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Leah E. Staub

Leah primarily works in the MD-DE-DC Water Science Center's Sediment Lab, processing both Fluvial and Source samples for Sediment Fingerprinting analysis. She has also surveyed stream cross sections with total station, provided map products using R, ArcMap, QGIS, and GEE, and assisted with Science Base data releases. 

Education

B.S. in Geography & Environmental Science from University of Maryland, Baltimore County, 2020

GIScience Certification from University of Maryland, Baltimore County, 2020

 

Publications

Cashman, M.J., Brosnahan, S.M., Caldwell, S.H., Staub, L.E., DeWitt, J., Young, J., Duda, J., and Griese, A.J., 2020, Low-altitude aerial imagery from unmanned aerial systems (UAS) at select locations over the Potomac River, October 2019: U.S. Geological Survey data release, https://doi.org/10.5066/Q7DP970E.

 

Honors & Awards

USGS STAR Award 2020

Science and Products

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

This tabular data set represents the percent of land cover classes in the riparian zone from the 2019 edition of the National Land Cover databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016 and 2019 compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments...
By
Maryland-Delaware-D.C. Water Science Center

Urban elemental and grain size characteristics of sediments collected in the Jones Falls watershed in Baltimore, Maryland for 2021-2022 Urban elemental and grain size characteristics of sediments collected in the Jones Falls watershed in Baltimore, Maryland for 2021-2022

This metadata record documents a single comma delimited table that contains information on the elemental composition and particle size distribution of sediments within Jones Falls watershed in Baltimore, Maryland.
By
Maryland-Delaware-D.C. Water Science Center

Shenandoah Valley Stream Habitat and Riparian Assessments in West Virginia and Virginia, 2021 (ver. 3.0, December 2025) Shenandoah Valley Stream Habitat and Riparian Assessments in West Virginia and Virginia, 2021 (ver. 3.0, December 2025)

U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 26th of July to the 13th of August in 2021, using various methods to record geomorphic and habitat indicators throughout streams in the Shenandoah Valley. Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and riparian analyses. This metadata record...
By
Maryland-Delaware-D.C. Water Science Center

Terrestrial LiDAR Point Clouds and Channel Morphology Assessments along Midway Branch in Fort Meade, Maryland, for 2020-2022 Terrestrial LiDAR Point Clouds and Channel Morphology Assessments along Midway Branch in Fort Meade, Maryland, for 2020-2022

This metadata record documents six LiDAR point clouds, six point cloud generation reports, and three comma-delimited tables that contain information on local channel morphology and topography for a select number of reaches along Midway Branch and its associated tributaries within the confines of Fort George G. Meade, Fort Meade, Maryland. Point cloud generation reports include diagnostic
By
Maryland-Delaware-D.C. Water Science Center

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)

This metadata record describes a series of data sets of natural, climatic, and anthropogenic landscape features processed as model inputs for the Data-Driven Drought Prediction Project of the Water Resources Mission Area Drought Program. These data are linked to two different spatial units: the National Hydrologic Geospatial Fabric version 1.1 (nhgfv1.1) including their associated...
By
Maryland-Delaware-D.C. Water Science Center

Federal Stakeholder 2022 Online Survey Results for the Re-Prioritization of the USGS Federal Priority Streamgage Network Federal Stakeholder 2022 Online Survey Results for the Re-Prioritization of the USGS Federal Priority Streamgage Network

This data release has the results of 333 online survey respondents representing 17 federal agencies and 7 Executive Branch departments from March 14 through April 14, 2022 regarding The Federal Priority Streamgage (FPS) network of the U.S. Geological Survey (USGS). The FPS network was created in 1999 as the National Streamflow Information Program and receives congressionally appropriated...
By
Water Resources Mission Area

Possible Cattle Access Points on Select Streams within the Smith Creek Watershed Derived from 2018 NAIP Imagery Possible Cattle Access Points on Select Streams within the Smith Creek Watershed Derived from 2018 NAIP Imagery

