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Session Proposal: <em>Coupling Climate and Hydrologic Models for Regional Hydroclimate Insights: Advances in Downscaling, Integration, and Decision-Relevant Applications</em> (AGU25)

A053
Coupling Climate and Hydrologic Models for Regional Hydroclimate Insights: Advances in Downscaling, Integration, and Decision-Relevant Applications

Session ID#: 249532

Session Description:
As global climate models (GCMs) improve in representing large-scale processes, their coarse resolution remains a key limitation for regional planning in hydrology, water resources, and climate risk management. Downscaling, statistical, dynamical, or hybrid, is essential to translate global projections into decision-relevant information. This session invites contributions at the climate-hydrology interface, especially those using coupled or interactive modeling at regional scales. We welcome studies that: (1) develop innovative statistical, machine learning, or hybrid techniques for spatial refinement, bias correction, and uncertainty analysis; (2) apply regional climate and hydrologic model frameworks; (3) evaluate hydroclimate dynamics and extremes in complex terrain; and (4) integrate downscaled information into decision-making, including co-produced metrics with impacted groups. This session fosters cross-disciplinary exchange, bridging the gap between large-scale projections and local information needs. We aim to highlight diverse approaches and real-world applications that improve the usability and impact of downscaled climate data for adaptation and preparedness.
Co-Sponsor(s):
  • GC - Global Environmental Change
  • H - Hydrology
Index Terms:

1626 Global climate models [GLOBAL CHANGE]
1627 Coupled models of the climate system [GLOBAL CHANGE]
1833 Hydroclimatology [HYDROLOGY]
3355 Regional modeling [ATMOSPHERIC PROCESSES]
Primary Convener:  Husile Bai, Vanderbilt University, Department of Earth and Environmental Sciences, Nashville, United States
Conveners:  Kathleen D Holman, Bureau of Reclamation Denver, Denver, United States, Maribeth Kniffin, US Bureau of Reclamation, Technical Service Center, Denver, United States and Courtenay Strong, University of Utah, Department of Atmospheric Sciences, Salt Lake City, United States
 
Comparing Machine Learning and Traditional Downscaling Methods for Climate Projections Under Stratospheric Aerosol Intervention (1859033)
Nina Grant1, Charles Lee2, Lili Xia1, Zhao Zhang2 and Alan Robock1, (1)Rutgers University, Department of Environmental Sciences, New Brunswick, United States, (2)Rutgers University, Department of Electrical and Computer Engineering, New Brunswick, United States
 
Assessment of the Downscaled NASA NEX-GDDP-CMIP6 Dataset for its Applications in Energy and Infrastructure Decisions (1868982)
Neha Khadka1, Bradley M Hegyi1, Falguni P2, Paul W Stackhouse Jr3 and Patrick C Taylor3, (1)Analytical Mechanics Associates, Inc., Hampton, United States, (2)NASA Langley Research Center, Hampton, United States, (3)NASA Langley Research Center, Hampton, VA, United States
 
Assessment of CMIP6 GCMs Performance in Simulating Weather and River Flow in the Western Lake Erie Basin, USA (1869726)
Fariba Babaeian1, Asmita Murumkar2, Thanh Nhan Duc Tran3, Mahesh Tapas4, Margaret Kalcic5, Jay Martin6, Lorrayne Miralha, PhD1, Venkataraman (Venkat) Lakshmi7 and Vinayak Shedekar1, (1)The Ohio State University, Department of Food, Agricultural and Biological Engineering, Columbus, United States, (2)The Ohio State University, Department of Extension, Columbus, United States, (3)University of Virginia, Civil and Environmental Engineering, Charlottesville, VA, United States, (4)The Ohio State University, Department of Food, Agricultural, and Biological Engineering, Columbus, United States, (5)University of Wisconsin, Biological Systems Engineering, Madison, WI, United States, (6)The Ohio State University, Department of Food, Agricultural and Biological Engineering, Columbus, OH, United States, (7)University of Virginia, Civil and Environmental Engineering, Charlottesville, United States
 
Integrated Downscaling and Coupled Climate-Hydrologic Modeling Reveal Groundwater Sustainability Challenges under Climate and Population Change in the Varuna River Basin, India (1872672)
Ranveer Kumar, Shishir Gaur and Anurag Ohri, Indian Institute of Technology (Banaras Hindu University) Varanasi, Department of Civil Engineering, Varanasi, India
 
Emerging Hydrologic Shifts in California’s Critical Basins from 0.5° to 3.5°C of Warming (1899361)
Benjamin Bass1, Lu Su2, David W Pierce2, Stefan Rahimi3, Alex Hall4, Daniel R Cayan2, Will Krantz5, Alan Rhoades6 and Paul Ullrich7, (1)University of California Los Angeles, Atmoshperic and Oceanic Sciences, Los Angeles, CA, United States, (2)University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States, (3)University of Wyoming, Atmospheric Science, Laramie, United States, (4)University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, United States, (5)University of California Los Angeles, Institute of the Environment and Sustainability, Los Angeles, United States, (6)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (7)Lawrence Livermore National Laboratory, Livermore, United States
 
