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Session Proposal: Science in Action: NASA Earth Observations Enabling Advances in Water Management (AGU25)

H130
Science in Action: NASA Earth Observations Enabling Advances in Water Management

Session ID#: 251643

Session Description:
Satellite Earth observations are increasingly used in complement with in-situ monitoring to meet growing demands for timely, actionable water information. As competing demands on water intensify globally, decisions around water management are becoming more complex, requiring innovative, scalable solutions. This session highlights advances in water resources understanding and decision-making made possible through the integration of NASA’s satellite Earth observations either directly or through data assimilation and AI/ML into hydrologic modeling systems. We welcome contributions that bridge research and practice to address drought and flood risk, water quantity and quality, and groundwater sustainability. We are interested in water management approaches that enhance spatio-temporal fidelity, reduce uncertainty, and support decision-making. Submissions that demonstrate how NASA-based innovations are helping local, state, and industry organizations better assess water-related risks and build resilience are strongly encouraged, as are case studies that showcase real-world impact, multi-sectoral collaboration, co-production with end users, or the scalability of solutions.
Co-Sponsor(s):
  • SY - Science and Society
Index Terms:

1834 Human impacts [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1878 Water/energy interactions [HYDROLOGY]
1880 Water management [HYDROLOGY]
Primary Convener:  Erin Urquhart, NASA Headquarters, Water Resources Program, Washington, United States
Conveners:  Craig R Ferguson, NASA Headquarters, Water and Energy Cycle Focus Area, Washington, United States, Jared Keith Entin, NASA Headquarters, Terrestrial Hydrology Program, Washington, United States and Perry Oddo, NASA Headquarters, Water Resources Program, Washington, United States; Analytical Mechanics Associates, Hampton, United States
 
Reaching ARL 9: Advancing a Nasa-Driven Operational Water Resources Tool with the New Mexico Office of the State Engineer (1854184)
Scott Davidoff1, Ryan Stonebreaker2, Holland Hatch3, Ryan Joshi4, Julie Valdez5, Matthew Nelson5, Gregory Hillard Halverson6, Madeleine Pascolini-Campbell2, Savannah Cooley7 and Joshua B. Fisher8, (1)Space Science Institute, Planetary Science, Boulder, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)Chapman University, Orange, United States, (4)Chapman University, Fowler School of Engineering, Orange, United States, (5)New Mexico Office of the State Engineer, Santa Fe, United States, (6)Jet Propulsion Laboratory, Pasadena, CA, United States, (7)NASA Ames Research Center, Earth Science Division, Moffett Field, United States, (8)Hydrosat, Washington, DC, United States
 
Sediment Plumes and Blooms: Using Earth Observations and Modeling to Forecast Post-Fire impacts to Reservoir Water Quality (1885456)
Mary Ellen Miller1, Ray Watkins2, Michael Billmire3, Lucille Buller3, Michael Sayers4, Nicholas Dobson5, Sarah Lewis6 and Peter Robichaud7, (1)Michigan Technological University, Michigan Technology Research Institute, Houghton, MI, United States, (2)Michigan Tech Research Inst, Ann Arbor, MI, United States, (3)Michigan Technological University, Michigan Tech Research Institute, Ann Arbor, United States, (4)Michigan Tech Research Institute, Ann Arbor, MI, United States, (5)Michigan Technological University, MTRI, Houghton, United States, (6)USDA Forest Service Rocky Mountain Research Station, Moscow, United States, (7)USDA Forest Service, Moscow, United States
 
From Pixels to Operational Forecasting: Assessing a Distributed Process-based Snowmelt Model informed by Remotely Sensed Snow Albedo Across the Upper Colorado River Headwater Basins (1902111)
J Michelle Hu, University of Utah, School of Environment, Society & Sustainability, Salt Lake City, UT, United States, Joachim Meyer, Boise State University, Geosciences, Boise, ID, United States and S. McKenzie Skiles, University of Utah, School of Environment, Society & Sustainability, Salt Lake City, United States
 
Identifying Drivers of Hydrological Change to Support Adaptive Water Management Under Mega-drought in Santiago, Chile (1923432)
Kate Cullen, University of California Berkeley, Berkeley, CA, United States, Megan Mills-Novoa, University of California, Berkeley, Energy & Resources Group and Department of Environmental Science, Policy, and Management, Berkeley, United States, Manuela Girotto, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, United States, Sebastian Vicuña, Pontificia Universidad Católica de Chile, Departamento de Ingeniería Hidráulica y Ambiental, Santiago, Chile and Richard B. Lammers, University of New Hampshire, Earth Systems Research Center, Durham, United States
 
