A video detailing the roles and responsibilities of the USGS's Maryland-Delaware-D.C., Baltimore Surface Water team.
John C. Hammond, PhD
John Hammond works as a Research Hydrologist for the USGS MD-DE-DC Water Science Center.
John studies hydroclimatic variability and trends, seasonal snow dynamics, empirical streamflow relationships across scales, and incorporates satellite data into hydrologic models. Current projects include improving snow process representation in hydrologic models, characterizing hydrologic drought, developing drought early warning systems, and drivers of non-perennial flow, and DC StreamStats.
I obtained my PhD in Watershed Science at Colorado State University in 2018 where I studied hydrologic change across the intermittent-persistent snow transition of the western U.S. is response to snow loss. This work assessed the effects of snow persistence on streamflow generation and soil moisture through a combination of remote sensing, surface station data analysis, hydrologic modeling, and geospatial statistics.
Research interests include:
- Runoff forecasting in snow-dominated watersheds
- Input partitioning through the critical zone
- Hydroclimatic and cryospheric trend detection
- Low-cost sensors for snow and streamflow monitoring
- Intermittent snow and streamflow occurrence and prediction
Consulting experience:
- Remote sensing of snow occurrence timing and distribution
- Flood innundation mapping
- Hydrologic and meteorologic equipment installation and maintenance
Professional Experience
Research Hydrologist, U.S. Geological Survey (USGS), November, 2022 to Present: Surface water hydrologist (Water Science Center, Water Mission Area)
Hydrologist, U.S. Geological Survey (USGS)
March, 2019 to November, 2022: Surface water hydrologist (Water Science Center, Water Mission Area)Colorado State University: Fort Collins, CO, US
December, 2018 to March, 2019: Research Affiliate - Department of Ecosystem Science and SustainabilityColorado State University: Fort Collins, CO, US
August, 2015 to December, 2018: Graduate Research Assistant - Snow hydrology, soil science, and water yieldU.S. Geological Survey (USGS)
November, 2014 to December, 2015: Surface Water Research Contractor
Education and Certifications
2018. PhD, Geosciences: Watershed Science, Colorado State University. Dissertation: Effects of snow persistence on soil moisture and streamflow generation in mountain regions of the western U.S.
2014. M.S., Water Resources Science, Oregon State University. Thesis: Trends in streamflow above and below dams across the Columbia River Basin from 1950 to 2012: assessing sub-basin sensitivity.
2012. B.S., Environmental Science & Policy, University of Maryland, College Park. Concentration: Global Environmental Change. Citation: College Park Scholars – Environmental Studies. Cum Laude.
Science and Products
Drought Prediction Science
Surface Water Capabilities @ MD-DE-DC
Simulated Snowpack and Meteorological Variables for the Upper Colorado River Basin and Vicinity Using CONUS404 Historical and Future Mid-Century Meteorology Simulated Snowpack and Meteorological Variables for the Upper Colorado River Basin and Vicinity Using CONUS404 Historical and Future Mid-Century Meteorology
Direct Human-Impact Classifications for Selected Groundwater Wells in the Conterminous United States, model archive Direct Human-Impact Classifications for Selected Groundwater Wells in the Conterminous United States, model archive
Model outputs and model code for machine learning models forecasting streamflow drought across the Conterminous United States Model outputs and model code for machine learning models forecasting streamflow drought across the Conterminous United States
Model inputs for machine learning models forecasting streamflow drought across the conterminous United States (ver. 2.0, September 2025) Model inputs for machine learning models forecasting streamflow drought across the conterminous United States (ver. 2.0, September 2025)
Headwater and downstream attributes for select HUC12 units across the Conterminous United States (CONUS) Headwater and downstream attributes for select HUC12 units across the Conterminous United States (CONUS)
Metrics to Characterizing Periods of Anomalously Low Water Storage for Selected Reservoirs in the Conterminous U.S. from 1981 to 2020 Metrics to Characterizing Periods of Anomalously Low Water Storage for Selected Reservoirs in the Conterminous U.S. from 1981 to 2020
A video detailing the roles and responsibilities of the USGS's Maryland-Delaware-D.C., Baltimore Surface Water team.
A video detailing the roles and responsibilities of the USGS's Maryland-Delaware-D.C., Baltimore Surface Water team.
A video detailing the roles and responsibilities of the USGS's Maryland-Delaware-D.C., Baltimore Surface Water team.
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
Variability in hydrologic response to wildfire between snow zones in forested headwaters Variability in hydrologic response to wildfire between snow zones in forested headwaters
Hydrological whiplash: Highlighting the need for better understanding and quantification of sub-seasonal hydrological extreme transitions Hydrological whiplash: Highlighting the need for better understanding and quantification of sub-seasonal hydrological extreme transitions
Prioritization of research on drought assessment in a changing climate Prioritization of research on drought assessment in a changing climate
Advancing the science of headwater streamflow for global water protection Advancing the science of headwater streamflow for global water protection
Agricultural tile drains increase the susceptibility of streams to longer and more intense streamflow droughts Agricultural tile drains increase the susceptibility of streams to longer and more intense streamflow droughts
Science and Products
Drought Prediction Science
Surface Water Capabilities @ MD-DE-DC
Simulated Snowpack and Meteorological Variables for the Upper Colorado River Basin and Vicinity Using CONUS404 Historical and Future Mid-Century Meteorology Simulated Snowpack and Meteorological Variables for the Upper Colorado River Basin and Vicinity Using CONUS404 Historical and Future Mid-Century Meteorology
Direct Human-Impact Classifications for Selected Groundwater Wells in the Conterminous United States, model archive Direct Human-Impact Classifications for Selected Groundwater Wells in the Conterminous United States, model archive
Model outputs and model code for machine learning models forecasting streamflow drought across the Conterminous United States Model outputs and model code for machine learning models forecasting streamflow drought across the Conterminous United States
Model inputs for machine learning models forecasting streamflow drought across the conterminous United States (ver. 2.0, September 2025) Model inputs for machine learning models forecasting streamflow drought across the conterminous United States (ver. 2.0, September 2025)
Headwater and downstream attributes for select HUC12 units across the Conterminous United States (CONUS) Headwater and downstream attributes for select HUC12 units across the Conterminous United States (CONUS)
Metrics to Characterizing Periods of Anomalously Low Water Storage for Selected Reservoirs in the Conterminous U.S. from 1981 to 2020 Metrics to Characterizing Periods of Anomalously Low Water Storage for Selected Reservoirs in the Conterminous U.S. from 1981 to 2020
A video detailing the roles and responsibilities of the USGS's Maryland-Delaware-D.C., Baltimore Surface Water team.
A video detailing the roles and responsibilities of the USGS's Maryland-Delaware-D.C., Baltimore Surface Water team.
A video detailing the roles and responsibilities of the USGS's Maryland-Delaware-D.C., Baltimore Surface Water team.
A video detailing the roles and responsibilities of the USGS's Maryland-Delaware-D.C., Baltimore Surface Water team.