Projecting Upper Mississippi River Basin Flows Using Downscaled CESM-LE Ensemble Members (1902683)
Olivia McCauley, Iowa State University, Department of the Earth, Atmosphere, and Climate, Ames, United States, William J Gutowski Jr, Iowa State Univ, Department of the Earth, Atmosphere, and Climate, Ames, United States, Stefan Rahimi, University of Wyoming, Atmospheric Science, Laramie, United States and Philip W Gassman, Iowa State University, Center for Agricultural and Rural Development, Ames, United States
 
A Statewide Weather Generator for Climate Change Impact Assessments in Massachusetts (1911351)
Dr. Nasser Najibi, University of Florida, Gainesville, United States and Scott Steinschneider, Cornell University, Ithaca, United States
 
From Skill to Value: Understanding the relationship between water supply forecast errors and economic value (Invited) (1921472)
Ben Livneh, University of Colorado at Boulder, Department of Civil, Environmental, and Architectural Engineering, Boulder, United States and Parthkumar Modi, University of Colorado at Boulder, Department of Civil, Environmental and Architectural Engineering, Boulder, CO, United States
 
Integrating socio-hydrological and climate models for improved water management under climate change (1943078)
Peter Greve1, Amelie Schmitt2, Abhinav Dengri2 and Sina Schreiber2, (1)Helmholtz Zentrum HEREON, Geesthacht, Schleswig-Holstein, GERMANY, (2)Helmholtz Zentrum HEREON, Geesthacht, Germany
 
Assessment of Satellite-based Precipitation Datasets across Agro-Ecological Zones in the Guder Sub-basin: Insights for the Upper Blue Nile Basin, Ethiopia. (1949373)
Sintayehu Fetene Demessie, Kotebe University of Education, College of Bussiness, Technology and Vocational Education, Urban Environmental Management, Addis Ababa, Ethiopia, Yihun Dile Taddele, Stockholm Resilience Center, Stockholm, Sweden, Bobe Bedadi, Haramaya University, Africa Center of Excellence for Climate-Smart Agriculture and Biodiversity Conservation, Dire Dawa, Ethiopia and Temesgen Gashaw Tarkegn, Bahir Dar University, College of Agriculture and Environmental Science, Bahir Dar, Ethiopia
 
Significance of Nominal Climate Model Resolution in Representing Hydroclimatic Extremes in High Mountain Asia (1954591)
Anju Vijayan Nair1, Diogo Stalin de Alcantara Araujo1, Bor-Ting Jong2 and Efthymios Ioannis Nikolopoulos1, (1)Rutgers University, Department of Civil and Environmental Engineering, New Brunswick, United States, (2)Princeton University, Princeton, United States
 
Estimated water consumption under sixteen climate change scenarios for an arid U.S. metropolitan area (1956037)
Matthew Marcus, University of Arizona, Tucson, AZ, United States, Kevin E Lansey, Univ Arizona, Tucson, AZ, United States and Philip Stoker, University of Arizona, Engineering, Tucson, United States
 
Applying the AI Weather Prediction Revolution to Regional Hydroclimate: Coupling, Scales, and Reliability (Invited) (1960785)
Ethan D Gutmann1, Kyle Sha2, Andrew James Newman2, Rachel Rose McCrary3, Seth A McGinnis4, William Ryan Currier5, Kathryn Newman6, Tracy Hertneky7, Nicholas Lybarger8 and David John Gagne II9, (1)NSF National Center for Atmospheric Research, Hydrometeorological Applications Program, Research Applications Laboratory, Boulder, United States, (2)NSF National Center for Atmospheric Research, Boulder, United States, (3)National Center for Atmospheric Research, Boulder, United States, (4)National Center for Atmospheric Research, Boulder, CO, United States, (5)NOAA Physical Sciences Laboratory, Boulder, United States, (6)NSF NCAR, Boulder, United States, (7)NCAR, RAL, Boulder, United States, (8)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (9)NCAR/MMM, Boulder, United States
 
Elevation Controls on Energy and Temperature Responses to Snow/Ice Loss in Patagonia (1963853)
Zihan Sun, Vanderbilt University, Nashville, TN, United States, Husile Bai, Vanderbilt University, Department of Earth and Environmental Sciences, Nashville, United States and HeMing Xiao, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, CMCC, Lecce, Italy
 
Enhancing Resilience to Sediment Hazards: CMIP6 Projections for the Awash River Basin (1972669)
Hailemariam Doko, University of Tsukuba, Engineering Mechanics and Energy, Tsukuba, Japan and Dairaku Koji, University of Tsukuba Graduate School of Systems and Information Engineering, Tsukuba, Japan
 
Impacts of Hurricane Defoliation in Puerto Rico with Dynamically Downscaled Projections in Mid-to-Late Century Climates (1979837)
Alison Banks, Organization Not Listed, Washington, DC, United States, Thomas L Mote, Univ Georgia, Athens, GA, United States, Jonathon Preece, University of Georgia, Athens, GA, United States and Paul Miller, Louisiana State University, Department of Oceanography and Coastal Sciences, Baton Rouge, United States
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