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December 16, 2024

USGS Upper Midwest Water Science center researchers presented their science at the American Geophysical Union (AGU) 2024 meeting, the world’s largest annual Earth science meeting.

AGU24 Conference Center at Night.

The annual meeting of the American Geophysical Union, AGU24, was held in Washington D.C. from December 9 through 13. More than 25,000 scientists, communicators, students, teachers, and policymakers attend AGU every year to learn about new science.

The largest Earth science meeting, USGS had a large presence at booth #912 where they spoke to conference attendees about USGS research.  Hundreds of USGS scientists were in attendance to discuss their work across a multitude of disciplines including climate science, natural hazards, Earth resources, mapping, and energy and minerals. 

Scientists from the USGS Upper Midwest Water Science Center attended this year to give presentations about their research in water science at AGU24:

Abstracts from oral presentation and posters containing Upper Midwest Water Science Center scientists as authors and co-authors are linked and highlighted below. Abstracts are listed by title in alphabetical order.

Advances in Decision Support Modeling for Water Resource Management I Poster 

Katie Markovich, United States Geological Survey, Upper Midwest Water Science Center, Madison, United States, Michael N Fienen, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States, Nicholas Corson-Dosch, USGS Upper Midwest Water Science Center, Madison, United States, Jeremy T White, INTERA Incorporated, Austin, United States and Cecile Coulon, INTERA Incorporated, Limonest, France

Advances in Decision Support Modeling for Water Resource Management II Oral 

Katie Markovich, United States Geological Survey, Upper Midwest Water Science Center, Madison, United States, Michael N Fienen, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States, Nicholas Corson-Dosch, USGS Upper Midwest Water Science Center, Madison, United States, Jeremy T White, INTERA Incorporated, Austin, United States and Cecile Coulon, INTERA Incorporated, Limonest, France

Advances in Decision Support Modeling for Water Resource Management III Oral 

Katie Markovich, United States Geological Survey, Upper Midwest Water Science Center, Madison, United States, Michael N Fienen, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States, Nicholas Corson-Dosch, USGS Upper Midwest Water Science Center, Madison, United States, Jeremy T White, INTERA Incorporated, Austin, United States and Cecile Coulon, INTERA Incorporated, Limonest, France

A New Approach for a priori Model Selection and the Quantification of Data Worth in Model Selection

Mark Pleasants, U.S. Geological Survey, Integrated Modeling and Prediction Division, Cheyenne, United States, Michael N Fienen, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States, Hedeff Essaid, U.S. Geological Survey, Integrated Modeling and Prediction Division, Moffett Field, United States, Joel Blomquist, U.S. Geological Survey, Integrated Modeling and Prediction Division, Baltimore, United States, Jing Yang, Northwest A&F University, College of Water Resources and Architectural Engineering, Yangling, China and Ming Ye, Florida State University, Earth, Ocean, and Atmospheric Science, Tallahassee, United States

Applications of Ground-based Cameras for Ecohydrological Monitoring and Student Training at an Outdoor Learning Area

Mary Harner1, Troy Gilmore2, Keegan Johnson3, Jamila Bajelan1, Kenneth Chapman4, Pavan Guggilla4, Mackenzie Smith1, John Stranzl4, Chris Terry1, Maggie Wells1 and Kristen Wetovick1, (1)University of Nebraska at Kearney, Kearney, United States, (2)University of Nebraska-Lincoln, Lincoln, United States, (3)U.S. Geological Survey, Madison, United States, (4)University of Nebraska - Lincoln, School of Natural Resources, Lincoln, United States

Woman presents scientific poster to another woman at a conference
Dr. Melinda Erickson presents a poster at the 2024 American Geophysical Union conference.

Automating Physics-based Models to Estimate Thermoelectric-power Water Use and Evaluating Thermoelectric Water-use Trends for 2008-2020

Melissa A. Harris, United States Geological Survey, Nashville, United States, Lillian Gorman-Sanisaca, USGS Maryland/Delaware/District of Columbia Water Science Center, Baltimore, MD, United States, Timothy H Diehl, USGS Tennessee Water Science Center, Nashville, TN, United States, Amy Galanter, USGS New Mexico Water Science Center, Albuquerque, United States, Melissa A Lombard, New Hampshire Department of Environmental Services, Antrim, United States, Kenneth Skinner, U.S. Geological Survey Idaho Water Science Center, Boise, United States, Catherine Chamberlin, U.S. Geological Survey, New England Water Science Center, Northborough, United States, Brendan Mccarthy, U.S. Geological Survey, New England Water Science Center, Augusta, United States, Richard G Niswonger, USGS Water Resources Mission Area, Menlo Park, United States and Jana Stewart, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States