This data release contains one shapefile describing cattle access to a total of 36 different sub basins within the Smith Creek Watershed located in Virginia and West Virginia. This data release identifies areas in satellite imagery where cattle were observed to have access to the stream (confirmed access), areas where cattle exist, and are not fenced off from the stream (unrestricted...
By
Maryland-Delaware-D.C. Water Science Center

Sediment Sample Data for Identifying and Monitoring Source Sediment Fingerprints within Stony Clove Creek, Catskills, NY from 2017 to 2020 Sediment Sample Data for Identifying and Monitoring Source Sediment Fingerprints within Stony Clove Creek, Catskills, NY from 2017 to 2020

This data release includes five comma delimited tables that support a pilot study on identifying and monitoring source sediment fingerprints within Stony Clove Creek, Catskills, NY. These tables consist of sediment particle size information, elemental analysis results, stable isotope analysis results, and percent fines for the samples collected. "SourceSamples_Info.csv" and...
By
Maryland-Delaware-D.C. Water Science Center

Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Water Model Retrospective (v2.1) at benchmark streamflow locations (ver. 2.0, December 2022) Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Water Model Retrospective (v2.1) at benchmark streamflow locations (ver. 2.0, December 2022)

This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Water Model Retrospective (v2.1) at streamflow benchmark locations (version 1.0) as defined by Foks and others (2022). Modeled hourly timesteps were converted to mean daily timesteps. Model error was determined by evaluating predicted daily mean...
By
Water Resources Mission Area

Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations in the conterminous Un Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations in the conterminous Un

This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Hydrologic Model Infrastructure application of the Precipitation-Runoff Modeling System (NHM-PRMS) version 1 "byObs" calibration with Muskingum routing computed at streamflow benchmark locations defined by Foks and others (2022). Model error was...
By
Water Resources Mission Area

Possible Cattle Access Points on Steams within the USGS Showcase Watersheds Derived from 2018 and 2019 NAIP Imagery Possible Cattle Access Points on Steams within the USGS Showcase Watersheds Derived from 2018 and 2019 NAIP Imagery

This data release contains one point shapefile describing cattle access to streams for three USGS showcase watersheds: Smith Creek, Conewago Creek, and Upper Chester River. This data release identifies areas where cattle were able to access the stream, as well as possible cattle access areas. Streams were defined using a combination of geospatial data and aerial imagery and cattle access...
By
Maryland-Delaware-D.C. Water Science Center

Low-altitude aerial imagery from unmanned aerial systems (UAS) at select locations over the Potomac River, October 2019 Low-altitude aerial imagery from unmanned aerial systems (UAS) at select locations over the Potomac River, October 2019

These digital images were taken at select locations over the Potomac River using 3DR Solo unmanned aircraft systems (UAS) in October 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a Ricoh GRII digital camera for natural color photos, used to produce...
By
Maryland-Delaware-D.C. Water Science Center
alt text
U.S. Geological Survey scientist measuring stream habitat
U.S. Geological Survey scientist measuring stream habitat
alt text

U.S. Geological Survey scientist measuring stream habitat

U.S. Geological Survey scientist measuring stream habitat

U.S. Geological Survey scientist measuring stream habitat

By
Chesapeake Bay Activities, Maryland-Delaware-D.C. Water Science Center
alt text

U.S. Geological Survey scientist measuring stream habitat

U.S. Geological Survey scientist measuring stream habitat

U.S. Geological Survey scientist measuring stream habitat

By
Chesapeake Bay Activities, Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 2 Episode 1 Thumbnail USGS On The Road Season 2 Episode 1 Thumbnail
USGS on the Road: Home Stream Home
USGS On The Road Season 2 Episode 1 Thumbnail

USGS on the Road: Home Stream Home

USGS on the Road: Home Stream Home

Physical Scientists Leah Staub and Zachary Clifton assess a stream along the Chesterville Branch on the Eastern shore of Maryland.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 2 Episode 1 Thumbnail

