David L Blodgett
Dave is a hydro informatics specialist with the USGS Integrated Modeling and Prediction Division Geo-Intelligence Branch. He is currently working as a hydro-informatics lead accross the USGS Water Mission Area and the hydroscience community.
Dave holds a B.S. in civil and environmental engineering and an M.S. in water resources engineering form the UW-Madison. Dave started his career with the USGS in 2009 with a focus on hydrology and ecology modeling data. Within the USGS, Dave is a program manager for the Data Cyberinfrastructure and Information Delivery Program and pursues a mix of hydroinformatics research and software development tasks in his project work. Outside the USGS, Dave is a technical leader in Earth Science Information Partners Information Technology and Interoperability working group and the Open Geospatial Consortium hydrology domain working group.
Education and Certifications
University of Wisconsin Madison — BS Civil and Environmental Engineering 2002-2008
University of Wisconsin Madison — MS Water Resources Engineering 2008-2010
Affiliations and Memberships*
Co-Chair OGC/WMO Hydrology Domain Working Group
OGC Architecture Board Member
Technical Advisor to the 3D Hydrography Program Working Group
Standards Working Group Chair for OGC WaterML2 Part 3: Surface Water Hydrologic Features – HY_Features
NetCDF-CF Conventions Committee
Science and Products
Filter Total Items: 21
National Hydrologic Model v1.0 water budget components aggregated to 10 and 12-digit Hydrologic Unit Code boundaries National Hydrologic Model v1.0 water budget components aggregated to 10 and 12-digit Hydrologic Unit Code boundaries
This data release contains the output of the National Hydrologic Hydrologic Model (NHM) version 1.0 aggregated to twelve-digit and ten-digit Hydrologic Unit Code (HUC) boundaries contained in the NHDPlus v2.1 dataset. The data are intended to provide "local" water budgets for each HUC boundary as total aggregated streamflow across HUC boundaries is not included. The HUC boundaries are...
Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks (ver. 2.0, February 2023) Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks (ver. 2.0, February 2023)
The comid field of these data can be used to join to the NHDPlus version 2 flowline comid or catchment featureid attributes. The included attributes follow the same data model as the NHDPlusV2 but include numerous updates and improvements to network connectivity. All attributes that depend on network connectivity have been recalculated. These attributes are based on the National...
Mainstem Rivers of the Conterminous United States (ver. 2.0, February 2023) Mainstem Rivers of the Conterminous United States (ver. 2.0, February 2023)
Mainstem rivers are the backbone of a connected network of hydrologic units that cover the landscape. A mainstem connects a headwater source area to an outlet. This data release identifies the same mainstem paths in hydrographic datasets for the conterminous US. The Mainstems dataset includes cross walks between mainstem identifiers and several hydrographic datasets. These cross walk...
mainstems workflow: HU12 NHDPlusV2 NHDPlus HiRes Matching mainstems workflow: HU12 NHDPlusV2 NHDPlus HiRes Matching
HU12 NHDPlusV2 NHDPlus HiRes Matching The logic encoded in this repository is documented in: Blodgett, D., Johnson, J. M., Sondheim, M., Wieczorek, M., Frazier, N. (2021). Mainstems: A logical data model implementing mainstem and drainage basin feature types based on WaterML2 Part 3: HY Features concepts. Environmental Modelling and Software, 135. https://doi.org/10.1016/j.envsoft.2020...
Twelve-digit hydrologic unit total flow and snowmelt from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System, 1980-2016 Twelve-digit hydrologic unit total flow and snowmelt from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System, 1980-2016
This dataset is part of the National Water Census ongoing development of best estimates of daily historical water budgets for over 100,000 hydrologic units across the United States. In this release, estimates of total flow and snowmelt for each hydrologic unit are added to the already released estimates of actual evapotranspiration, snowpack water-equivalent storage, soil moisture...
Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks
The comid field of these data can be used to join to the NHDPlus version 2 flowline comid or catchment featureid attributes. The included attributes follow the same data model as the NHDPlusV2 but include numerous updates and improvements to network connectivity. All attributes that depend on network connectivity have been recalculated. These attributes are based on the National...
Filter Total Items: 17
Open hydrology courseware using the United States Geological Survey’s National Water Census Data Portal Open hydrology courseware using the United States Geological Survey’s National Water Census Data Portal
The U.S. Geological Survey (USGS) is the primary U.S. Government agency for water data collection and dissemination. In this role, the USGS has recently created and deployed a National Water Census Data Portal (NWC-DP) which provides access to streamflow, evapotransporation, precipitation, aquatic biology and other data at the national level. Recognizing the value of these data sets for...
Authors
Jake Nelson, Daniel P. Ames, David L. Blodgett
An analysis of water data systems to inform the Open Water Data Initiative An analysis of water data systems to inform the Open Water Data Initiative
Improving access to data and fostering open exchange of water information is foundational to solving water resources issues. In this vein, the Department of the Interior's Assistant Secretary for Water and Science put forward the charge to undertake an Open Water Data Initiative (OWDI) that would prioritize and accelerate work toward better water data infrastructure. The goal of the OWDI...
Authors
David L. Blodgett, Emily K. Read, Jessica M. Lucido, Tad Slawecki, Dwane Young
Progress on water data integration and distribution: a summary of select U.S. Geological Survey data systems Progress on water data integration and distribution: a summary of select U.S. Geological Survey data systems
Critical water-resources issues ranging from flood response to water scarcity make access to integrated water information, services, tools, and models essential. Since 1995 when the first water data web pages went online, the U.S. Geological Survey has been at the forefront of water data distribution and integration. Today, real-time and historical streamflow observations are available...
