Roland J Viger (Former Employee)
Science and Products
Filter Total Items: 17
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Filter Total Items: 46
Community for Data Integration 2013 Annual Report Community for Data Integration 2013 Annual Report
The U.S. Geological Survey (USGS) conducts earth science to help address complex issues affecting society and the environment. In 2006, the USGS held the first Scientific Information Management Workshop to bring together staff from across the organization to discuss the data and information management issues affecting the integration and delivery of earth science research and investigate...
Authors
Michelle Y. Chang, Jennifer Carlino, Christopher Barnes, David L. Blodgett, Andrew R. Bock, Anthony L. Everette, Gregory L. Fernette, Lorraine E. Flint, Janice M. Gordon, David L. Govoni, Lauren E. Hay, Heather S. Henkel, Megan Hines, Sally L. Holl, Collin G. Homer, Vivian B. Hutchison, Drew A. Ignizio, Tim J. Kern, Frances L. Lightsom, Steven L. Markstrom, Michael S. O’Donnell, Jacquelyn L. Schei, Lorna A. Schmid, Kathryn M. Schoephoester, Peter N. Schweitzer, Susan K. Skagen, Daniel J. Sullivan, Colin Talbert, Meredith Pavlick Warren
PRMS-IV, the precipitation-runoff modeling system, version 4 PRMS-IV, the precipitation-runoff modeling system, version 4
Computer models that simulate the hydrologic cycle at a watershed scale facilitate assessment of variability in climate, biota, geology, and human activities on water availability and flow. This report describes an updated version of the Precipitation-Runoff Modeling System. The Precipitation-Runoff Modeling System is a deterministic, distributed-parameter, physical-process-based...
Authors
Steven L. Markstrom, R. Steve Regan, Lauren E. Hay, Roland J. Viger, Richard M. Webb, Robert A. Payn, Jacob H. LaFontaine
The effects of changing land cover on streamflow simulation in Puerto Rico The effects of changing land cover on streamflow simulation in Puerto Rico
This study quantitatively explores whether land cover changes have a substantive impact on simulated streamflow within the tropical island setting of Puerto Rico. The Precipitation Runoff Modeling System (PRMS) was used to compare streamflow simulations based on five static parameterizations of land cover with those based on dynamically varying parameters derived from four land cover...
Authors
Ashley E. Van Beusekom, Lauren E. Hay, Roland J. Viger, William A. Gould, Jaime Collazo, Azad Henareh Khalyani
The effects of Missouri River mainstem reservoir system operations on 2011 flooding using a Precipitation-Runoff Modeling System model The effects of Missouri River mainstem reservoir system operations on 2011 flooding using a Precipitation-Runoff Modeling System model
In 2011 the Missouri River Mainstem Reservoir System (Reservoir System) experienced the largest volume of flood waters since the initiation of record-keeping in the nineteenth century. The high levels of runoff from both snowpack and rainfall stressed the Reservoir System’s capacity to control flood waters and caused massive damage and disruption along the river. The flooding and...
Authors
Adel E. Haj, Daniel E. Christiansen, Roland J. Viger
Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States
A hydrologic model of the Apalachicola–Chattahoochee–Flint River Basin (ACFB) has been developed as part of a U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center effort to provide integrated science that helps resource managers understand the effect of climate change on a range of ecosystem responses. The hydrologic model was developed as part of the...
Authors
Jacob H. LaFontaine, Lauren E. Hay, Roland J. Viger, Steve L. Markstrom, R. Steve Regan, Caroline M. Elliott, John Jones
U.S. Geological Survey core science systems strategy: characterizing, synthesizing, and understanding the critical zone through a modular science framework U.S. Geological Survey core science systems strategy: characterizing, synthesizing, and understanding the critical zone through a modular science framework
Executive Summary Core Science Systems is a new mission of the U.S. Geological Survey (USGS) that resulted from the 2007 Science Strategy, “Facing Tomorrow’s Challenges: U.S. Geological Survey Science in the Decade 2007–2017.” This report describes the Core Science Systems vision and outlines a strategy to facilitate integrated characterization and understanding of the complex Earth...
Authors
R. Sky Bristol, Ned H. Euliss, Nathaniel L. Booth, Nina Burkardt, Jay E. Diffendorfer, Dean B. Gesch, Brian E. McCallum, David M. Miller, Suzette A. Morman, Barbara S. Poore, Richard P. Signell, Roland J. Viger
By
Core Science Systems Mission Area, Science Synthesis, Analysis, and Research Program, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI), Earth Resources Observation and Science (EROS) Center , Geosciences and Environmental Change Science Center, Coastal Changes and Impacts
Science and Products
Filter Total Items: 17
No Result Found
Filter Total Items: 46
Community for Data Integration 2013 Annual Report Community for Data Integration 2013 Annual Report
The U.S. Geological Survey (USGS) conducts earth science to help address complex issues affecting society and the environment. In 2006, the USGS held the first Scientific Information Management Workshop to bring together staff from across the organization to discuss the data and information management issues affecting the integration and delivery of earth science research and investigate...
