Jack Eggleston
Jack Eggleston is the Chief of the Hydrologic Remote Sensing Branch for the USGS Water Resources Mission Area.
Science and Products
Satellite-based Remote Sensing of River Discharge
National-scale, remotely sensed lake trophic status 1984-2020
Lake trophic status is a key water quality property that integrates a lake's physical, chemical, and biological processes. Despite the importance of trophic status as a gauge of lake water quality, standardized and machine readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic status with reproducible, robust methods across time and space.
National-scale remotely sensed lake trophic state from 1984 through 2020
Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region
Near-field remote sensing of surface velocity and river discharge using radars and the probability concept at 10 USGS streamgages
Hydrogeologic framework and simulation of predevelopment groundwater flow, eastern Abu Dhabi Emirate, United Arab Emirates
Remote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging
Hydrologic conditions and simulation of groundwater and surface water in the Great Dismal Swamp of Virginia and North Carolina
Use of historic Persian water system data in groundwater models: Examples from Afghanistan and Emirates
Assessing the magnitude and timing of anthropogenic warming of a shallow aquifer: example from Virginia Beach, USA
Old groundwater in parts of the upper Patapsco aquifer, Atlantic Coastal Plain, Maryland, USA: Evidence from radiocarbon, chlorine-36 and helium-4
Outdoor water use and water conservation opportunities in Virginia Beach, Virginia
Simulation of ground-water flow and evaluation of water-management alternatives in the upper Charles River basin, eastern Massachusetts
Science and Products
- Science
Satellite-based Remote Sensing of River Discharge
The U.S. Geological Survey and NASA are collaborating on a study to develop methods to estimate river flows from satellite observations. - Data
National-scale, remotely sensed lake trophic status 1984-2020
Lake trophic status is a key water quality property that integrates a lake's physical, chemical, and biological processes. Despite the importance of trophic status as a gauge of lake water quality, standardized and machine readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic status with reproducible, robust methods across time and space.
- Publications
National-scale remotely sensed lake trophic state from 1984 through 2020
Lake trophic state is a key ecosystem property that integrates a lake’s physical, chemical, and biological processes. Despite the importance of trophic state as a gauge of lake water quality, standardized and machine-readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic state with reproducible, robust methods across time and space. We used LaAuthorsMichael Frederick Meyer, Simon Nemer Topp, Tyler Victor King, Robert Ladwig, Rachel M. Pilla, Hilary A. Dugan, Jack R. Eggleston, Stephanie E. Hampton, Dina M Leech, Isabella Oleksy, Jesse Cleveland Ross, Matthew V Ross, Iestyn R Woolway, Xiao Yang, Matthew R. Brousil, Kate Colleen Fickas, Julie C Padowski, Amina Pollard, Jianning Ren, Jacob Aaron ZwartSatellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region
The availability of reliable gridded precipitation datasets is limited around the world, especially in arid regions. In this study, we utilized observations from satellite-based precipitation data and in situ rain gauge observations to determine a suitable precipitation dataset in the Middle East & North Africa (MENA) region. First, we evaluated seven different precipitation products using rain gaAuthorsStefanie Kagone, Naga Manohar Velpuri, Kul Bikram Khand, Gabriel B. Senay, Michael R. Van der Valk, Daniel J. Goode, Salam Abu Hantash, Thair M. Al-Momani, Nanor Momejian, Jack R. EgglestonNear-field remote sensing of surface velocity and river discharge using radars and the probability concept at 10 USGS streamgages
Near-field remote sensing of surface velocity and river discharge (discharge) were measured using coherent, continuous wave Doppler and pulsed radars. Traditional streamgaging requires sensors be deployed in the water column; however, near-field remote sensing has the potential to transform streamgaging operations through non-contact methods in the U.S. Geological Survey (USGS) and other agenciesAuthorsJohn Fulton, Chris A. Mason, Jack R. Eggleston, Matthew J. Nicotra, C.-L. Chiu, Mark F. Henneberg, Heather Best, Jay Cederberg, Stephen R. Holnbeck, R. Russell Lotspeich, Christopher Laveau, Tommaso Moramarco, Mark E. Jones, Jonathan J Gourley, Danny WasielewskiHydrogeologic framework and simulation of predevelopment groundwater flow, eastern Abu Dhabi Emirate, United Arab Emirates