USGS on the Road: Home Stream Home

USGS on the Road: Home Stream Home

Physical Scientists Leah Staub and Zachary Clifton assess a stream along the Chesterville Branch on the Eastern shore of Maryland.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 2 Episode 1 AD Thumbnail USGS On The Road Season 2 Episode 1 AD Thumbnail
USGS on the Road: Home Stream Home (AD)
USGS On The Road Season 2 Episode 1 AD Thumbnail

USGS on the Road: Home Stream Home (AD)

USGS on the Road: Home Stream Home (AD)

Physical Scientists Leah Staub and Zachary Clifton assess a stream along the Chesterville Branch on the Eastern shore of Maryland.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 2 Episode 1 AD Thumbnail

USGS on the Road: Home Stream Home (AD)

USGS on the Road: Home Stream Home (AD)

Physical Scientists Leah Staub and Zachary Clifton assess a stream along the Chesterville Branch on the Eastern shore of Maryland.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 1 Episode 2 AD Thumbnail USGS On The Road Season 1 Episode 2 AD Thumbnail
Sediment Fingerprinting in Langdon Park (AD)
USGS On The Road Season 1 Episode 2 AD Thumbnail

Sediment Fingerprinting in Langdon Park (AD)

Sediment Fingerprinting in Langdon Park (AD)

It’s not just the big rivers and streams. USGS MD-DE-DC Water Science Center scientists also collect samples from local parks. Zach and Leah collect sediment auger samples from Langdon Park in Washington DC as part of a study to find the sources of sediment runoff.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 1 Episode 2 AD Thumbnail

Sediment Fingerprinting in Langdon Park (AD)

Sediment Fingerprinting in Langdon Park (AD)

It’s not just the big rivers and streams. USGS MD-DE-DC Water Science Center scientists also collect samples from local parks. Zach and Leah collect sediment auger samples from Langdon Park in Washington DC as part of a study to find the sources of sediment runoff.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 1 Episode 2 Thumbnail USGS On The Road Season 1 Episode 2 Thumbnail
Sediment Fingerprinting in Langdon Park
USGS On The Road Season 1 Episode 2 Thumbnail

Sediment Fingerprinting in Langdon Park

Sediment Fingerprinting in Langdon Park

It’s not just the big rivers and streams. USGS MD-DE-DC Water Science Center scientists also collect samples from local parks. Zach and Leah collect sediment auger samples from Langdon Park in Washington DC as part of a study to find the sources of sediment runoff.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 1 Episode 2 Thumbnail

Sediment Fingerprinting in Langdon Park

Sediment Fingerprinting in Langdon Park

It’s not just the big rivers and streams. USGS MD-DE-DC Water Science Center scientists also collect samples from local parks. Zach and Leah collect sediment auger samples from Langdon Park in Washington DC as part of a study to find the sources of sediment runoff.

By
Maryland-Delaware-D.C. Water Science Center

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

Forecasts of streamflow drought, when streamflow declines below typical levels, are notably less available than for floods or meteorological drought, despite widespread impacts. We apply machine learning (ML) models to forecast streamflow drought 1–13 weeks ahead at 3,219 streamgages across the conterminous United States. We applied two ML methods (Long short-term memory neural networks...
Authors
John C. Hammond, Phillip J. Goodling, Jeremy Alejandro Diaz, Hayley R. Corson-Dosch, Aaron Joseph Heldmyer, Scott Douglas Hamshaw, Ryan R. McShane, Jesse Cleveland Ross, Roy Sando, Caelan Simeone, Erik A. Smith, Leah Ellen Staub, David Watkins, Michael Wieczorek, Kendall C. Wnuk, Jacob Aaron Zwart
By
Maryland-Delaware-D.C. Water Science Center

