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Brad Williams

Brad is a Computer Scientist working for the USGS, Science Analytics and Synthesis, Advanced Research Computing team.

Science and Products

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USGS science for a changing world logo

National Stream Summarization: Standardizing Stream-Landscape Summaries

As research and management of natural resources shift from local to regional and national scales, the need for information about aquatic systems to be summarized to multiple scales is becoming more apparent. Recently, four federally funded national stream assessment efforts (USGS Aquatic GAP, USGS National Water-Quality Assessment Program, U.S. Environmental Protection Agency [EPA] StreamCat, and
By
Community for Data Integration (CDI)
link

National Stream Summarization: Standardizing Stream-Landscape Summaries

As research and management of natural resources shift from local to regional and national scales, the need for information about aquatic systems to be summarized to multiple scales is becoming more apparent. Recently, four federally funded national stream assessment efforts (USGS Aquatic GAP, USGS National Water-Quality Assessment Program, U.S. Environmental Protection Agency [EPA] StreamCat, and
Learn More

Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 -2015)

The U.S. Geological Survey (USGS) has developed and implemented an automated algorithm that identifies burned areas in temporally-dense time series of Landsat image stacks to produce the Landsat Burned Area Essential Climate Variable (BAECV) products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and
By
Geosciences and Environmental Change Science Center

Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States

Increasing global reliance on stormwater control measures to reduce discharge to surface water, increase groundwater recharge, and minimize contaminant delivery to receiving waterbodies necessitates improved understanding of stormwater-contaminant profiles. A multi-agency study of organic and inorganic chemicals in urban stormwater from 50 runoff events at 21 sites across the United States demonst
Authors
Jason R. Masoner, Dana W. Kolpin, Isabelle M. Cozzarelli, Larry B. Barber, D.S. Burden, William T. Foreman, Kenneth J. Forshay, Edward Furlong, Justin F. Groves, Michelle Hladik, Matthew E. Hopton, Jeanne B. Jaeschke, Steffanie H. Keefe, David Krabbenhoft, Richard Lowrance, Kristin Romanok, David L. Rus, William R. Selbig, Brad Williams, Paul Bradley
By
Water Resources Mission Area, Science Synthesis, Analysis and Research Program, Contaminant Biology, Science Analytics and Synthesis (SAS) Program, Toxic Substances Hydrology, California Water Science Center, Central Midwest Water Science Center, New Jersey Water Science Center, Oklahoma-Texas Water Science Center, South Atlantic Water Science Center (SAWSC), Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Reston Biogeochemical Processes in Groundwater Laboratory

Mapping burned areas using dense time-series of Landsat data

Complete and accurate burned area data are needed to document patterns of fires, to quantify relationships between the patterns and drivers of fire occurrence, and to assess the impacts of fires on human and natural systems. Unfortunately, in many areas existing fire occurrence datasets are known to be incomplete. Consequently, the need to systematically collect burned area information has been re
Authors
Todd Hawbaker, Melanie K. Vanderhoof, Yen-Ju G. Beal, Joshua Takacs, Gail L. Schmidt, Jeff T. Falgout, Brad Williams, Nicole M. Brunner, Megan K. Caldwell, Joshua J. Picotte, Stephen M. Howard, Susan Stitt, John L. Dwyer
By
Science Synthesis, Analysis and Research Program, Groundwater and Streamflow Information Program, Science Analytics and Synthesis (SAS) Program, Earth Resources Observation and Science (EROS) Center , Geosciences and Environmental Change Science Center, Advanced Research Computing (ARC)

Community for Data Integration 2016 annual report

The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other CDI-sponso
Authors
Madison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-Myers
By
Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI), Earth Resources Observation and Science (EROS) Center , Science Data Management

xstrm

Python package to assist with stream network summarization. This package is intended to support efforts for any stream network having general topology (i.e. to/from nodes). Specifically this package was built to support fisheries based analyses using multiple versions of the National Hydrography Database Plus (NHDPlus) representing streams within the United States along with HydroBasins which repr
By
Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI)