Revisiting the Application of the Variable Infiltration Capacity (VIC) Model in the Colorado River Basin using NASA Earth Observations (1923488)
Zhaocheng Wang1, Swastik Ghimire2, Kristen Marie Whitney3, Theodore Bohn4, Mu Xiao5, Haowen Yue6, Giuseppe Mascaro7 and Enrique R Vivoni7, (1)Arizona State University, Center for Hydrologic Innovations, Tempe, AZ, United States, (2)Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, United States, (3)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States, (4)WattIQ, San Francisco, United States, (5)University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States, (6)University of California Los Angeles, Los Angeles, United States, (7)Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States
 
Lessons from Implementing a Root-Zone Soil Moisture Data Assimilation System for Vineyard Irrigation Management (1934478)
Fangni Lei, University of Connecticut, School of Civil and Environmental Engineering, Storrs, United States, Qudus Uthman, University of Florida, Soil, Water, and Ecosystem Sciences, Ft Walton Beach, FL, United States, Christopher Hain, NASA Marshall Space Flight Cetner, Huntsville, United States and Yun Yang, College of Agriculture and Life Sciences, Cornell University, Ithaca, United States
 
Remote sensing of the mountain snowpack under hydrologic extremes: transformative information at the nexus of science and stakeholders (Invited) (1935175)
Noah P Molotch1, Leanne Lestak2, Emma Tyrrell1 and Karl Rittger3, (1)University of Colorado at Boulder, Geography / INSTAAR, Boulder, United States, (2)Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO, United States, (3)University of Colorado at Boulder, Institute for Arctic and Alpine Research, Boulder, United States
 
Utilizing NASA datasets to understand causes of river flooding in near-natural watersheds (Invited) (1938858)
Ebrahim Ahmadisharaf, Resilient Infrastructure and Disaster Response Center, FAMU-FSU College of Engineering, Tallahassee, United States, Piyush Dahal, Florida State University, Tallahassee, United States, Ehsan Jalilvand, PhD, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States, Sujay V Kumar, NASA Goddard Space Flight Center, Greenbelt, United States and Narendra N Das, Michigan State University, Department of Biosystems & Agricultural Engineering, East Lansing, United States
 
RECLAIM: A Machine Learning Approach to Estimating Reservoir Storage Loss from Sedimentation (1939885)
Sanchit Minocha and Faisal Hossain, University of Washington Seattle Campus, Department of Civil and Environmental Engineering, Seattle, United States
 
Satellite Remote Sensing for Strategic Reservoir Operations Toward Effective Riverine Ecosystem Outcomes (1946926)
George Darkwah and Faisal Hossain, University of Washington Seattle Campus, Department of Civil and Environmental Engineering, Seattle, United States
 
ReVap: Monitoring and Forecasting Daily Reservoir Evaporation in the Western U.S. (1952929)
Huilin Gao1, Anshul Yadav1, Dr. Bingjie Zhao2, Christopher Pearson3, Kathleen Holman4, George H. Allen5, Thomas Ott3, Katie A. McQuillan6, Yinuo Zhu7 and Justin L Huntington3, (1)Texas A&M University College Station, College Station, TX, United States, (2)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, TX, United States, (3)Desert Research Institute, Division of Hydrologic Sciences, Reno, United States, (4)Bureau of Reclamation Denver, Denver, United States, (5)Virginia Tech, Department of Geosciences, Blacksburg, United States, (6)North Carolina State University, Forestry and Natural Resources, Raleigh, NC, United States, (7)Texas A&M University College Station, Zachry Department of Civil Engineering, College Station, United States
 