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

Forecasts of streamflow drought, when streamflow declines below typical levels, are notably less available than for floods or meteorological drought, despite widespread impacts. To address this gap, we apply machine learning (ML) models to forecast streamflow drought 1-13 weeks into the future at > 3,000 streamgage locations across the conterminous United States (CONUS). We applied two...
Authors
John C. Hammond, Phillip J. Goodling, Jeremy Alejandro Diaz, Hayley R. Corson-Dosch, Aaron Joseph Heldmyer, Scott Douglas Hamshaw, Ryan R. McShane, Jesse Cleveland Ross, Roy Sando, Caelan Simeone, Erik Smith, Leah Ellen Staub, David Watkins, Michael Wieczorek, Kendall C. Wnuk, Jacob Aaron Zwart
By
Maryland-Delaware-D.C. Water Science Center

Physical habitat is more than a sediment issue: A multi-dimensional habitat assessment indicates new approaches for river management Physical habitat is more than a sediment issue: A multi-dimensional habitat assessment indicates new approaches for river management

Degraded physical habitat is a common stressor affecting river ecosystems and typically addressed in the United States (US) through a regulatory focus on sediment. However, a narrow regulatory focus on sediment may overlook other aspects of physical habitat and the processes for its creation, maintenance, and degradation. In addition, there exist few “ready-to-use” regional assessments...
Authors
Matthew J. Cashman, Gina Lee, Leah Ellen Staub, Michelle P. Katoski, Kelly O. Maloney
By
Water Resources Mission Area, Chesapeake Bay Activities

Examining terrestrial and subterranean sediment sources and transport processes in an urban sewershed with an entirely buried stream network, Washington, D.C., United States Examining terrestrial and subterranean sediment sources and transport processes in an urban sewershed with an entirely buried stream network, Washington, D.C., United States

Excessive fine-grained sediment runoff due to anthropogenic activities is a major environmental concern for watersheds worldwide, especially so for urban areas such as Washington, D.C. Dated grey infrastructure, i.e., the network of buried pipes and reservoirs managing water resources, can amplify existing issues with sediment runoff and associated pollutants. This infrastructure, which...
Authors
Zachary J. Clifton, Allen C. Gellis, Leah Ellen Staub, Matthew J. Cashman, Christopher H. Conaway, Cecilia Lane, David Pilat
By
Maryland-Delaware-D.C. Water Science Center
MD-DE-DC WSC Capabilities Sites

MD-DE-DC WSC Capabilities Sites

Explore the MD-DE-DC Water Science Center's expertise and capabilities. We work with federal, state, and local governments, universities, and non...

Read Article

Science and Products

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

This tabular data set represents the percent of land cover classes in the riparian zone from the 2019 edition of the National Land Cover databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016 and 2019 compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments...
By
Maryland-Delaware-D.C. Water Science Center

Urban elemental and grain size characteristics of sediments collected in the Jones Falls watershed in Baltimore, Maryland for 2021-2022 Urban elemental and grain size characteristics of sediments collected in the Jones Falls watershed in Baltimore, Maryland for 2021-2022

This metadata record documents a single comma delimited table that contains information on the elemental composition and particle size distribution of sediments within Jones Falls watershed in Baltimore, Maryland.
By
Maryland-Delaware-D.C. Water Science Center

Shenandoah Valley Stream Habitat and Riparian Assessments in West Virginia and Virginia, 2021 (ver. 3.0, December 2025) Shenandoah Valley Stream Habitat and Riparian Assessments in West Virginia and Virginia, 2021 (ver. 3.0, December 2025)

U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 26th of July to the 13th of August in 2021, using various methods to record geomorphic and habitat indicators throughout streams in the Shenandoah Valley. Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and riparian analyses. This metadata record...
By
Maryland-Delaware-D.C. Water Science Center

Terrestrial LiDAR Point Clouds and Channel Morphology Assessments along Midway Branch in Fort Meade, Maryland, for 2020-2022 Terrestrial LiDAR Point Clouds and Channel Morphology Assessments along Midway Branch in Fort Meade, Maryland, for 2020-2022

