0a0640","contributors":{"authors":[{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":565483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdin, James 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":145830,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":565484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chavula, Adams","contributorId":145853,"corporation":false,"usgs":false,"family":"Chavula","given":"Adams","email":"","affiliations":[{"id":16263,"text":"Department of Climate Change and Meteorological Services, Malawi","active":true,"usgs":false}],"preferred":false,"id":565485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregory J. Husak","contributorId":145824,"corporation":false,"usgs":false,"family":"Gregory J. Husak","affiliations":[{"id":16245,"text":"Department of Geography and Climate Hazards Group, University of California, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":565486,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harikishan Jayanthi","contributorId":145854,"corporation":false,"usgs":false,"family":"Harikishan Jayanthi","affiliations":[{"id":16264,"text":"Climate Hazards Group, UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":565487,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Magadzire, Tamuka","contributorId":145852,"corporation":false,"usgs":false,"family":"Magadzire","given":"Tamuka","email":"","affiliations":[{"id":16262,"text":"Famine Early Warning Systems Network","active":true,"usgs":false}],"preferred":false,"id":565488,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70132430,"text":"70132430 - 2013 - Operational evapotranspiration mapping using remote sensing and weather datasets: A new parameterization for the SSEB approach","interactions":[],"lastModifiedDate":"2020-12-29T13:05:54.132252","indexId":"70132430","displayToPublicDate":"2013-06-01T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Operational evapotranspiration mapping using remote sensing and weather datasets: A new parameterization for the SSEB approach","docAbstract":"<p>The increasing availability of multi-scale remotely sensed data and global weather datasets is allowing the estimation of evapotranspiration (ET) at multiple scales. We present a simple but robust method that uses remotely sensed thermal data and model-assimilated weather fields to produce ET for the contiguous United States (CONUS) at monthly and seasonal time scales. The method is based on the Simplified Surface Energy Balance (SSEB) model, which is now parameterized for operational applications, renamed as SSEBop. The innovative aspect of the SSEBop is that it uses predefined boundary conditions that are unique to each pixel for the \"hot\" and \"cold\" reference conditions. The SSEBop model was used for computing ET for 12 years (2000-2011) using the MODIS and Global Data Assimilation System (GDAS) data streams. SSEBop ET results compared reasonably well with monthly eddy covariance ET data explaining 64% of the observed variability across diverse ecosystems in the CONUS during 2005. Twelve annual ET anomalies (2000-2011) depicted the spatial extent and severity of the commonly known drought years in the CONUS. More research is required to improve the representation of the predefined boundary conditions in complex terrain at small spatial scales. SSEBop model was found to be a promising approach to conduct water use studies in the CONUS, with a similar opportunity in other parts of the world. The approach can also be applied with other thermal sensors such as Landsat.</p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/jawr.12057","usgsCitation":"Senay, G.B., Bohms, S., Singh, R.K., Gowda, P.H., Velpuri, N.M., Alemu, H., and Verdin, J.P., 2013, Operational evapotranspiration mapping using remote sensing and weather datasets: A new parameterization for the SSEB approach: Journal of the American Water Resources Association, v. 49, no. 3, p. 577-591, https://doi.org/10.1111/jawr.12057.","productDescription":"15 p.","startPage":"577","endPage":"591","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037720","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":438789,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L2YMV","text":"USGS data release","linkHelpText":"Daily SSEBop Evapotranspiration Data from 2000 to 2018"},{"id":381655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-13","publicationStatus":"PW","scienceBaseUri":"5465d635e4b04d4b7dbd6624","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":522829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":525156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singh, Ramesh K. 0000-0002-8164-3483 rsingh@usgs.gov","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":3895,"corporation":false,"usgs":true,"family":"Singh","given":"Ramesh","email":"rsingh@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":525157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gowda, Prasanna H.","contributorId":127439,"corporation":false,"usgs":false,"family":"Gowda","given":"Prasanna","email":"","middleInitial":"H.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":525158,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":4441,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":525159,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alemu, Henok","contributorId":124527,"corporation":false,"usgs":false,"family":"Alemu","given":"Henok","email":"","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":525160,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":525161,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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