Zachary C. Johnson
Research Hydrologist for the Washington Water Science Center
My research interests are at the intersection of watershed hydrology, ecology, biogeochemistry, water and land management, and fluvial geomorphology using field measurements, remote sensing, laboratory, and modeling techniques. I am particularly passionate about topics such as surface-subsurface exchanges, terrestrial-aquatic linkages, climate change and other anthropogenic interactions, statistical and deterministic modeling, and the importance of spatial and temporal scale for watershed processes.
Professional Experience
2023 to present – Research Hydrologist, US Geological Survey, Washington Water Science Center
2020 to 2023 – Hydrologist, US Geological Survey, Washington Water Science Center
2018 to 2020 – Research Associate/Scientist, University of Washington
2016 to 2017 – ORISE Postdoctoral Fellow, US Environmental Protection Agency
2014 to 2016 – Contractor/Research Ecologist, US Geological Survey, Leetown Science Center
Education and Certifications
Ph.D. 2014. Hydrology, University of Nevada, Reno, NV
M.S. 2010. Hydrology, University of Nevada, Reno, NV
B.A. 2007. ACS Chemistry (Mathematics minor), Concordia College, Moorhead, MN
Science and Products
Puget Sound, WA Nutrient SPARROW Model
Long-term monotonic trends in aquifer and regional groundwater metrics in the United States through 2020
Estimated seasonal nitrogen and phosphorus loads in selected streams of the conterminous United States, 1999 - 2020
Stream heat budget model input and scripts for simulating groundwater and thermal equilibrium controls on annual paired air-water temperature signal transport in headwater streams
Long-term monotonic trends in annual groundwater metrics in the United States through 2020
Long-term water-quality trends for rivers and streams within the contiguous United States using Weighted Regressions on Time, Discharge, and Season (WRTDS)
Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States (ver. 2.0, October 2024)
Long-term monotonic trends in annual and monthly stream temperature metrics at multi-source monitoring locations in the United States
Passive seismic data collected along headwater stream corridors in Shenandoah National Park in 2016 - 2020
Spatial patterns of dewatering within watersheds of Shenandoah National Park, Virginia 2016 - 2021 (ver. 2.0, December 2021)
Seismic data for study of shallow mountain bedrock limits seepage-based headwater climate refugia, Shenandoah National Park, Virginia
Temperature data for study of shallow mountain bedrock limits seepage-based headwater climate refugia, Shenandoah National Park, Virginia
Air-water temperature data for the study of groundwater influence on stream thermal regimes in Shenandoah National Park, Virginia (ver. 2.0, May 3, 2018)
USGS Leetown Science Center scientists collected hourly air and water temperature data at 79 site locations within nine watersheds in Shenandoah National Park, Virginia over four water years (2012-2015). Data were collected using HOBO Pro V2 thermographs (accuracy = 0.2 degrees Celsius, drift = less than 0.1 degrees Celsius per year per year).
Taking heat (downstream): Simulating groundwater and thermal equilibrium controls on annual paired air–water temperature signal transport in headwater streams
Opportunities and challenges for precipitation forcing data in post-wildfire hydrologic modeling applications
Closing the gap between science and management of cold-water refuges in rivers and streams
Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement
Paired Air and Stream Temperature Analysis (PASTA) to evaluate groundwater influence on streams
Bedrock depth influences spatial patterns of summer baseflow, temperature and flow disconnection for mountainous headwater streams
Continental-scale analysis of shallow and deep groundwater contributions to streams
Groundwater discharge generates streamflow and influences stream thermal regimes. However, the water quality and thermal buffering capacity of groundwater depends on the aquifer source-depth. Here, we pair multi-year air and stream temperature signals to categorize 1729 sites across the continental United States as having major dam influence, shallow or deep groundwater signatures, or lack of pron
Heed the data gap: Guidelines for using incomplete datasets in annual stream temperature analyses
Inferring watershed hydraulics and cold-water habitat persistence using multi-year air and stream temperature signals
Forecasting stream habitat and Brook Trout responses to climate change in Catoctin Mountain Park
Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams
Shallow bedrock limits groundwater seepage-based headwater climate refugia
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Puget Sound, WA Nutrient SPARROW Model
Long-term monotonic trends in aquifer and regional groundwater metrics in the United States through 2020
Estimated seasonal nitrogen and phosphorus loads in selected streams of the conterminous United States, 1999 - 2020
Stream heat budget model input and scripts for simulating groundwater and thermal equilibrium controls on annual paired air-water temperature signal transport in headwater streams
Long-term monotonic trends in annual groundwater metrics in the United States through 2020
Long-term water-quality trends for rivers and streams within the contiguous United States using Weighted Regressions on Time, Discharge, and Season (WRTDS)
Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States (ver. 2.0, October 2024)
Long-term monotonic trends in annual and monthly stream temperature metrics at multi-source monitoring locations in the United States
Passive seismic data collected along headwater stream corridors in Shenandoah National Park in 2016 - 2020
Spatial patterns of dewatering within watersheds of Shenandoah National Park, Virginia 2016 - 2021 (ver. 2.0, December 2021)
Seismic data for study of shallow mountain bedrock limits seepage-based headwater climate refugia, Shenandoah National Park, Virginia
Temperature data for study of shallow mountain bedrock limits seepage-based headwater climate refugia, Shenandoah National Park, Virginia
Air-water temperature data for the study of groundwater influence on stream thermal regimes in Shenandoah National Park, Virginia (ver. 2.0, May 3, 2018)
USGS Leetown Science Center scientists collected hourly air and water temperature data at 79 site locations within nine watersheds in Shenandoah National Park, Virginia over four water years (2012-2015). Data were collected using HOBO Pro V2 thermographs (accuracy = 0.2 degrees Celsius, drift = less than 0.1 degrees Celsius per year per year).
Taking heat (downstream): Simulating groundwater and thermal equilibrium controls on annual paired air–water temperature signal transport in headwater streams
Opportunities and challenges for precipitation forcing data in post-wildfire hydrologic modeling applications
Closing the gap between science and management of cold-water refuges in rivers and streams
Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement
Paired Air and Stream Temperature Analysis (PASTA) to evaluate groundwater influence on streams
Bedrock depth influences spatial patterns of summer baseflow, temperature and flow disconnection for mountainous headwater streams
Continental-scale analysis of shallow and deep groundwater contributions to streams
Groundwater discharge generates streamflow and influences stream thermal regimes. However, the water quality and thermal buffering capacity of groundwater depends on the aquifer source-depth. Here, we pair multi-year air and stream temperature signals to categorize 1729 sites across the continental United States as having major dam influence, shallow or deep groundwater signatures, or lack of pron
Heed the data gap: Guidelines for using incomplete datasets in annual stream temperature analyses
Inferring watershed hydraulics and cold-water habitat persistence using multi-year air and stream temperature signals
Forecasting stream habitat and Brook Trout responses to climate change in Catoctin Mountain Park
Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams
Shallow bedrock limits groundwater seepage-based headwater climate refugia
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.