 

 

Challenges and solutions for parameter estimation in data-intensive landscape models with PEST++ and the iterative ensemble smoother

Michael N Fienen1, Adel E Haj Jr.2, Andrew J Long3 and Matthew I Barker2, (1)USGS Upper Midwest Water Science Center, Madison, United States, (2)USGS Washington Water Science Center, Tacoma, United States, (3)U.S. Geological Survey, Washington Water Science Center, Tacoma, WA, United States

Computationally Efficient Calibration and Uncertainty Estimation of WRF-Hydro in an Alpine Watershed Using an Iterative Ensemble Smoother

Ankita Pradhan, University of Wisconsin Madison, Madison, WI, United States, Daniel B Wright, University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, United States, Kaidi Peng, UNIVERSITY OF WISCONSIN-MADISON, Madison, United States, Michael N Fienen, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States and Aaron Alexander, University of Wisconsin Madison, Madison, United States

Computational Recipes for Hypothesis Testing and Water Availability Assessments with Integrated Hydrological Systems Models: A Delaware River Basin Example

Jared David Smith1, Hedeff Essaid2, Katrina Alger3, Matthew Joseph Cashman4, Aubrey L Dugger5, Kara Garvin6, Elizabeth Homa7, Anthony Martinez8, Melissa Masbruch9, Katherine Merriman10, Matthew P Miller11, Diana Pedraza12, Colin A Penn13, Howard W Reeves14, Margaux Sleckman15, Lauren Koenig16, Anthony J Tesoriero17, Theodore Thompson1, Jing Wang18, Ellie White19, Daniel R. Wise20 and Wes Zell21, (1)U.S. Geological Survey, Integrated Modeling and Prediction Division, Reston, VA, United States, (2)U.S. Geological Survey, Integrated Modeling and Prediction Division, Moffett Field, United States, (3)U.S. Geological Survey, Menlo Park, United States, (4)U.S. Geological Survey, Earth System Processes Division, Baltimore, United States, (5)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, (6)USGS Oklahoma-Texas Water Science Center, Fort Worth, United States, (7)National Center for Atmospheric Research, RAL, Boulder, United States, (8)U.S. Geological Survey, Denver, United States, (9)U.S. Geological Survey Utah Water Science Center, Salt Lake City, United States, (10)USGS New York Water Science Center Troy, Troy, United States, (11)U.S. Geological Survey, Integrated Modeling and Prediction Division, Boulder, CO, United States, (12)US Geological Survey, San Antonio, TX, United States, (13)U.S. Geological Survey, New England Water Science Center, Denver, United States, (14)US Geological Survey, Lansing, MI, United States, (15)United States Geological Survey, San Francisco, CA, United States, (16)U.S. Geological Survey, Water Mission Area, Troy, NY, United States, (17)USGS, Portland, OR, United States, (18)National Center for Atmospheric Research, Boulder, United States, (19)USGS Integrated Information Dissemination Division, Data Science Branch, Reston, United States, (20)U.S. Geological Survey, Oregon Water Science Center, Portland, United States, (21)United States Geological Survey, Reston, VA, United States

Efficient, model-independent observation processing

Andrew Leaf, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States

GRIME-AI: Open-source Software for Ecohydrological Discovery Using Ground-based Time-lapse Imagery

John Stranzl1, Troy E Gilmore1, Mary Harner2, Chris Terry2, Kenneth Chapman1, Keegan Johnson3, Andrew D Richardson4, Jamila Bajelan2 and Pavan Guggilla1, (1)University of Nebraska - Lincoln, School of Natural Resources, Lincoln, United States, (2)University of Nebraska at Kearney, Kearney, United States, (3)U.S. Geological Survey, Madison, United States, (4)Northern Arizona University, School of Informatics, Computing & Cyber Systems, Flagstaff, United States

Impacts of Coupled Plant Hydraulic and Groundwater Dynamics on Hyperresolution Water Budget Predictions

Dr. Lucas Emilio Hoeltgebaum1, Howard W Reeves2, Yanlan Liu3, Dr. Lingcheng Li, PhD4 and Meng Zhao1, (1)University of Idaho, Department of Earth and Spatial Sciences, Moscow, ID, United States, (2)US Geological Survey, Lansing, MI, United States, (3)The Ohio State University, School of Earth Sciences, Columbus, United States, (4)Pacific Northwest National Laboratory, Richland, United States

