Michael E Wieczorek
Michael Wieczorek is a Geographer/GIS specialist for the Water Mission Area's Data Driven Drought Prediction Program and the National Hydrologic Geospatial Fabric Team.
Michael Wieczorek holds a B.S. in Geography from Towson State University (1991). He joined the U.S. Geological survey in 1992 as a GIS specialist for the National Water Quality Program working in that capacity to 2016. He is currently a GIS specialist for the Water Mission Area's Data Driven Drought Prediction Program and the National Hydrologic Geospatial Fabric Team.
Professional Experience
During his 28 year USGS career, Mike has provided GIS technical support applying his spatial skills to projects ranging in scale from local water-quality studies to landscape characterization for national-scale analysis and modeling.
Education and Certifications
M.S. Program in Geography (attended), University of Wisconsin at Milwaukee, 1992-1993
M.S. Program in Geography (attended), Watershed Analysis and Spatial Analysis, University of Nebraska-Lincoln
B.S. in Geography and History, Towson University, 1991
Science and Products
GIS & Dataset Capabilities @ MD-DE-DC
Using machine learning to map topographic-soil & densely-patterned sub-surface agricultural drainage (tile drains) from satellite imagery
National Stream Summarization: Standardizing Stream-Landscape Summaries
Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Riparian National Land Cover Data for 2019 Versions for the Years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Riparian National Land Cover Data for 2019 Versions for the Years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019
USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data
Low-Flow Period Seasonality, Trends, and Climate Linkages Across the United States Data Release Low-Flow Period Seasonality, Trends, and Climate Linkages Across the United States Data Release
USGS Streamgages in the Conterminous United States Indexed to NHDPlus v2.1 Flowlines to Support Streamgage Watershed InforMation (SWIM), 2021 USGS Streamgages in the Conterminous United States Indexed to NHDPlus v2.1 Flowlines to Support Streamgage Watershed InforMation (SWIM), 2021
Daily average soil moisture and ancillary data from the Noah land surface model in the National Land Data Assimilation version 2 extracted for GAGES-II watersheds, 1980 to 2020 Daily average soil moisture and ancillary data from the Noah land surface model in the National Land Data Assimilation version 2 extracted for GAGES-II watersheds, 1980 to 2020
Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portions of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins (ver. 2.0, July 2025) Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portions of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins (ver. 2.0, July 2025)
Michael Weiczorek has written or contributed to many publications for the USGS. The contents here represent some of his work.
Machine learning generated streamflow drought forecasts for the conterminous United States (CONUS): developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations Machine learning generated streamflow drought forecasts for the conterminous United States (CONUS): developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations
Machine learning generated streamflow drought forecasts for the Conterminous United States (CONUS): Developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations Machine learning generated streamflow drought forecasts for the Conterminous United States (CONUS): Developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations
Low-flow period seasonality, trends, and climate linkages across the United States Low-flow period seasonality, trends, and climate linkages across the United States
Regional streamflow drought forecasting in the Colorado River Basin using Deep Neural Network models Regional streamflow drought forecasting in the Colorado River Basin using Deep Neural Network models
Predicting baseflow recession characteristics at ungauged stream locations using a physical and machine learning approach Predicting baseflow recession characteristics at ungauged stream locations using a physical and machine learning approach
Going beyond low flows: Streamflow drought deficit and duration illuminate distinct spatiotemporal drought patterns and trends in the U.S. during the last century Going beyond low flows: Streamflow drought deficit and duration illuminate distinct spatiotemporal drought patterns and trends in the U.S. during the last century
xstrm_local xstrm_local
Science and Products
GIS & Dataset Capabilities @ MD-DE-DC
Using machine learning to map topographic-soil & densely-patterned sub-surface agricultural drainage (tile drains) from satellite imagery
National Stream Summarization: Standardizing Stream-Landscape Summaries
Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Riparian National Land Cover Data for 2019 Versions for the Years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Riparian National Land Cover Data for 2019 Versions for the Years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019
USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data
Low-Flow Period Seasonality, Trends, and Climate Linkages Across the United States Data Release Low-Flow Period Seasonality, Trends, and Climate Linkages Across the United States Data Release
USGS Streamgages in the Conterminous United States Indexed to NHDPlus v2.1 Flowlines to Support Streamgage Watershed InforMation (SWIM), 2021 USGS Streamgages in the Conterminous United States Indexed to NHDPlus v2.1 Flowlines to Support Streamgage Watershed InforMation (SWIM), 2021
Daily average soil moisture and ancillary data from the Noah land surface model in the National Land Data Assimilation version 2 extracted for GAGES-II watersheds, 1980 to 2020 Daily average soil moisture and ancillary data from the Noah land surface model in the National Land Data Assimilation version 2 extracted for GAGES-II watersheds, 1980 to 2020
Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portions of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins (ver. 2.0, July 2025) Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portions of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins (ver. 2.0, July 2025)
Michael Weiczorek has written or contributed to many publications for the USGS. The contents here represent some of his work.