This metadata record documents six LiDAR point clouds, six point cloud generation reports, and three comma-delimited tables that contain information on local channel morphology and topography for a select number of reaches along Midway Branch and its associated tributaries within the confines of Fort George G. Meade, Fort Meade, Maryland. Point cloud generation reports include diagnostic
By
Maryland-Delaware-D.C. Water Science Center

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)

This metadata record describes a series of data sets of natural, climatic, and anthropogenic landscape features processed as model inputs for the Data-Driven Drought Prediction Project of the Water Resources Mission Area Drought Program. These data are linked to two different spatial units: the National Hydrologic Geospatial Fabric version 1.1 (nhgfv1.1) including their associated...
By
Maryland-Delaware-D.C. Water Science Center

Federal Stakeholder 2022 Online Survey Results for the Re-Prioritization of the USGS Federal Priority Streamgage Network Federal Stakeholder 2022 Online Survey Results for the Re-Prioritization of the USGS Federal Priority Streamgage Network

This data release has the results of 333 online survey respondents representing 17 federal agencies and 7 Executive Branch departments from March 14 through April 14, 2022 regarding The Federal Priority Streamgage (FPS) network of the U.S. Geological Survey (USGS). The FPS network was created in 1999 as the National Streamflow Information Program and receives congressionally appropriated...
By
Water Resources Mission Area

Possible Cattle Access Points on Select Streams within the Smith Creek Watershed Derived from 2018 NAIP Imagery Possible Cattle Access Points on Select Streams within the Smith Creek Watershed Derived from 2018 NAIP Imagery

This data release contains one shapefile describing cattle access to a total of 36 different sub basins within the Smith Creek Watershed located in Virginia and West Virginia. This data release identifies areas in satellite imagery where cattle were observed to have access to the stream (confirmed access), areas where cattle exist, and are not fenced off from the stream (unrestricted...
By
Maryland-Delaware-D.C. Water Science Center

Sediment Sample Data for Identifying and Monitoring Source Sediment Fingerprints within Stony Clove Creek, Catskills, NY from 2017 to 2020 Sediment Sample Data for Identifying and Monitoring Source Sediment Fingerprints within Stony Clove Creek, Catskills, NY from 2017 to 2020

This data release includes five comma delimited tables that support a pilot study on identifying and monitoring source sediment fingerprints within Stony Clove Creek, Catskills, NY. These tables consist of sediment particle size information, elemental analysis results, stable isotope analysis results, and percent fines for the samples collected. "SourceSamples_Info.csv" and...
By
Maryland-Delaware-D.C. Water Science Center

Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Water Model Retrospective (v2.1) at benchmark streamflow locations (ver. 2.0, December 2022) Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Water Model Retrospective (v2.1) at benchmark streamflow locations (ver. 2.0, December 2022)

This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Water Model Retrospective (v2.1) at streamflow benchmark locations (version 1.0) as defined by Foks and others (2022). Modeled hourly timesteps were converted to mean daily timesteps. Model error was determined by evaluating predicted daily mean...
By
Water Resources Mission Area

Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations in the conterminous Un Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations in the conterminous Un

This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Hydrologic Model Infrastructure application of the Precipitation-Runoff Modeling System (NHM-PRMS) version 1 "byObs" calibration with Muskingum routing computed at streamflow benchmark locations defined by Foks and others (2022). Model error was...
By
Water Resources Mission Area

Possible Cattle Access Points on Steams within the USGS Showcase Watersheds Derived from 2018 and 2019 NAIP Imagery Possible Cattle Access Points on Steams within the USGS Showcase Watersheds Derived from 2018 and 2019 NAIP Imagery

This data release contains one point shapefile describing cattle access to streams for three USGS showcase watersheds: Smith Creek, Conewago Creek, and Upper Chester River. This data release identifies areas where cattle were able to access the stream, as well as possible cattle access areas. Streams were defined using a combination of geospatial data and aerial imagery and cattle access...
By
Maryland-Delaware-D.C. Water Science Center