Snow Today: Scalable Characterization of Snow for Use in Water Supply Forecasting and Management (1955152)
Karl Rittger1, Ross Palomaki1, Noah P Molotch2, Ann Windnagel3, Mark S Raleigh4, Edward Bair5, Mark C Serreze3, Logan Stephenson1, Urs Bohn6, Chris Frans7, John Lhotak8, Dave Streubel9, William P Miller8, Cody Moser8, Jonathan P. Conway10, Patrick Kormos11 and David Casson12, (1)University of Colorado at Boulder, Institute for Arctic and Alpine Research, Boulder, United States, (2)University of Colorado at Boulder, Geography / INSTAAR, Boulder, United States, (3)University of Colorado at Boulder, CIRES, National Snow and Ice Data Center, Boulder, United States, (4)Oregon State University, College of Earth, Ocean, and Atmospheric Sciences, Corvallis, OR, United States, (5)Leidos, Inc., Reston, United States, (6)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (7)Bureau of Reclamation, Denver, United States, (8)NOAA Colorado Basin River Forecast Center, National Weather Service, Salt Lake City, United States, (9)NOAA Alaska Pacific River Forecast Center, National Weather Service, Anchorage, United States, (10)Earth Sciences New Zealand, National Institute of Water and Atmospheric Research, Lauder, New Zealand, (11)NRCS, National Water and Climate Center, Salt Lake City, United States, (12)University of Calgary, Calgary, AB, Canada
 
Applying EVDT framework to assess socioeconomic vulnerability and drought severity using SMAP satellite data to support decision-making needs (1956777)
Md Sariful Islam, PhD1, Yusuke Kuwayama2, Dara Entekhabi3, Catherine Lu4, Katlyn M Turner5, Zolana Joao6, Vangiliya Filipe Pereira7, Osvaldo Porto7, Luciano Lupedia7, Ivandro Rodrigues7 and Danielle Wood8, (1)Massachusetts Institute of Technology, Media Lab, Cambridge, United States, (2)Resources for the Future, Washington, United States, (3)Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States, (4)Massachusetts Institute of Technology, Cambridge, United States, (5)University of Michigan Ann Arbor, Ann Arbor, United States, (6)Angolan Space Program Management Office (GGPEN), Lunda, Angola, (7)Angolan Space Program Management Office, Luanda, Angola, (8)Massachusetts Institute of Technology, Department of Media Arts and Sciences; Department of Aeronautics and Astronautics, Cambridge, MA, United States
 
A Collaborative Human-Centered Design Approach Towards New NASAProducts for Satellite Snow Monitoring (1957531)
Adrian Marziliano, University of New Mexico Main Campus, Albuquerque, NM, United States, Yolanda C Lin, Nanyang Technological University, Asian School of the Environment, Singapore, Singapore, Emma Metcalf, Bureau of Reclamation Albuquerque, Albuquerque, United States and Chris Frans, Bureau of Reclamation, Denver, United States
 
Groundwater Depletion Amid Recharge Efforts in the San Luis Valley, Colorado: Insights from In-Situ and Satellite Data (1957835)
Abdullah Al Fatta1, Ryan Smith1, Sanaz Vajedian2, Willem Schreuder3 and James J Butler Jr4, (1)Colorado State University, Civil and Environmental Engineering, Fort Collins, United States, (2)Missouri University of Science and Technology, Rolla, United States, (3)Principia Mathematica, Lakewood, United States, (4)University of Kansas, Kansas Geological Survey, Lawrence, United States
 
Global Riverine Flood Inundation Maps for the GEOGLOWS River Forecast System Using ARC and Curve2Flood with Ensembles of DEMs (1959508)
Louis Rosas1, Riley Hales2, Jim Nelson3, Pitamber Wagle4, Michael L Follum5, Joseph Lee Gutenson5 and Angelica L. Gutierrez6, (1)Brigham Young University, Provo, United States, (2)Brigham Young University, Civil and Environmental Engineering, Provo, United States, (3)Brigham Young University, Civil and Environmental Engineering, Provo, UT, United States, (4)Brigham Young University, Provo, UT, United States, (5)Follum Hydrologic Solutions, Casper, United States, (6)National Oceanic and Atmospheric Administration (NOAA)/ NESDIS International and Interagency Affairs Division (IIAD), Silver Spring, MD, United States
 
How does climate influence evaporation suppression efficiency in shallow water reservoirs covered with floating elements? (1960878)
Emad Mashayekh1, Milad Aminzadeh2,3, Dani Or4,5, Hamid R. Safavi6, Nima Shokri2,3 and Leila Farhadi1, (1)George Washington University, Department of Civil and Environmental Engineering, Washington, DC, United States, (2)Hamburg University of Technology, Institute of Geo-Hydroinformatics, Hamburg, Germany, (3)United Nations University Hub on Engineering to Face Climate Change at the Hamburg University of Technology, United Nations University Institute for Water, Environment and Health (UNU-INWEH), Hamburg, Germany, (4)ETH Zurich, Department of Environmental Systems Science, Zürich, Switzerland, (5)University of Nevada Reno, Department of Civil and Environmental Engineering, Reno, United States, (6)Isfahan University of Technology, Department of Civil Engineering, Isfahan, Iran
 
