Institution
United States Geological Survey
Government•Reston, Virginia, United States•
About: United States Geological Survey is a government organization based out in Reston, Virginia, United States. It is known for research contribution in the topics: Population & Groundwater. The organization has 17899 authors who have published 51097 publications receiving 2479125 citations. The organization is also known as: USGS & US Geological Survey.
Topics: Population, Groundwater, Volcano, Aquifer, Fault (geology)
Papers published on a yearly basis
Papers
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Utah State University1, Virginia Tech2, University of Arizona3, University of Maryland, College Park4, University of New Hampshire5, University of Wisconsin-Madison6, Harvard University7, Ames Research Center8, United States Geological Survey9, University of Montana10, University of Wisconsin–Milwaukee11, University of California, Berkeley12, University of Maine13, Colorado State University14
TL;DR: In this paper, the authors assess 10 start-of-spring (SOS) methods for North America between 1982 and 2006 and find that SOS estimates were more related to the first leaf and first flowers expanding phenological stages.
Abstract: Shifts in the timing of spring phenology are a central feature of global change research. Long-term observations of plant phenology have been used to track vegetation responses to climate variability but are often limited to particular species and locations and may not represent synoptic patterns. Satellite remote sensing is instead used for continental to global monitoring. Although numerous methods exist to extract phenological timing, in particular start-of-spring (SOS), from time series of reflectance data, a comprehensive intercomparison and interpretation of SOS methods has not been conducted. Here, we assess 10 SOS methods for North America between 1982 and 2006. The techniques include consistent inputs from the 8 km Global Inventory Modeling and Mapping Studies Advanced Very High Resolution Radiometer NDVIg dataset, independent data for snow cover, soil thaw, lake ice dynamics, spring streamflow timing, over 16 000 individual measurements of ground-based phenology, and two temperature-driven models of spring phenology. Compared with an ensemble of the 10 SOS methods, we found that individual methods differed in average day-of-year estimates by � 60 days and in standard deviation by � 20 days. The ability of the satellite methods to retrieve SOS estimates was highest in northern latitudes and lowest in arid, tropical, and Mediterranean ecoregions. The ordinal rank of SOS methods varied geographically, as did the relationships between SOS estimates and the cryospheric/hydrologic metrics. Compared with ground observations, SOS estimates were more related to the first leaf and first flowers expanding phenological stages. We found no evidence for time trends in spring arrival from ground- or model-based data; using an ensemble estimate from two methods that were more closely related to ground observations than other methods, SOS
831 citations
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United States Geological Survey1, University of Utah2, Stanford University3, Northern Arizona University4, University of Nevada, Reno5, Ensenada Center for Scientific Research and Higher Education6, University of Texas at Austin7, Los Alamos National Laboratory8, Argonne National Laboratory9, University of Texas at El Paso10, University of Washington11, New Mexico Institute of Mining and Technology12, United States Bureau of Mines13, Boise State University14
TL;DR: The most promising explanations involve nonlinear interactions between large dynamic strains accompanying seismic waves from the mainshock and crustal fluids (perhaps including crustal magma).
Abstract: The magnitude 7.3 Landers earthquake of 28 June 1992 triggered a remarkably sudden and widespread increase in earthquake activity across much of the western United States. The triggered earthquakes, which occurred at distances up to 1250 kilometers (17 source dimensions) from the Landers mainshock, were confined to areas of persistent seismicity and strike-slip to normal faulting. Many of the triggered areas also are sites of geothermal and recent volcanic activity. Static stress changes calculated for elastic models of the earthquake appear to be too small to have caused the triggering. The most promising explanations involve nonlinear interactions between large dynamic strains accompanying seismic waves from the mainshock and crustal fluids (perhaps including crustal magma).
825 citations
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TL;DR: In this paper, a set of definitions and methodologies for the assessment of CO2 storage capacity in geological media is presented, including coal beds and deep saline aquifers, and the level of detail and resolution required in the data make reliable and accurate estimation of the storage capacity of these media practical only at the local and site-specific scales.
824 citations
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TL;DR: Coupling free and open access to large data volumes with improved processing power will result in automated image pre-processing and land cover characterization methods that need to leverage high-performance computing capabilities in advancing the land cover monitoring discipline.
824 citations
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Illinois State University1, York University2, California University of Pennsylvania3, Washington State University4, United States Geological Survey5, Norwegian Institute for Air Research6, University of Wisconsin-Madison7, Uppsala University8, University of Konstanz9, University at Albany, SUNY10, Leibniz Association11, University of Waikato12, University of Helsinki13, University of Minnesota14, Indian Ministry of Environment and Forests15, Colorado State University16, University of Adelaide17, Marine Institute of Memorial University of Newfoundland18, University of Innsbruck19, University of Florida20, Cornell University21, International Institute for Sustainable Development22, California Institute of Technology23, Irkutsk State University24, Estonian University of Life Sciences25, Ritsumeikan University26, Finnish Environment Institute27, Great Lakes Environmental Research Laboratory28, Swiss Federal Institute of Aquatic Science and Technology29, University of California, Santa Barbara30, University of Hamburg31, Russian Academy of Sciences32, Royal Museum for Central Africa33, National Research Council34, Ontario Ministry of the Environment35, University of New Hampshire36, University of Washington37, University of California, Davis38, Melikşah University39, University of Vienna40, National Institute of Water and Atmospheric Research41, University of Eastern Finland42, Seqwater43, Miami University44, Chinese Academy of Sciences45
TL;DR: In the first worldwide synthesis of in situ and satellite-derived lake data, this paper found that lake summer surface water temperatures rose rapidly (global mean = 0.34°C decade−1) between 1985 and 2009.
Abstract: In this first worldwide synthesis of in situ and satellite-derived lake data, we find that lake summer surface water temperatures rose rapidly (global mean = 0.34°C decade−1) between 1985 and 2009. Our analyses show that surface water warming rates are dependent on combinations of climate and local characteristics, rather than just lake location, leading to the counterintuitive result that regional consistency in lake warming is the exception, rather than the rule. The most rapidly warming lakes are widely geographically distributed, and their warming is associated with interactions among different climatic factors—from seasonally ice-covered lakes in areas where temperature and solar radiation are increasing while cloud cover is diminishing (0.72°C decade−1) to ice-free lakes experiencing increases in air temperature and solar radiation (0.53°C decade−1). The pervasive and rapid warming observed here signals the urgent need to incorporate climate impacts into vulnerability assessments and adaptation efforts for lakes.
822 citations
Authors
Showing all 18026 results
Name | H-index | Papers | Citations |
---|---|---|---|
Derek R. Lovley | 168 | 582 | 95315 |
Steven Williams | 144 | 1375 | 86712 |
Thomas J. Smith | 140 | 1775 | 113919 |
Jillian F. Banfield | 127 | 562 | 60687 |
Kurunthachalam Kannan | 126 | 820 | 59886 |
J. D. Hansen | 122 | 975 | 76198 |
John P. Giesy | 114 | 1162 | 62790 |
David Pollard | 108 | 438 | 39550 |
Alan Cooper | 108 | 746 | 45772 |
Gordon E. Brown | 100 | 454 | 32152 |
Gerald Schubert | 98 | 614 | 34505 |
Peng Li | 95 | 1548 | 45198 |
Vipin Kumar | 95 | 614 | 59034 |
Susan E. Trumbore | 95 | 337 | 34844 |
Alfred S. McEwen | 92 | 624 | 28730 |