Low-altitude aerial imagery from unmanned aerial systems (UAS) at select locations over the Potomac River, October 2019 Low-altitude aerial imagery from unmanned aerial systems (UAS) at select locations over the Potomac River, October 2019

These digital images were taken at select locations over the Potomac River using 3DR Solo unmanned aircraft systems (UAS) in October 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a Ricoh GRII digital camera for natural color photos, used to produce...
By
Maryland-Delaware-D.C. Water Science Center
alt text
U.S. Geological Survey scientist measuring stream habitat
U.S. Geological Survey scientist measuring stream habitat
alt text

U.S. Geological Survey scientist measuring stream habitat

U.S. Geological Survey scientist measuring stream habitat

U.S. Geological Survey scientist measuring stream habitat

By
Chesapeake Bay Activities, Maryland-Delaware-D.C. Water Science Center
alt text

U.S. Geological Survey scientist measuring stream habitat

U.S. Geological Survey scientist measuring stream habitat

U.S. Geological Survey scientist measuring stream habitat

By
Chesapeake Bay Activities, Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 2 Episode 1 Thumbnail USGS On The Road Season 2 Episode 1 Thumbnail
USGS on the Road: Home Stream Home
USGS On The Road Season 2 Episode 1 Thumbnail

USGS on the Road: Home Stream Home

USGS on the Road: Home Stream Home

Physical Scientists Leah Staub and Zachary Clifton assess a stream along the Chesterville Branch on the Eastern shore of Maryland.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 2 Episode 1 Thumbnail

USGS on the Road: Home Stream Home

USGS on the Road: Home Stream Home

Physical Scientists Leah Staub and Zachary Clifton assess a stream along the Chesterville Branch on the Eastern shore of Maryland.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 2 Episode 1 AD Thumbnail USGS On The Road Season 2 Episode 1 AD Thumbnail
USGS on the Road: Home Stream Home (AD)
USGS On The Road Season 2 Episode 1 AD Thumbnail

USGS on the Road: Home Stream Home (AD)

USGS on the Road: Home Stream Home (AD)

Physical Scientists Leah Staub and Zachary Clifton assess a stream along the Chesterville Branch on the Eastern shore of Maryland.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 2 Episode 1 AD Thumbnail

USGS on the Road: Home Stream Home (AD)

USGS on the Road: Home Stream Home (AD)

Physical Scientists Leah Staub and Zachary Clifton assess a stream along the Chesterville Branch on the Eastern shore of Maryland.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 1 Episode 2 AD Thumbnail USGS On The Road Season 1 Episode 2 AD Thumbnail
Sediment Fingerprinting in Langdon Park (AD)
USGS On The Road Season 1 Episode 2 AD Thumbnail

Sediment Fingerprinting in Langdon Park (AD)

Sediment Fingerprinting in Langdon Park (AD)

It’s not just the big rivers and streams. USGS MD-DE-DC Water Science Center scientists also collect samples from local parks. Zach and Leah collect sediment auger samples from Langdon Park in Washington DC as part of a study to find the sources of sediment runoff.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 1 Episode 2 AD Thumbnail

Sediment Fingerprinting in Langdon Park (AD)

Sediment Fingerprinting in Langdon Park (AD)

It’s not just the big rivers and streams. USGS MD-DE-DC Water Science Center scientists also collect samples from local parks. Zach and Leah collect sediment auger samples from Langdon Park in Washington DC as part of a study to find the sources of sediment runoff.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 1 Episode 2 Thumbnail USGS On The Road Season 1 Episode 2 Thumbnail
Sediment Fingerprinting in Langdon Park
USGS On The Road Season 1 Episode 2 Thumbnail

Sediment Fingerprinting in Langdon Park

Sediment Fingerprinting in Langdon Park

It’s not just the big rivers and streams. USGS MD-DE-DC Water Science Center scientists also collect samples from local parks. Zach and Leah collect sediment auger samples from Langdon Park in Washington DC as part of a study to find the sources of sediment runoff.