Introducing WRTDSplus: An Extension to the Weighted Regressions on Time, Discharge, and Season (WRTDS) model for a More Flexible Approach to Water-Quality Load and Trend Modeling

Jennifer Murphy1, Laura De Cicco2, Matthew Diebel2, Hannah Podzorski3 and Robert M Hirsch4, (1)US Geological Survey, Central Midwest Water Science Center, DeKalb, IL, United States, (2)US Geological Survey, Upper Midwest Water Science Center, Middleton, United States, (3)U.S. Geological Survey, Central Midwest Water Science Center, Iowa City, United States, (4)US Geological Survey, Reston, Virginia, United States

Investigation of complex nonlinear sediment transport process using decadal USGS gages: Disentangling geomorphic equifinality in sediment and hydrologic connectivity

Se Jong Cho1, Grady Ball2, Jeb E Brown2, Allen C Gellis3, Laura N. Gurley4, Scott D Hamshaw5, Jeffrey Kwang6, Andrew Laws7, Will Lund7, Gregory B Noe8, Gretchen P Oelsner9, Francis Parchaso10, Cara Peterman-Phipps11, Katherine Skalak12 and Nicholas Sutfin13, (1)USGS Geological Survey, Water Mission Area-Earth System Processes Division, Menlo Park, CA, United States, (2)U.S. Geological Survey, New Mexico Water Science Center, Albuquerque, United States, (3)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Baltimore, United States, (4)U.S. Geological Survey, South Atlantic Water Science Center, Raleigh, United States, (5)U.S. Geological Survey, Water Mission Area-Integrated Modeling and Prediction Division, Bristol, United States, (6)U.S. Geological Survey, Water Mission Area-Integrated Information Dissemination Division, St. Paul, United States, (7)U.S. Geological Survey, Upper Midwest Water Science Center, St. Paul, United States, (8)U.S. Geological Survey, Florence Bascom Geoscience Center, Reston, United States, (9)U.S. Geological Survey, New Mexico Water Science Center, Albuquerque, NM, United States, (10)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Menlo Park, United States, (11)U.S. Geological Survey, Kansas Water Science Center, Lawrence, United States, (12)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Reston, United States, (13)U.S. Geological Survey, Washington Water Science Center, Tacoma, United States

Mapping dominant processes regulating suspended sediment dynamics across the contiguous United States

Nicholas A Sutfin1, Grady Ball2, Jeb E Brown2, Se Jong Cho3, Allen C Gellis4, Laura N. Gurley5, Scott D Hamshaw6,7, Jeffrey Kwang8, Andrew Laws9, Will Lund9, Gregory B Noe10, Gretchen P Oelsner11, Francis Parchaso12, Cara Peterman-Phipps13 and Katherine Skalak14, (1)U.S. Geological Survey, Washington Water Science Center, Tacoma, United States, (2)U.S. Geological Survey, New Mexico Water Science Center, Albuquerque, United States, (3)U.S. Geological Survey, Water Mission Area - Earth System Processes Division, Reston, United States, (4)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Baltimore, United States, (5)U.S. Geological Survey, South Atlantic Water Science Center, Raleigh, United States, (6)University of Vermont, Civil & Environmental Engineering, Burlington, United States, (7)U.S. Geological Survey, Water Mission Area-Integrated Modeling and Prediction Division, Bristol, United States, (8)U.S. Geological Survey, Water Mission Area-Integrated Information Dissemination Division, St. Paul, United States, (9)U.S. Geological Survey, Upper Midwest Water Science Center, St. Paul, United States, (10)U.S. Geological Survey, Florence Bascom Geoscience Center, Reston, United States, (11)U.S. Geological Survey, New Mexico Water Science Center, Albuquerque, NM, United States, (12)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Menlo Park, United States, (13)U.S. Geological Survey, Kansas Water Science Center, Lawrence, United States, (14)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Reston, United States

Open and Transparent Workflows and Good Modeling Practices for Decision Support I Poster

Andrew Leaf1, Anneli Guthke2,3, Jeremy T White4, Michael N Fienen1 and Diana Spieler5, (1)U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States(2)University of Tübingen, Tübingen, Germany(3)University of Stuttgart, Stuttgart, Germany(4)INTERA Incorporated, Austin, United States(5)Technische Universität Dresden, Department of Hydro Sciences, Dresden, Germany

