Thomas Over
Thomas Over, is a Research Hydrologist, with the Central Midwest Water Science Center, located in Urbana, Illinois.
Tom has worked for the USGS, Central Midwest Water Science Center (formerly the Illinois Water Science Center) since 2001 (originally part-time, full-time beginning 2012). He works in areas of prediction of peak and continuous streamflow in ungaged basins by statistical regionalization, hydrologic and hydraulic modeling (HSPF, SWMM, HEC-RAS, HEC-HMS, PEST), disaggregation and scaling of precipitation and streamflow, streamflow measurement uncertainty, hydrometeorological data analysis (evaluation of gage and radar-based precipitation observations and forecasts, development of homogeneous weather databases), and effects of urbanization on streamflow.
Prior to his full-time appointment with the USGS he was an assistant research professor at Eastern Illinois University (EIU) in the Geology/Geography Department, a visiting assistant professor at University of Illinois at Urbana-Champaign in the Civil and Environmental Engineering Department, and an assistant professor at Texas A&M University in the Civil Engineering Department, where he taught courses in water resources engineering, engineering hydrology, and stochastic hydrology. His research at EIU was in the area of controls of soil moisture and soil hydrophobicity on wind erosion. His Ph.D. is from University of Colorado - Boulder, Geophysics Program - Hydrology Option, where his dissertation was on multifractal space-time scaling properties of precipitation fields. While at CU-Boulder, he worked with Brent Troutman in the USGS (Water) National Research Program on the effects of river basin structure on streamflow. Prior to Ph.D. studies, he worked as a consulting civil engineer.
Professional Experience
2020 to Present, Research Hydrologist, Central Midwest Science Center
2012 to 2020, Hydrologist, Illinois, Illinois-Iowa, Central Midwest Water Science Center
2001 to 2012, Hydrologist (part-time), Illinois Water Science Center
2000 to 2012, Assistant Research Professor (part-time), Department of Geology / Geography, Eastern Illinois University
2000 to 2001, Visiting Assistant Professor, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign
1996 to 2000, Assistant Professor, Department of Civil Engineering, Texas A&M University
1988 to 1995, Research Assistant, University of Colorado, Boulder
1984 to 1988, Consulting Civil Engineer, Nolte and Associates, San Jose, Calif.
Education and Certifications
Ph.D., Geophysics Program/Hydrology - University of Colorado-Boulder, 1995
M.S., CIvil and Environmental Engineering - Stanford University, 1984
S.B., Civil and Environmental Engineering - Massachusetts Institute of Technology, 1983
Science and Products
Index Velocity Rating Example Datasets Index Velocity Rating Example Datasets
Data for Regional Analysis of the Dependence of Peak-Flow Quantiles on Climate with Application to Adjustment to Climate Trends Data for Regional Analysis of the Dependence of Peak-Flow Quantiles on Climate with Application to Adjustment to Climate Trends
Data for Investigating the Joint Effect of Changes in Impervious Cover and Climate on Trends in Floods Data for Investigating the Joint Effect of Changes in Impervious Cover and Climate on Trends in Floods
Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020
Data for Estimating Peak-Flow Quantiles for Selected Annual Exceedance Probabilities in Illinois Data for Estimating Peak-Flow Quantiles for Selected Annual Exceedance Probabilities in Illinois
Models, Inputs, and Outputs for Estimating the Uncertainty of Discharge Simulations for the Lake Michigan Diversion Using the Hydrological Simulation Program - FORTRAN Model Models, Inputs, and Outputs for Estimating the Uncertainty of Discharge Simulations for the Lake Michigan Diversion Using the Hydrological Simulation Program - FORTRAN Model
Hydroclimatic and land-use factors affecting peak streamflow in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin Hydroclimatic and land-use factors affecting peak streamflow in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin
Regional analysis of the dependence of peak-flow quantiles on climate with application to adjustment to climate trends Regional analysis of the dependence of peak-flow quantiles on climate with application to adjustment to climate trends
The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches
Evaluating hydrologic model performance for characterizing streamflow drought in the conterminous United States Evaluating hydrologic model performance for characterizing streamflow drought in the conterminous United States
Peak streamflow trends in Illinois and their relation to changes in climate, water years 1921–2020 Peak streamflow trends in Illinois and their relation to changes in climate, water years 1921–2020
How to select an objective function using information theory How to select an objective function using information theory
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
Index Velocity Rating Example Datasets Index Velocity Rating Example Datasets
Data for Regional Analysis of the Dependence of Peak-Flow Quantiles on Climate with Application to Adjustment to Climate Trends Data for Regional Analysis of the Dependence of Peak-Flow Quantiles on Climate with Application to Adjustment to Climate Trends
Data for Investigating the Joint Effect of Changes in Impervious Cover and Climate on Trends in Floods Data for Investigating the Joint Effect of Changes in Impervious Cover and Climate on Trends in Floods
Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020
Data for Estimating Peak-Flow Quantiles for Selected Annual Exceedance Probabilities in Illinois Data for Estimating Peak-Flow Quantiles for Selected Annual Exceedance Probabilities in Illinois
Models, Inputs, and Outputs for Estimating the Uncertainty of Discharge Simulations for the Lake Michigan Diversion Using the Hydrological Simulation Program - FORTRAN Model Models, Inputs, and Outputs for Estimating the Uncertainty of Discharge Simulations for the Lake Michigan Diversion Using the Hydrological Simulation Program - FORTRAN Model
Hydroclimatic and land-use factors affecting peak streamflow in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin Hydroclimatic and land-use factors affecting peak streamflow in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin
Regional analysis of the dependence of peak-flow quantiles on climate with application to adjustment to climate trends Regional analysis of the dependence of peak-flow quantiles on climate with application to adjustment to climate trends
The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches
Evaluating hydrologic model performance for characterizing streamflow drought in the conterminous United States Evaluating hydrologic model performance for characterizing streamflow drought in the conterminous United States
Peak streamflow trends in Illinois and their relation to changes in climate, water years 1921–2020 Peak streamflow trends in Illinois and their relation to changes in climate, water years 1921–2020
How to select an objective function using information theory How to select an objective function using information theory
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.