Meredith M Reitz, PhD
Meredith Reitz is a Research Hydrologist for the USGS Water Resources Mission Area.
Dr. Meredith Reitz received a B.S. in Physics from Arizona State, with minors in Math, Astronomy, Political Science, and English. She completed a PhD in Physics at the University of Pennsylvania, where her advisor, Prof. Douglas Jerolmack, was a geomorphologist in the Earth and Environmental Science department. She then received a postdoctoral fellowship to work at Columbia University’s Lamont-Doherty Earth Observatory for two years. She has been with the USGS in Reston since August 2014, and works using remote sensing and ground-based data to estimate water cycle quantities of interest across the US.
Dr. Reitz’s work has generally focused on understanding the physical processes that drive dynamics of water and landscapes. Topics she has pursued have included methods for constraining remotely sensed evapotranspiration using ground-based data sources; the process and timescale of river channel movements on alluvial fans and braided rivers; the effect of vegetation on the stability and shape of sand dunes; and the interaction between river and tectonic systems. She has used a variety of methods in her research, including running physical experiments, analyzing time series images, topography, and remote sensing data with scripts written in Python (and ArcGIS/ ArcPy), MATLAB, and ImageJ, proposing new analytical treatments, and writing numerical models.
Current work
In her current research, Dr. Reitz is working toward estimating evapotranspiration, recharge, and runoff rates across the contiguous U.S., combining various methods and remote sensing as well as ground-based data sources.
She is a part of the team working on the Mississippi Alluvial Plain groundwater availability study. The project aims to improve our understanding the dynamics of groundwater availability in the water-stressed agricultural region of the Mississippi Alluvial Plain. Dr. Reitz’s work will further the water budget aspect of the project.
https://www2.usgs.gov/water/lowermississippigulf/map/
Dr. Reitz is also a PI on two Powell Center synthesis projects. The first one aims to better understand the utility of GRACE data (from the Gravity Recovery And Climate Experiment satellites) for remotely measuring water storage change, by bringing together GRACE data developers with researchers working on regional and national-scale groundwater modeling and field monitoring in a synthesis project. The second one aims to better understand the impacts of anthropogenic influence on global river basins, using remotely sensed and other data to develop a framework to better quantify the impacts of land use changes on ET and the water cycle.
Science and Products
A global synthesis of land-surface fluxes under natural and human-altered watersheds using the Budyko framework
A global synthesis of land-surface fluxes under natural and human-altered watersheds using the Budyko framework (COPY)
Mississippi Alluvial Plain (MAP): Water Availability Study
Integrating GRACE Satellite and Ground-based Estimates of Groundwater Storage Changes
Historical Evapotranspiration for the Conterminous U.S.
Urbanization Impacts on Evapotranspiration Across Various Spatio-temporal Scales
Monthly timescale quick-flow runoff maps for the conterminous U.S., 1895-2017
Combined remote sensing and water-balance evapotranspiration estimates (SSEBop-WB) for the conterminous United States
Annual estimates of recharge, quick-flow runoff, and ET for the contiguous US using empirical regression equations, 2000-2013
Ensemble estimation of historical evapotranspiration for the conterminous U.S.
Urbanization impacts on evapotranspiration across various spatio-temporal scales
Comparison of groundwater storage changes from GRACE satellites with monitoring and modeling of major U.S. aquifers
HESS opinions: Beyond the long-term water balance: Evolving Budyko's supply–demand framework for the Anthropocene towards a global synthesis of land-surface fluxes under natural and human-altered watersheds
The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000–13
Estimating quick-flow runoff at the monthly timescale for the conterminous United States
Combining remote sensing and water-balance evapotranspiration estimates for the conterminous United States
Annual estimates of recharge, quick-flow runoff, and ET for the contiguous U.S. using empirical regression equations
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
A global synthesis of land-surface fluxes under natural and human-altered watersheds using the Budyko framework
A global synthesis of land-surface fluxes under natural and human-altered watersheds using the Budyko framework (COPY)
Mississippi Alluvial Plain (MAP): Water Availability Study
Integrating GRACE Satellite and Ground-based Estimates of Groundwater Storage Changes
Historical Evapotranspiration for the Conterminous U.S.
Urbanization Impacts on Evapotranspiration Across Various Spatio-temporal Scales
Monthly timescale quick-flow runoff maps for the conterminous U.S., 1895-2017
Combined remote sensing and water-balance evapotranspiration estimates (SSEBop-WB) for the conterminous United States
Annual estimates of recharge, quick-flow runoff, and ET for the contiguous US using empirical regression equations, 2000-2013
Ensemble estimation of historical evapotranspiration for the conterminous U.S.
Urbanization impacts on evapotranspiration across various spatio-temporal scales
Comparison of groundwater storage changes from GRACE satellites with monitoring and modeling of major U.S. aquifers
HESS opinions: Beyond the long-term water balance: Evolving Budyko's supply–demand framework for the Anthropocene towards a global synthesis of land-surface fluxes under natural and human-altered watersheds
The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000–13
Estimating quick-flow runoff at the monthly timescale for the conterminous United States
Combining remote sensing and water-balance evapotranspiration estimates for the conterminous United States
Annual estimates of recharge, quick-flow runoff, and ET for the contiguous U.S. using empirical regression equations
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.