Jessica Driscoll, PhD
Dr. Jessica Driscoll is the Science Program Officer for the Rocky Mountain Region.
Professional Experience
Science Program Officer, U.S. Geological Survey, Rocky Mountain Region (2022 - present)
Hydrologist, U.S. Geological Survey, Water Resources Mission Area, Integrated Modeling and Prediction Division (2019 - 2022)
Hydrologist, U.S. Geological Survey, Rocky Mountain Region, New Mexico Water Science Center (2014 - 2019)
Education and Certifications
PhD: Hydrology, The University of Arizona, Tucson, Arizona. Advisor: Dr. Thomas Meixner
Graduate Certificates: Water Policy, Geographic Information Systems
MS: Hydrology, The University of Arizona, Tucson, Arizona. Advisor: Dr. Thomas Meixner
BA: Geology, cum laude, Amherst College, Amherst, Massachusetts.
Science and Products
Filter Total Items: 20
Strength and memory of precipitation's control over streamflow across the conterminous United States
How precipitation (P) is translated into streamflow (Q) and over what timescales (i.e., “memory”) is difficult to predict without calibration of site-specific models or using geochemical approaches, posing barriers to prediction in ungauged basins or advancement of general theories. Here, we used a data-driven approach to identify regional patterns and exogenous controls on P–Q...
Authors
Edom Moges, Benjamin Ruddell, Liang Zhang, Jessica M. Driscoll, Laurel Larsen
Implications of model selection: A comparison of publicly available, conterminous US-extent hydrologic component estimates
Spatiotemporally continuous estimates of the hydrologic cycle are often generated through hydrologic modeling, reanalysis, or remote sensing (RS) methods and are commonly applied as a supplement to, or a substitute for, in situ measurements when observational data are sparse or unavailable. This study compares estimates of precipitation (P), actual evapotranspiration (ET), runoff (R)...
Authors
Samuel Saxe, William Farmer, Jessica M. Driscoll, Terri S. Hogue
Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey
The US Geological Survey (USGS) is currently (2020) integrating its water science programs to better address the nation’s greatest water resource challenges now and into the future. This integration will rely, in part, on data from 10 or more intensively monitored river basins from across the USA. A team of USGS scientists was convened to develop a systematic, quantitative approach to...
Authors
Peter C. Van Metre, Sharon L. Qi, Jeffrey R. Deacon, Cheryl A. Dieter, Jessica M. Driscoll, Michael N. Fienen, Terry A. Kenney, Patrick Lambert, David P. Lesmes, Christopher Allen Mason, Anke Mueller-Solger, MaryLynn Musgrove, Jaime A. Painter, Donald Rosenberry, Lori A. Sprague, Anthony J. Tesoriero, Lisamarie Windham-Myers, David M. Wolock
Runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model
The spatial variability of snow water equivalent (SWE) can exert a strong influence on the timing and magnitude of snowmelt delivery to a watershed. Therefore, the representation of subgrid or subwatershed snow variability in hydrologic models is important for accurately simulating snowmelt dynamics and runoff response. The U.S. Geological Survey National Hydrologic Model infrastructure...
Authors
Graham A. Sexstone, Jessica M. Driscoll, Lauren Hay, John Christopher Hammond, Theodore B. Barnhart
Spatiotemporal variability of modeled watershed scale surface-depression storage and runoff for the conterminous United States
This study uses the explores the viability of a proxy model calibration strategy through assessment of the spatiotemporal variability of surface-depression storage and runoff generated with the U.S. Geological Survey’s National Hydrologic Model (NHM) infrastructure for hydrologic response units (HRUs; n=109,951) across the conterminous United States (CONUS). Simulated values for each HRU...
