Jordan L. Wilson, PhD
(He/him)Jordan Wilson (he/him) is a Hydrologist for the USGS Water Resources Mission Area.
Dr. Jordan Wilson started his career with the U.S. Geological Survey (USGS) in 2011 at the then Missouri Water Science Center directly after graduating with a B.S. in Environmental Engineering from the Missouri University of Science and Technology (Missouri S&T). He completed his M.S. in Environmental Engineering in 2013 and his PhD in Civil Engineering in 2017, both from Missouri S&T.
From 2011 to 2021, Jordan worked on a variety of projects in Arkansas, Illinois, Louisiana, Missouri, Minnesota, Mississippi, Michigan, Nebraska, Ohio, and Pennsylvania on research topics including agricultural water-use modeling using supervised machine learning, contaminant uptake and transport in biological systems, synoptic water-quality surveys with autonomous underwater vehicles, development of an operational Asian Carp spawning forecast system in Great Lake tributaries, geophysical assessments of streambed hydrologic conductivity using continuous resistivity profiling, microbial source tracking, and contaminant monitoring and transport modeling at NPL sites.
After a short stint as a Data Scientist with the U.S. Department of Agriculture from 2021-2023, Jordan rejoined the USGS in the Hydrologic Remote Sensing Branch in 2023 and is currently focusing on studying remotely sensed evapotranspiration (OpenET project) and water quality.
Professional Experience
2023-present: Hydrologist, Hydrologic Remote Sensing Branch
2021-2023: Data Scientist, U.S. Department of Agriculture, Economic Research Service
2020-2021: Research Hydrologist, USGS Central Midwest Water Science Center
2020-2021: Adjunct Faculty, Missouri State University, Department of Geography, Geosciences and Planning
2019-2022: Adjunct Assistant Professor, Missouri University of Science and Technology, Rolla, MO
2011-2020: Hydrologist, Central Midwest Water Science Center
Education and Certifications
Ph.D - Missouri University of Science and Technology-Civil Engineering (2017)
M.S. - Missouri University of Science and Technology-Environmental Engineering (2013)
B.S. - Missouri University of Science and Technology-Environmental Engineering (2011)
Science and Products
Waterbody Rapid Assessment Tool (WaterRAT): 3-dimensional Visualization of High-Resolution Spatial Data
Trees as bioindicators of potential indoor exposure via vapor intrusion
Aquaculture and irrigation water-use model (AIWUM) version 1.1 estimates and related datasets for the Mississippi Alluvial Plain
Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 input and output datasets
Autonomous Underwater Vehicle Water-Quality and Sonar Measurements alongside Conductivity, Temperature and Depth Measurements in the Delaware River near Philadelphia, Pennsylvania, 2021
Autonomous Underwater Vehicle Water-Quality, Bathymetric, and Sonar Measurements in the Black River near Elyria, Ohio, 2021
Aquaculture and Irrigation Water-Use Model (AIWUM) Version 1.0 Estimates and Related Datasets for the Mississippi Alluvial Plain, 1999-2017 (ver. 2.0, April 2021)
Water-quality data at two unnamed lakes at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota, 2019
Autonomous Underwater Vehicle Water-Quality and Sonar Measurements in Delaware River near Philadelphia, Pennsylvania, 2019
Waterborne resistivity surveys for streams in the Mississippi Alluvial Plain, 2017
Concentrations of tetrachloroethylene in tree-core and passive soil-gas samples and interpolated tetrachloroethylene soil data at the Vienna Wells site, Maries County, Missouri, 2011-2016
Tetrachloroethylene, trichloroethylene, and 1,1,2-Trichloro-1,2,2-trifluoroethane concentrations in tree-core, groundwater, and soil samples at the Vienna Wells Site: Maries County, Missouri, 2011-2016
Improving crop-specific groundwater use estimation in the Mississippi Alluvial Plain: Implications for integrated remote sensing and machine learning approaches in data-scarce regions
Floods of June 21–July 1, 2018, in the Floyd River and Little Sioux River Basins, northwestern Iowa
Water-quality distributions in the East Branch Black River near the Chemical Recovery Systems site in Elyria, Ohio, 2021
Aquaculture and Irrigation Water-Use Model (AIWUM) version 1.0—An agricultural water-use model developed for the Mississippi Alluvial Plain, 1999–2017
What can trees tell us about the air we breathe at home?