Authors
David L. Blodgett, Jessica M. Lucido, James M. Kreft
geoknife: Reproducible web-processing of large gridded datasets geoknife: Reproducible web-processing of large gridded datasets
Geoprocessing of large gridded data according to overlap with irregular landscape features is common to many large-scale ecological analyses. The geoknife R package was created to facilitate reproducible analyses of gridded datasets found on the U.S. Geological Survey Geo Data Portal web application or elsewhere, using a web-enabled workflow that eliminates the need to download and store...
Authors
Jordan S. Read, Jordan I. Walker, Alison P. Appling, David L. Blodgett, Emily K. Read, Luke A. Winslow
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
Science and Products
Filter Total Items: 21
National Hydrologic Model v1.0 water budget components aggregated to 10 and 12-digit Hydrologic Unit Code boundaries National Hydrologic Model v1.0 water budget components aggregated to 10 and 12-digit Hydrologic Unit Code boundaries
This data release contains the output of the National Hydrologic Hydrologic Model (NHM) version 1.0 aggregated to twelve-digit and ten-digit Hydrologic Unit Code (HUC) boundaries contained in the NHDPlus v2.1 dataset. The data are intended to provide "local" water budgets for each HUC boundary as total aggregated streamflow across HUC boundaries is not included. The HUC boundaries are...
Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks (ver. 2.0, February 2023) Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks (ver. 2.0, February 2023)
The comid field of these data can be used to join to the NHDPlus version 2 flowline comid or catchment featureid attributes. The included attributes follow the same data model as the NHDPlusV2 but include numerous updates and improvements to network connectivity. All attributes that depend on network connectivity have been recalculated. These attributes are based on the National...
Mainstem Rivers of the Conterminous United States (ver. 2.0, February 2023) Mainstem Rivers of the Conterminous United States (ver. 2.0, February 2023)
Mainstem rivers are the backbone of a connected network of hydrologic units that cover the landscape. A mainstem connects a headwater source area to an outlet. This data release identifies the same mainstem paths in hydrographic datasets for the conterminous US. The Mainstems dataset includes cross walks between mainstem identifiers and several hydrographic datasets. These cross walk...
mainstems workflow: HU12 NHDPlusV2 NHDPlus HiRes Matching mainstems workflow: HU12 NHDPlusV2 NHDPlus HiRes Matching
HU12 NHDPlusV2 NHDPlus HiRes Matching The logic encoded in this repository is documented in: Blodgett, D., Johnson, J. M., Sondheim, M., Wieczorek, M., Frazier, N. (2021). Mainstems: A logical data model implementing mainstem and drainage basin feature types based on WaterML2 Part 3: HY Features concepts. Environmental Modelling and Software, 135. https://doi.org/10.1016/j.envsoft.2020...
Twelve-digit hydrologic unit total flow and snowmelt from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System, 1980-2016 Twelve-digit hydrologic unit total flow and snowmelt from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System, 1980-2016
This dataset is part of the National Water Census ongoing development of best estimates of daily historical water budgets for over 100,000 hydrologic units across the United States. In this release, estimates of total flow and snowmelt for each hydrologic unit are added to the already released estimates of actual evapotranspiration, snowpack water-equivalent storage, soil moisture...
Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks
The comid field of these data can be used to join to the NHDPlus version 2 flowline comid or catchment featureid attributes. The included attributes follow the same data model as the NHDPlusV2 but include numerous updates and improvements to network connectivity. All attributes that depend on network connectivity have been recalculated. These attributes are based on the National...
Filter Total Items: 17
Open hydrology courseware using the United States Geological Survey’s National Water Census Data Portal Open hydrology courseware using the United States Geological Survey’s National Water Census Data Portal
The U.S. Geological Survey (USGS) is the primary U.S. Government agency for water data collection and dissemination. In this role, the USGS has recently created and deployed a National Water Census Data Portal (NWC-DP) which provides access to streamflow, evapotransporation, precipitation, aquatic biology and other data at the national level. Recognizing the value of these data sets for...
Authors
Jake Nelson, Daniel P. Ames, David L. Blodgett
An analysis of water data systems to inform the Open Water Data Initiative An analysis of water data systems to inform the Open Water Data Initiative
Improving access to data and fostering open exchange of water information is foundational to solving water resources issues. In this vein, the Department of the Interior's Assistant Secretary for Water and Science put forward the charge to undertake an Open Water Data Initiative (OWDI) that would prioritize and accelerate work toward better water data infrastructure. The goal of the OWDI...
Authors
David L. Blodgett, Emily K. Read, Jessica M. Lucido, Tad Slawecki, Dwane Young
Progress on water data integration and distribution: a summary of select U.S. Geological Survey data systems Progress on water data integration and distribution: a summary of select U.S. Geological Survey data systems
Critical water-resources issues ranging from flood response to water scarcity make access to integrated water information, services, tools, and models essential. Since 1995 when the first water data web pages went online, the U.S. Geological Survey has been at the forefront of water data distribution and integration. Today, real-time and historical streamflow observations are available...
Authors
David L. Blodgett, Jessica M. Lucido, James M. Kreft
geoknife: Reproducible web-processing of large gridded datasets geoknife: Reproducible web-processing of large gridded datasets
Geoprocessing of large gridded data according to overlap with irregular landscape features is common to many large-scale ecological analyses. The geoknife R package was created to facilitate reproducible analyses of gridded datasets found on the U.S. Geological Survey Geo Data Portal web application or elsewhere, using a web-enabled workflow that eliminates the need to download and store...
Authors
Jordan S. Read, Jordan I. Walker, Alison P. Appling, David L. Blodgett, Emily K. Read, Luke A. Winslow
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
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government