By
Maryland-Delaware-D.C. Water Science Center
USGS On The Road Season 1 Episode 2 Thumbnail

Sediment Fingerprinting in Langdon Park

Sediment Fingerprinting in Langdon Park

It’s not just the big rivers and streams. USGS MD-DE-DC Water Science Center scientists also collect samples from local parks. Zach and Leah collect sediment auger samples from Langdon Park in Washington DC as part of a study to find the sources of sediment runoff.

By
Maryland-Delaware-D.C. Water Science Center

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

Forecasts of streamflow drought, when streamflow declines below typical levels, are notably less available than for floods or meteorological drought, despite widespread impacts. We apply machine learning (ML) models to forecast streamflow drought 1–13 weeks ahead at 3,219 streamgages across the conterminous United States. We applied two ML methods (Long short-term memory neural networks...
Authors
John C. Hammond, Phillip J. Goodling, Jeremy Alejandro Diaz, Hayley R. Corson-Dosch, Aaron Joseph Heldmyer, Scott Douglas Hamshaw, Ryan R. McShane, Jesse Cleveland Ross, Roy Sando, Caelan Simeone, Erik A. Smith, Leah Ellen Staub, David Watkins, Michael Wieczorek, Kendall C. Wnuk, Jacob Aaron Zwart
By
Maryland-Delaware-D.C. Water Science Center

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

Forecasts of streamflow drought, when streamflow declines below typical levels, are notably less available than for floods or meteorological drought, despite widespread impacts. To address this gap, we apply machine learning (ML) models to forecast streamflow drought 1-13 weeks into the future at > 3,000 streamgage locations across the conterminous United States (CONUS). We applied two...
Authors
John C. Hammond, Phillip J. Goodling, Jeremy Alejandro Diaz, Hayley R. Corson-Dosch, Aaron Joseph Heldmyer, Scott Douglas Hamshaw, Ryan R. McShane, Jesse Cleveland Ross, Roy Sando, Caelan Simeone, Erik Smith, Leah Ellen Staub, David Watkins, Michael Wieczorek, Kendall C. Wnuk, Jacob Aaron Zwart
By
Maryland-Delaware-D.C. Water Science Center

Physical habitat is more than a sediment issue: A multi-dimensional habitat assessment indicates new approaches for river management Physical habitat is more than a sediment issue: A multi-dimensional habitat assessment indicates new approaches for river management

Degraded physical habitat is a common stressor affecting river ecosystems and typically addressed in the United States (US) through a regulatory focus on sediment. However, a narrow regulatory focus on sediment may overlook other aspects of physical habitat and the processes for its creation, maintenance, and degradation. In addition, there exist few “ready-to-use” regional assessments...
Authors
Matthew J. Cashman, Gina Lee, Leah Ellen Staub, Michelle P. Katoski, Kelly O. Maloney
By
Water Resources Mission Area, Chesapeake Bay Activities

Examining terrestrial and subterranean sediment sources and transport processes in an urban sewershed with an entirely buried stream network, Washington, D.C., United States Examining terrestrial and subterranean sediment sources and transport processes in an urban sewershed with an entirely buried stream network, Washington, D.C., United States

Excessive fine-grained sediment runoff due to anthropogenic activities is a major environmental concern for watersheds worldwide, especially so for urban areas such as Washington, D.C. Dated grey infrastructure, i.e., the network of buried pipes and reservoirs managing water resources, can amplify existing issues with sediment runoff and associated pollutants. This infrastructure, which...
Authors
Zachary J. Clifton, Allen C. Gellis, Leah Ellen Staub, Matthew J. Cashman, Christopher H. Conaway, Cecilia Lane, David Pilat
By
Maryland-Delaware-D.C. Water Science Center
MD-DE-DC WSC Capabilities Sites

MD-DE-DC WSC Capabilities Sites

Explore the MD-DE-DC Water Science Center's expertise and capabilities. We work with federal, state, and local governments, universities, and non...

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