Phytoforensics: Trees as bioindicators of potential indoor exposure via vapor intrusion
Contaminant gradients in trees: Directional tree coring reveals boundaries of soil and soil-gas contamination with potential applications in vapor intrusion assessment
Tree sampling as a method to assess vapor intrusion potential at a site characterized by VOC-contaminated groundwater and soil
Phytoforensics—Using trees to find contamination
Persistence and microbial source tracking of Escherichia coli at a swimming beach at Lake of the Ozarks State Park, Missouri
Occurrence and origin of Escherichia coli in water and sediments at two public swimming beaches at Lake of the Ozarks State Park, Camden County, Missouri, 2011-13
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.
Aquaculture and Irrigation Water Use Model 2.0 Software
Aquaculture and Irrigation Water-Use Model (AIWUM)
Aquaculture and Irrigation Water-Use Model (AIWUM)
Science and Products
Waterbody Rapid Assessment Tool (WaterRAT): 3-dimensional Visualization of High-Resolution Spatial Data
Trees as bioindicators of potential indoor exposure via vapor intrusion
Aquaculture and irrigation water-use model (AIWUM) version 1.1 estimates and related datasets for the Mississippi Alluvial Plain
Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 input and output datasets
Autonomous Underwater Vehicle Water-Quality and Sonar Measurements alongside Conductivity, Temperature and Depth Measurements in the Delaware River near Philadelphia, Pennsylvania, 2021
Autonomous Underwater Vehicle Water-Quality, Bathymetric, and Sonar Measurements in the Black River near Elyria, Ohio, 2021
Aquaculture and Irrigation Water-Use Model (AIWUM) Version 1.0 Estimates and Related Datasets for the Mississippi Alluvial Plain, 1999-2017 (ver. 2.0, April 2021)
Water-quality data at two unnamed lakes at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota, 2019
Autonomous Underwater Vehicle Water-Quality and Sonar Measurements in Delaware River near Philadelphia, Pennsylvania, 2019
Waterborne resistivity surveys for streams in the Mississippi Alluvial Plain, 2017
Concentrations of tetrachloroethylene in tree-core and passive soil-gas samples and interpolated tetrachloroethylene soil data at the Vienna Wells site, Maries County, Missouri, 2011-2016
Tetrachloroethylene, trichloroethylene, and 1,1,2-Trichloro-1,2,2-trifluoroethane concentrations in tree-core, groundwater, and soil samples at the Vienna Wells Site: Maries County, Missouri, 2011-2016
Improving crop-specific groundwater use estimation in the Mississippi Alluvial Plain: Implications for integrated remote sensing and machine learning approaches in data-scarce regions
Floods of June 21–July 1, 2018, in the Floyd River and Little Sioux River Basins, northwestern Iowa
Water-quality distributions in the East Branch Black River near the Chemical Recovery Systems site in Elyria, Ohio, 2021
Aquaculture and Irrigation Water-Use Model (AIWUM) version 1.0—An agricultural water-use model developed for the Mississippi Alluvial Plain, 1999–2017
What can trees tell us about the air we breathe at home?
Phytoforensics: Trees as bioindicators of potential indoor exposure via vapor intrusion
Contaminant gradients in trees: Directional tree coring reveals boundaries of soil and soil-gas contamination with potential applications in vapor intrusion assessment
Tree sampling as a method to assess vapor intrusion potential at a site characterized by VOC-contaminated groundwater and soil
Phytoforensics—Using trees to find contamination
Persistence and microbial source tracking of Escherichia coli at a swimming beach at Lake of the Ozarks State Park, Missouri
Occurrence and origin of Escherichia coli in water and sediments at two public swimming beaches at Lake of the Ozarks State Park, Camden County, Missouri, 2011-13
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.