Open and Transparent Workflows and Good Modeling Practices for Decision Support II Oral

Andrew Leaf1, Anneli Guthke2, Jeremy T White3, Michael N Fienen1 and Diana Spieler4, (1)U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States(2)University of Stuttgart, Stuttgart, Germany(3)INTERA Incorporated, Austin, United States(4)Technische Universität Dresden, Department of Hydro Sciences, Dresden, Germany

Open and Transparent Workflows and Good Modeling Practices for Decision Support II Oral

Andrew Leaf1, Anneli Guthke2, Jeremy T White3, Michael N Fienen1 and Diana Spieler4, (1)U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States(2)University of Stuttgart, Stuttgart, Germany(3)INTERA Incorporated, Austin, United States(4)Technische Universität Dresden, Department of Hydro Sciences, Dresden, Germany

Open and Transparent Workflows and Good Modeling Practices for Decision Support I Poster

Andrew Leaf1, Anneli Guthke2,3, Jeremy T White4, Michael N Fienen1 and Diana Spieler5, (1)U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States(2)University of Tübingen, Tübingen, Germany(3)University of Stuttgart, Stuttgart, Germany(4)INTERA Incorporated, Austin, United States(5)Technische Universität Dresden, Department of Hydro Sciences, Dresden, Germany

Predicting Suspended Sediment Concentration and Interpreting Complex Process Dynamics Using Sediment Surrogate Timeseries, Process Guided Feature Engineering, and Interpretable Machine Learning

Will Lund1, Grady Ball2, Jeb E Brown2, Se Jong Cho3, Allen C Gellis3, Laura N. Gurley4, Scott D Hamshaw5, Jeffrey Kwang6, Andrew Laws1, Gregory B Noe7, Gretchen P Oelsner8, Francis Parchaso9, Cara Peterman-Phipps10, Katherine Skalak11 and Nicholas Sutfin12, (1)U.S. Geological Survey, Upper Midwest Water Science Center, St. Paul, United States, (2)U.S. Geological Survey, New Mexico Water Science Center, Albuquerque, United States, (3)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Baltimore, United States, (4)U.S. Geological Survey, South Atlantic Water Science Center, Raleigh, United States, (5)U.S. Geological Survey, Water Mission Area-Integrated Modeling and Prediction Division, Bristol, United States, (6)U.S. Geological Survey, Water Mission Area-Integrated Information Dissemination Division, St. Paul, United States, (7)U.S. Geological Survey, Florence Bascom Geoscience Center, Reston, United States, (8)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Albuquerque, United States, (9)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Menlo Park, United States, (10)U.S. Geological Survey, Kansas Water Science Center, Lawrence, United States, (11)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Reston, United States, (12)U.S. Geological Survey, Washington Water Science Center, Tacoma, United States

Prototyping a Nationally Consistent, Integrated, Regional Water Availability Assessment Methodology in the Delaware River Basin

Hedeff Essaid, U.S. Geological Survey, Integrated Modeling and Prediction Division, Moffett Field, United States, Jared David Smith, United States Geological Survey, Water Resources Mission Area, Reston, VA, United States, Katrina Alger, U.S. Geological Survey, Menlo Park, United States, Matthew Joseph Cashman, U.S. Geological Survey, Earth System Processes Division, Baltimore, United States, Aubrey L Dugger, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, Kara Garvin, USGS Oklahoma-Texas Water Science Center, Fort Worth, United States, Elizabeth Homa, National Center for Atmospheric Research, RAL, Boulder, United States, Anthony Martinez, U.S. Geological Survey, Denver, United States, Melissa Masbruch, University of Utah, Salt Lake City, United States, Katherine Merriman, USGS New York Water Science Center Troy, Troy, United States, Matthew P Miller, U.S. Geological Survey, Integrated Modeling and Prediction Division, Boulder, CO, United States, Diana Pedraza, US Geological Survey, San Antonio, TX, United States, Colin A Penn, U.S. Geological Survey, New England Water Science Center, Denver, United States, Howard W Reeves, US Geological Survey, Lansing, MI, United States, Margaux Sleckman, United States Geological Survey, San Francisco, CA, United States, Lauren Koenig, U.S. Geological Survey, Water Mission Area, Troy, NY, United States, Anthony J Tesoriero, USGS, Portland, OR, United States, Theodore Thompson, U.S. Geological Survey, Integrated Modeling and Prediction Division, Reston, VA, United States, Jing Wang, National Center for Atmospheric Research, Boulder, United States, Elaheh White, U.S. Geological Survey, Lakewood, CO, United States, Daniel R. Wise, U.S. Geological Survey, Oregon Water Science Center, Portland, United States and Wes Zell, United States Geological Survey (USGS), Integrated Modeling and Prediction Division, Reston, VA, United States