Authors
Michelle Y. Chang, Jennifer Carlino, Christopher Barnes, David L. Blodgett, Andrew R. Bock, Anthony L. Everette, Gregory L. Fernette, Lorraine E. Flint, Janice M. Gordon, David L. Govoni, Lauren E. Hay, Heather S. Henkel, Megan Hines, Sally L. Holl, Collin G. Homer, Vivian B. Hutchison, Drew A. Ignizio, Tim J. Kern, Frances L. Lightsom, Steven L. Markstrom, Michael S. O’Donnell, Jacquelyn L. Schei, Lorna A. Schmid, Kathryn M. Schoephoester, Peter N. Schweitzer, Susan K. Skagen, Daniel J. Sullivan, Colin Talbert, Meredith Pavlick Warren
PRMS-IV, the precipitation-runoff modeling system, version 4 PRMS-IV, the precipitation-runoff modeling system, version 4
Computer models that simulate the hydrologic cycle at a watershed scale facilitate assessment of variability in climate, biota, geology, and human activities on water availability and flow. This report describes an updated version of the Precipitation-Runoff Modeling System. The Precipitation-Runoff Modeling System is a deterministic, distributed-parameter, physical-process-based...
Authors
Steven L. Markstrom, R. Steve Regan, Lauren E. Hay, Roland J. Viger, Richard M. Webb, Robert A. Payn, Jacob H. LaFontaine
The effects of changing land cover on streamflow simulation in Puerto Rico The effects of changing land cover on streamflow simulation in Puerto Rico
This study quantitatively explores whether land cover changes have a substantive impact on simulated streamflow within the tropical island setting of Puerto Rico. The Precipitation Runoff Modeling System (PRMS) was used to compare streamflow simulations based on five static parameterizations of land cover with those based on dynamically varying parameters derived from four land cover...
Authors
Ashley E. Van Beusekom, Lauren E. Hay, Roland J. Viger, William A. Gould, Jaime Collazo, Azad Henareh Khalyani
The effects of Missouri River mainstem reservoir system operations on 2011 flooding using a Precipitation-Runoff Modeling System model The effects of Missouri River mainstem reservoir system operations on 2011 flooding using a Precipitation-Runoff Modeling System model
In 2011 the Missouri River Mainstem Reservoir System (Reservoir System) experienced the largest volume of flood waters since the initiation of record-keeping in the nineteenth century. The high levels of runoff from both snowpack and rainfall stressed the Reservoir System’s capacity to control flood waters and caused massive damage and disruption along the river. The flooding and...
Authors
Adel E. Haj, Daniel E. Christiansen, Roland J. Viger
Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States
A hydrologic model of the Apalachicola–Chattahoochee–Flint River Basin (ACFB) has been developed as part of a U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center effort to provide integrated science that helps resource managers understand the effect of climate change on a range of ecosystem responses. The hydrologic model was developed as part of the...
Authors
Jacob H. LaFontaine, Lauren E. Hay, Roland J. Viger, Steve L. Markstrom, R. Steve Regan, Caroline M. Elliott, John Jones
U.S. Geological Survey core science systems strategy: characterizing, synthesizing, and understanding the critical zone through a modular science framework U.S. Geological Survey core science systems strategy: characterizing, synthesizing, and understanding the critical zone through a modular science framework
Executive Summary Core Science Systems is a new mission of the U.S. Geological Survey (USGS) that resulted from the 2007 Science Strategy, “Facing Tomorrow’s Challenges: U.S. Geological Survey Science in the Decade 2007–2017.” This report describes the Core Science Systems vision and outlines a strategy to facilitate integrated characterization and understanding of the complex Earth...
Authors
R. Sky Bristol, Ned H. Euliss, Nathaniel L. Booth, Nina Burkardt, Jay E. Diffendorfer, Dean B. Gesch, Brian E. McCallum, David M. Miller, Suzette A. Morman, Barbara S. Poore, Richard P. Signell, Roland J. Viger
By
Core Science Systems Mission Area, Science Synthesis, Analysis, and Research Program, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI), Earth Resources Observation and Science (EROS) Center , Geosciences and Environmental Change Science Center, Coastal Changes and Impacts