Groundwater in eastern Abu Dhabi in the United Arab Emirates is an important resource that is widely used for irrigation and domestic supplies in rural areas. The U.S. Geological Survey and the Environment Agency—Abu Dhabi cooperated on an investigation to integrate existing hydrogeologic information and to answer questions about regional groundwater resources in Abu Dhabi by developing a numericaAuthorsJack R. Eggleston, Thomas J. Mack, Jeffrey L. Imes, Wade Kress, Dennis W. Woodward, Daniel J. BrightRemote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging
The U.S. Geological Survey monitors water level (water surface elevation relative to an arbitrary datum) and measures streamflow in Alaska rivers to compute and compile river flow records for use by water resource planners, engineers, and land managers to design infrastructure, manage floodplains, and protect life, property, and aquatic resources. Alaska has over 800,000 miles of rivers includingAuthorsJeff Conaway, John R. Eggleston, Carl J. Legleiter, John Jones, Paul J. Kinzel, John W. FultonHydrologic conditions and simulation of groundwater and surface water in the Great Dismal Swamp of Virginia and North Carolina
The U.S. Geological Survey (USGS), in cooperation with the U.S Fish and Wildlife Service, has investigated the hydrology of the Great Dismal Swamp (Swamp) National Wildlife Refuge (Refuge) in Virginia and North Carolina and developed a three-dimensional numerical model to simulate groundwater and surface-water hydrology. The model was developed with MODFLOW-NWT, a USGS numerical groundwater flow mAuthorsJack R. Eggleston, Jeremy D. Decker, Jason S. Finkelstein, Frederic C. Wurster, Paul E. Misut, Luke P. Sturtevant, Gary K. SpeiranUse of historic Persian water system data in groundwater models: Examples from Afghanistan and Emirates
Obtaining calibration data for models depicting conditions during pre-development periods can be challenging as such periods are characteristically data poor. This study presents two examples where simulation of historic water conveyance structures were used to help characterize historic, or pre-modern, conditions in calibration of groundwater flow models. Persian water conveyance structures, calAuthorsThomas J. Mack, Jack R. EgglestonAssessing the magnitude and timing of anthropogenic warming of a shallow aquifer: example from Virginia Beach, USA
Groundwater temperature measurements in a shallow coastal aquifer in Virginia Beach, Virginia, USA, suggest groundwater warming of +4.1 °C relative to deeper geothermal gradients. Observed warming is related to timing and depth of influence of two potential thermal drivers—atmospheric temperature increases and urbanization. Results indicate that up to 30 % of groundwater warming at the water tableAuthorsJohn R. Eggleston, Kurt J. McCoyOld groundwater in parts of the upper Patapsco aquifer, Atlantic Coastal Plain, Maryland, USA: Evidence from radiocarbon, chlorine-36 and helium-4
Apparent groundwater ages along two flow paths in the upper Patapsco aquifer of the Maryland Atlantic Coastal Plain, USA, were estimated using 14C, 36Cl and 4He data. Most of the ages range from modern to about 500 ka, with one sample at 117 km downgradient from the recharge area dated by radiogenic 4He accumulation at more than one Ma. Last glacial maximum (LGM) water was located about 20 km downAuthorsNiel Plummer, John R. Eggleston, Jeff P. Raffensperger, Andrew G. Hunt, Gerolamo C. Casile, D. C. AndreasenOutdoor water use and water conservation opportunities in Virginia Beach, Virginia
How much water do you use to water your lawn, wash your car, or fill your swimming pool? Your answers to these questions have important implications for water supplies in the City of Virginia Beach. To help find the answers, the City cooperated with the U.S. Geological Survey (USGS) and Old Dominion University to learn more about seasonal outdoor water use. In the summer of 2008 the USGS surveyedAuthorsJohn R. EgglestonSimulation of ground-water flow and evaluation of water-management alternatives in the upper Charles River basin, eastern Massachusetts
Ground water is the primary source of drinking water for towns in the upper Charles River Basin, an area of 105 square miles in eastern Massachusetts that is undergoing rapid growth. The stratified-glacial aquifers in the basin are high yield, but also are thin, discontinuous, and in close hydraulic connection with streams, ponds, and wetlands. Water withdrawals averaged 10.1 million gallons per dAuthorsLeslie A. DeSimone, Donald A. Walter, John R. Eggleston, Mark T. Nimiroski - News