Regional Perspectives on Water Availability in the United States and Puerto Rico, 2010-2020

James R Degnan, U.S. Geological Survey New England Water Science Center, Pembroke, United States, Matthew Joseph Cashman, U.S. Geological Survey, Earth System Processes Division, Baltimore, United States, James Reddy, USGS New York Water Science Center Ithaca, Ithaca, United States, Dr. Melinda L Erickson, PhD, PE, U.S. Geological Survey, Upper Midwest Water Science Center, Minneapolis, United States, Amy Galanter, USGS New Mexico Water Science Center, Albuquerque, United States, Anthony Martinez, U.S. Geological Survey, Denver, United States and Katherine Powlen, USGS Geological Survey, Denver, CO, United States

The New Mars Underground: Fluids, Volatiles, and the Future of Mars Exploration I Oral 

Dr. Yu-Feng Forrest Lin, PhD, University of Illinois at Urbana-Champaign, Champaign, United States, David G Burtt, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Michael N Fienen, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States, John P Ortiz, Los Alamos National Laboratory, National Security Earth Science Group, Los Alamos, United States and Chris H Okubo, U.S. Geological Survey, Astrogeology Science Center, Flagstaff, United States

The New Mars Underground: Fluids, Volatiles, and the Future of Mars Exploration II Poster 

Dr. Yu-Feng Forrest Lin, PhD, University of Illinois at Urbana-Champaign, Champaign, United States, David G Burtt, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Michael N Fienen, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States, John P Ortiz, Los Alamos National Laboratory, National Security Earth Science Group, Los Alamos, United States and Chris H Okubo, U.S. Geological Survey, Astrogeology Science Center, Flagstaff, United States

Towards Open and Reproducible Groundwater Modeling: Reflections From Real-World Applications

Mr. Nicholas Corson-Dosch, USGS Upper Midwest Water Science Center, Madison, United States, Michael N Fienen, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States and Kalle L Jahn, U. S. Geological Survey, New York Water Science Center, Troy, United States

Translating Model Predictions to New Domains: Optimizing Predictions of Groundwater Arsenic in Minnesota

Shams Azad1, Mason Stahl2, Dr. Melinda L Erickson, PhD, PE3, Beck DeYoung4, Craig Connolly5, Anirban Basu6, Benjamin C Bostick5 and Steve N. Chillrud5, (1)Columbia University of New York, Lamont-Doherty Earth Observatory, Palisades, United States, (2)Union College, Department of Geosciences, Schenectady, NY, United States, (3)U.S. Geological Survey, Upper Midwest Water Science Center, Minneapolis, United States, (4)Union College, Schenectady, United States, (5)Lamont-Doherty Earth Observatory of Columbia University, Palisades, United States, (6)Columbia University of New York, Environmental Health Sciences, Mailman School of Public Health, New York, United States

Trends in Geogenic Constituent Concentrations in Drinking-Water Aquifers Across the Conterminous United States

Dr. Melinda L Erickson, PhD, PE, U.S. Geological Survey, Upper Midwest Water Science Center, Minneapolis, United States, Sarah M. Elliott, USGS Upper Midwest Water Science Center, Mounds View, MN, United States, MaryLynn Musgrove, USGS, Austin, TX, United States, Elise Hinman, USGS Water Resources Mission Area, Data Science Branch, Madison, United States and Bruce D Lindsey, USGS, New Cumberland, PA, United States