Science and Products

link
USGS science for a changing world logo

National Stream Summarization: Standardizing Stream-Landscape Summaries

As research and management of natural resources shift from local to regional and national scales, the need for information about aquatic systems to be summarized to multiple scales is becoming more apparent. Recently, four federally funded national stream assessment efforts (USGS Aquatic GAP, USGS National Water-Quality Assessment Program, U.S. Environmental Protection Agency [EPA] StreamCat, and
By
Community for Data Integration (CDI)
link

National Stream Summarization: Standardizing Stream-Landscape Summaries

As research and management of natural resources shift from local to regional and national scales, the need for information about aquatic systems to be summarized to multiple scales is becoming more apparent. Recently, four federally funded national stream assessment efforts (USGS Aquatic GAP, USGS National Water-Quality Assessment Program, U.S. Environmental Protection Agency [EPA] StreamCat, and
Learn More

Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 -2015)

The U.S. Geological Survey (USGS) has developed and implemented an automated algorithm that identifies burned areas in temporally-dense time series of Landsat image stacks to produce the Landsat Burned Area Essential Climate Variable (BAECV) products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and
By
Geosciences and Environmental Change Science Center

Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States

Increasing global reliance on stormwater control measures to reduce discharge to surface water, increase groundwater recharge, and minimize contaminant delivery to receiving waterbodies necessitates improved understanding of stormwater-contaminant profiles. A multi-agency study of organic and inorganic chemicals in urban stormwater from 50 runoff events at 21 sites across the United States demonst
Authors
Jason R. Masoner, Dana W. Kolpin, Isabelle M. Cozzarelli, Larry B. Barber, D.S. Burden, William T. Foreman, Kenneth J. Forshay, Edward Furlong, Justin F. Groves, Michelle Hladik, Matthew E. Hopton, Jeanne B. Jaeschke, Steffanie H. Keefe, David Krabbenhoft, Richard Lowrance, Kristin Romanok, David L. Rus, William R. Selbig, Brad Williams, Paul Bradley
By
Water Resources Mission Area, Science Synthesis, Analysis and Research Program, Contaminant Biology, Science Analytics and Synthesis (SAS) Program, Toxic Substances Hydrology, California Water Science Center, Central Midwest Water Science Center, New Jersey Water Science Center, Oklahoma-Texas Water Science Center, South Atlantic Water Science Center (SAWSC), Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Reston Biogeochemical Processes in Groundwater Laboratory

Mapping burned areas using dense time-series of Landsat data

Complete and accurate burned area data are needed to document patterns of fires, to quantify relationships between the patterns and drivers of fire occurrence, and to assess the impacts of fires on human and natural systems. Unfortunately, in many areas existing fire occurrence datasets are known to be incomplete. Consequently, the need to systematically collect burned area information has been re
Authors
Todd Hawbaker, Melanie K. Vanderhoof, Yen-Ju G. Beal, Joshua Takacs, Gail L. Schmidt, Jeff T. Falgout, Brad Williams, Nicole M. Brunner, Megan K. Caldwell, Joshua J. Picotte, Stephen M. Howard, Susan Stitt, John L. Dwyer
By
Science Synthesis, Analysis and Research Program, Groundwater and Streamflow Information Program, Science Analytics and Synthesis (SAS) Program, Earth Resources Observation and Science (EROS) Center , Geosciences and Environmental Change Science Center, Advanced Research Computing (ARC)

Community for Data Integration 2016 annual report

The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other CDI-sponso
Authors
Madison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-Myers
By
Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI), Earth Resources Observation and Science (EROS) Center , Science Data Management

xstrm

Python package to assist with stream network summarization. This package is intended to support efforts for any stream network having general topology (i.e. to/from nodes). Specifically this package was built to support fisheries based analyses using multiple versions of the National Hydrography Database Plus (NHDPlus) representing streams within the United States along with HydroBasins which repr
By
Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI)
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