Authors
Jessica M. Driscoll, Lauren Hay, Melanie K. Vanderhoof, Roland J. Viger
Estimation of base flow by optimal hydrograph separation for the conterminous United States and implications for national-extent hydrologic models
Optimal hydrograph separation (OHS) uses a two-parameter recursive digital filter that applies specific conductance mass-balance constraints to estimate the base flow contribution to total streamflow at stream gages where discharge and specific conductance are measured. OHS was applied to U.S. Geological Survey (USGS) stream gages across the conterminous United States to examine the...
Authors
Sydney Foks, Jeff P. Raffensperger, Colin A. Penn, Jessica M. Driscoll
Science and Products
Filter Total Items: 20
Strength and memory of precipitation's control over streamflow across the conterminous United States
How precipitation (P) is translated into streamflow (Q) and over what timescales (i.e., “memory”) is difficult to predict without calibration of site-specific models or using geochemical approaches, posing barriers to prediction in ungauged basins or advancement of general theories. Here, we used a data-driven approach to identify regional patterns and exogenous controls on P–Q...
Authors
Edom Moges, Benjamin Ruddell, Liang Zhang, Jessica M. Driscoll, Laurel Larsen
Implications of model selection: A comparison of publicly available, conterminous US-extent hydrologic component estimates
Spatiotemporally continuous estimates of the hydrologic cycle are often generated through hydrologic modeling, reanalysis, or remote sensing (RS) methods and are commonly applied as a supplement to, or a substitute for, in situ measurements when observational data are sparse or unavailable. This study compares estimates of precipitation (P), actual evapotranspiration (ET), runoff (R)...
Authors
Samuel Saxe, William Farmer, Jessica M. Driscoll, Terri S. Hogue
Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey
The US Geological Survey (USGS) is currently (2020) integrating its water science programs to better address the nation’s greatest water resource challenges now and into the future. This integration will rely, in part, on data from 10 or more intensively monitored river basins from across the USA. A team of USGS scientists was convened to develop a systematic, quantitative approach to...
Authors
Peter C. Van Metre, Sharon L. Qi, Jeffrey R. Deacon, Cheryl A. Dieter, Jessica M. Driscoll, Michael N. Fienen, Terry A. Kenney, Patrick Lambert, David P. Lesmes, Christopher Allen Mason, Anke Mueller-Solger, MaryLynn Musgrove, Jaime A. Painter, Donald Rosenberry, Lori A. Sprague, Anthony J. Tesoriero, Lisamarie Windham-Myers, David M. Wolock
Runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model
The spatial variability of snow water equivalent (SWE) can exert a strong influence on the timing and magnitude of snowmelt delivery to a watershed. Therefore, the representation of subgrid or subwatershed snow variability in hydrologic models is important for accurately simulating snowmelt dynamics and runoff response. The U.S. Geological Survey National Hydrologic Model infrastructure...
Authors
Graham A. Sexstone, Jessica M. Driscoll, Lauren Hay, John Christopher Hammond, Theodore B. Barnhart
Spatiotemporal variability of modeled watershed scale surface-depression storage and runoff for the conterminous United States
This study uses the explores the viability of a proxy model calibration strategy through assessment of the spatiotemporal variability of surface-depression storage and runoff generated with the U.S. Geological Survey’s National Hydrologic Model (NHM) infrastructure for hydrologic response units (HRUs; n=109,951) across the conterminous United States (CONUS). Simulated values for each HRU...
Authors
Jessica M. Driscoll, Lauren Hay, Melanie K. Vanderhoof, Roland J. Viger
Estimation of base flow by optimal hydrograph separation for the conterminous United States and implications for national-extent hydrologic models
Optimal hydrograph separation (OHS) uses a two-parameter recursive digital filter that applies specific conductance mass-balance constraints to estimate the base flow contribution to total streamflow at stream gages where discharge and specific conductance are measured. OHS was applied to U.S. Geological Survey (USGS) stream gages across the conterminous United States to examine the...
Authors
Sydney Foks, Jeff P. Raffensperger, Colin A. Penn, Jessica M. Driscoll