Using High Resolution Lidar to Identify Streambank Erosion Hotspots

Laura N. Gurley1, Grady Ball2, Jeb E Brown3, Se Jong Cho4, Allen C Gellis4, Scott D Hamshaw5, Kristina G Hopkins6, Jeffrey Kwang7, Andrew Laws8, Will Lund8, Gregory B Noe9, Gretchen P Oelsner10, Francis Parchaso11, Cara Peterman-Phipps12, Katherine Skalak13, Charles Stillwell6 and Nicholas Sutfin14, (1)U.S. Geological Survey, South Atlantic Water Science Center, Raleigh, United States, (2)U.S. Geological Survey, New Mexico Water Science Center, Albuquerque, United States, (3)USGS, New Mexico Water Science Center, Albuquerque, United States, (4)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Baltimore, United States, (5)U.S. Geological Survey, Water Mission Area-Integrated Modeling and Prediction Division, Bristol, United States, (6)USGS, South Atlantic Water Science Center, Raleigh, United States, (7)U.S. Geological Survey, Water Mission Area-Integrated Information Dissemination Division, St. Paul, United States, (8)U.S. Geological Survey, Upper Midwest Water Science Center, St. Paul, United States, (9)U.S. Geological Survey, Florence Bascom Geoscience Center, Reston, United States, (10)USGS, Water Mission Area-Earth System Processes Division, New Mexico, United States, (11)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Menlo Park, United States, (12)U.S. Geological Survey, Kansas Water Science Center, Lawrence, United States, (13)U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Reston, United States, (14)U.S. Geological Survey, Washington Water Science Center, Tacoma, United States

Version 1 of USGS’s Machine Learning-based National Stream Temperature Model

Jeremy Diaz, U.S. Geological Survey, Water Mission Area, Reston, United States, Samantha Oliver, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States, Alison Appling, U.S. Geological Survey, Water Mission Area, Middleton, United States and Lauren Koenig, U.S. Geological Survey, Water Mission Area, Troy, NY, United States

Water and Society: Advancing Water Availability Assessment by Linking Quantity and Quality with Society, Ecosystems, and Climate I Poster

Dr. Melinda L Erickson, PhD, PE, U.S. Geological Survey, Upper Midwest Water Science Center, Minneapolis, United States, Sarah Fletcher, Stanford University, Civil and Environmental Engineering, Stanford, CA, United States, Michael J Pennino, Environmental Protection Agency Washington DC, Office of Research and Development, Washington, United States, Edward Stets, U.S. Geological Survey, Water Mission Area, Mounds View, MN, United States and Galen Gorski, US Geological Survey, Reston, United States

Water and Society: Advancing Water Availability Assessment by Linking Quantity and Quality with Society, Ecosystems, and Climate II Oral

Dr. Melinda L Erickson, PhD, PE, U.S. Geological Survey, Upper Midwest Water Science Center, Minneapolis, United States, Sarah Fletcher, Stanford University, Civil and Environmental Engineering, Stanford, CA, United States, Michael J Pennino, Environmental Protection Agency Washington DC, Office of Research and Development, Washington, United States, Edward Stets, U.S. Geological Survey, Water Mission Area, Mounds View, MN, United States and Galen Gorski, US Geological Survey, Reston, United States

Water Segmentation for Water Level Determination using USGS HIVIS Imagery

Troy E Gilmore1, John Stranzl2, Mary Harner3, Keegan Johnson4, Chris Terry3, Jamila Bajelan3, Maggie Wells3, Mackenzie Smith3 and Kenneth Chapman2, (1)University of Nebraska Lincoln, Conservation and Survey Division - School of Natural Resources, Lincoln, NE, United States, (2)University of Nebraska - Lincoln, School of Natural Resources, Lincoln, United States, (3)University of Nebraska at Kearney, Kearney, United States, (4)U.S. Geological Survey, Madison, United States

Water Quality Affecting Water Availability Across the United States

Dr. Melinda L Erickson, PhD, PE, U.S. Geological Survey, Upper Midwest Water Science Center, Minneapolis, United States, Olivia Miller, U.S. Geological Survey, Utah Water Science Center, Salt Lake City, United States, Matthew Joseph Cashman, U.S. Geological Survey, Earth System Processes Division, Baltimore, United States, James R Degnan, U.S. Geological Survey New England Water Science Center, Pembroke, United States, Elmera Azadpour, USGS, Water Resources Mission Area, San Diego, United States, Anthony Martinez, U.S. Geological Survey, Denver, United States and Edward Stets, U.S. Geological Survey, Water Mission Area, Mounds View, MN, United States

Workflow for Groundwater Flow from Saturated Zone to the Upper Vadose Zone to Explore River Flooding

Rakiba Sultana, University of Wisconsin Milwaukee, Milwaukee, WI, United States, Charles Paradis, University of Wisconsin - Milwaukee, Geosciences, Milwaukee, United States, Raymond H Johnson, RSI EnTech, LLC, Contractor for the U.S. Department of Energy Office of Legacy Management, Grand Junction, United States and Michael N Fienen, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, United States

Women standing at podium with AGU24 on banner, conducting oral presentation with slide on large screen in background
Dr. Melinda Erickson conducts an oral presentation at the 2024 American Geophysical Union conference.

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