Global SAR-Based Inundation and Crop Yield Forecasting System for Decision Support (1967702)
Chandana Gangodagamage1, Raphael Muamba Tshimanga2, Sam Lamont3, Thomas E Adams III4, Krish Matta5, Shayana Venukanthan6, Isun Randila Bandara Kandegedara7, Lasidu Dilshan8, Charon M Birkett9, Ravija Dulnath8, Michael T Durand10 and Pabasara Palihena11, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of Kinshasa, Congo Basin Water Resources Research Center (CRREBaC) & Dept. Natural Resources Management, Kinshasa, Congo, (3)One Concern, Inc., Menlo Park, CA, United States, (4)Virginia Tech, Civil and Environmental Engineering, Blacksburg, VA, United States, (5)Carnegie Mellon University, School of Computer Science, Pittsburgh, United States, (6)Stanford University, Computer Science Department, Stanford, United States, (7)University of Moratuwa, Electrical and Computer Engineering, Moratuwa, Sri Lanka, (8)University of Moratuwa, Electronics and Telecommunication, Moratuwa, Sri Lanka, (9)NASA Goddard Space Flight Center, Greenbelt, United States, (10)Byrd Polar and Climate Research Center, Columbus, United States, (11)Technische Universität Chemnitz, Web Engineering, Chemnitz, Germany
 
Integrating Metadata into US Irrigation Remote Sensing Products for Enhanced Usability (1970601)
Jeremy Rapp and Anthony D Kendall, Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, United States
 
Forecasting Major Flood Events in the Sudd Wetlands of South Sudan: Leveraging Satellite Datasets and Earth System Models for Science-Based Decision Support (1970837)
Kimberly Slinski1, Md Shahriar Pervez2, James P Verdin3, Abheera Hazra4, Amy McNally4, Karyn M. Tabor5, Laura Harrison6, Shraddhanand Shukla7, Chris C Funk7, Chris Shitote8 and Michael E Budde9, (1)Earth System Science Interdisciplinary Center, COLLEGE PARK, MD, United States, (2)USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD, United States, (3)University of Maryland College Park, College Park, MD, United States, (4)NASA Goddard Space Flight Center, Greenbelt, United States, (5)US Agency for International Development, Falls Church, United States, (6)University of California Santa Barbara, Climate Hazards Center, Geography Department, Santa Barbara, CA, United States, (7)University of California Santa Barbara, Climate Hazards Center, Geography Department, Santa Barbara, United States, (8)FEWS NET, Nairobi, Kenya, (9)Earth Resources Observation Systems Sioux Falls, Sioux Falls, United States
 
Seasonal Water Resource Allocation Informed by Co-Produced Climate Data: Insights from the Florida Water and Climate Alliance (1979365)
Tirusew Asefa, Tampa Bay Water, Clearwater, United States, Hui Wang, Tampa Bay Water, Clearwater, FL, United States, Solomon Erkyihun, Tampa Bay Water, Dunedin, FL, United States, Vasubandhu Misra, Florida State University, Earth, Ocean and Atmospheric Science, Tallahassee, United States and Jasmeet Judge, Center for Remote Sensing, Agricultural and Biological Engineering, University of Florida, Gainesville, United States
 
ET workflows and analytics for Maize water footprint and productivity estimates in arid to semi arid irrigation districts in Mexico (1981922)
Sergio Jimenez-Jimenez1,2, Mariana Marcial-Pablo2, Ernesto Sifuentes-Ibarra3 and Francisco Munoz-Arriola4, (1)Organization Not Listed, Washington, DC, United States, (2)INIFAP-CENID RASPA, Centro Nacional de Investigación Disciplinaria en Relación Agua-Suelo-Planta-Atmósfera, Torreon, Mexico, (3)INIFAP, Campo Experimental Valle del Fuerte-INIFAP, Juan Jose Rios, Mexico, (4)Department of Biological Systems Engineering & School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States
 
Linkage of OpenET with irrigation decision support systems in the Western U.S. (1984809)
Ayse Kilic, University of Nebraska Lincoln, Lincoln, NE, United States, Lee Johnson, CSU Monterey Bay, NASA ARC-CREST, Moffett Field, United States, Michael Cahn, UC Cooperative Extension, Salinas, United States, Troy Peters, Washington State University, Pullman, WA, United States, Allan Andales, Colorado State University, Soil and Crop Sciences, Fort Collins, CO, United States, Samuel Ortega-Salazar, University of Nebraska Lincoln, Lincoln, United States, Timothy Martin, Colorado State University, Innovative Irrigation Center, Fort Collins, United States, Richard G. Allen, University of Idaho, Boise, United States, Mig Shyaka, University of Nebraska Lincoln, School of Natural Resources, Lincoln, United States and Wub Yilma, Colorado State University, Irrigation Innovation Consortium, Fort Collins, United States
 
Evaluating Climate Vulnerability of Groundwater Dependent Ecosystems in Western U.S. National Parks using Earth Observations (1985926)
Alexander C Brooks1, Eric Jensen2, Steven Rice3, David J. Lawrence4, Sayantan Majumdar5, John Umek6, Tyler Gilkerson7, Mark B Hausner5 and Justin L Huntington5, (1)Desert Research Institute, Division of Hydrologic Science, Durango, United States, (2)Desert Research Institute, Reno, United States, (3)National Park Service Fort Collins, Fort Collins, United States, (4)National Park Service Fort Collins, Climate Change Response Program, Fort Collins, United States, (5)Desert Research Institute, Division of Hydrologic Sciences, Reno, United States, (6)Desert Research Institute Reno, Reno, United States, (7)National Park Service Fort Collins, Flagstaff, United States
 
Less is more: Strategic snowpack observations outperform basin-wide mapping for water supply predictions across the western U.S. (1994454)
Mark S Raleigh, Oregon State University, College of Earth, Ocean, and Atmospheric Sciences, Corvallis, OR, United States, Eric E Small, University of Colorado at Boulder, Department of Geological Sciences, Boulder, United States, Edward Bair, Leidos, Inc., Reston, United States, Cam Wobus, CK Blueshift, Boulder, CO, United States and Karl Rittger, University of Colorado at Boulder, Institute for Arctic and Alpine Research, Boulder, United States
 
From Demand to Use: Evaluating Forecast-Based Reference Evapotranspiration and Satellite-Derived Evapotranspiration in California Agriculture (1998056)
Rouhin Mitra, University of California Los Angeles, Los Angeles, United States, Andre Daccache, University of California Davis, Davis, United States, Aliasghar Montazar, University of California Division of Agriculture and Natural Resources, Davis, United States and Prof. Mekonnen K Gebremichael, PhD, University of California, Los Angeles, United States
 
Applications of Machine Learning in Enhancing Evaporation Estimation for Small Reservoirs: A Case Study in Semi-Arid South Texas (1998736)
Syed Muhammad Fahad Abdullah1, Chu-Lin Cheng2, Jude Benavides3, Rafael Almeida4 and Jungseok Ho1, (1)University of Texas Rio Grande Valley, Department of Civil Engineering, Edinburg, United States, (2)University of Texas Rio Grande Valley, School of Earth, Environmental, and Marine Sciences, Edinburg, United States, (3)University of Texas Rio Grande Valley, School of Earth, Environmental, and Marine Sciences, Brownsville, United States, (4)Indiana University, O'Neill School of Public and Environmental Affairs, Bloomington, United States
 
Towards a Global High-Resolution Flash Flood Climatology: Leveraging Simulation and Multi-Source Validation (1998831)
Vanessa Robledo, University of Iowa, IIHR-Hydroscience & Engineering, Iowa City, IA, United States, Mohamed Abdelkader, University of Iowa, IIHR—Hydroscience & Engineering, Iowa City, United States, Andrew Kruczkiewicz, Columbia University, International Research Institute for Climate and Society, Palisades, NY, United States and Humberto J Vergara, PhD, Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States
 
Investigating the Utility of Satellite Earth Observations to Characterize Mesoscale Convective Systems for Actionable Flash Flood Forecasts (2000926)
Humberto J Vergara, PhD, University of Iowa, IIHR-Hydroscience & Engineering, Iowa City, United States and Vanessa Robledo, University of Iowa, IIHR-Hydroscience & Engineering, Iowa City, IA, United States
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