H008
Advances in Drought Monitoring and Risk Management: Integrating Remote Sensing, Stochastic Hydrology, Modeling, and Surveys
Session ID#: 250998
Session Description:
Droughts are complex extreme events impacting ecosystems, agriculture, economies, and human health. With climate change increasing their frequency and severity, there is a critical need for innovative, timely, and actionable monitoring and risk management tools. This session highlights advances in drought detection, forecasting, and risk management through the integration of remote sensing (e.g., SMAP, Sentinel, ESA CCI, MODIS, CHIRPS), stochastic hydrology, land surface modeling, and ground-based surveys. Topics include satellite-based soil moisture and vegetation stress monitoring, development of drought indices across diverse climates, machine learning applications for drought and/or drought impact forecasting, and integration of citizen science and socio-economic impacts into monitoring frameworks. We also invite abstracts on early warning systems that connect scientific outputs to decision-making at multiple scales. Emphasis will be placed on interdisciplinary approaches that support effective mitigation and adaptation strategies.
Co-Sponsor(s):
Index Terms:
1812 Drought [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1866 Soil moisture [HYDROLOGY]
1869 Stochastic hydrology [HYDROLOGY]
Primary Convener: Sara Sadri, University of Prince Edward Island, Climate Change and Adaptation, Charlottetown, PE, Canada
Conveners: Upmanu Lall, Columbia University, Earth and Environmental Engineering, New York, United States and Shraddhanand Shukla, University of California Santa Barbara, Climate Hazards Center, Geography Department, Santa Barbara, United States
Assessing Drought Vulnerability Under Climate Change Using Deep Learning Approaches (1860592)
Wei Sun1, Fi-John Chang1 and Manuela Girotto2, (1)National Taiwan University, Department of Bioenvironmental Systems Engineering, Taipei, Taiwan, (2)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, United States
Assessing the Impact of Climate Change on Groundwater Resources in Taoyuan Using THMC Model (1904423)
Yu-Chieh Ho1, Chen-Wuing Liu2, MAO-Hsiu Wei3, Wen-Lung Chen3, Lai-Hsien Chiu3, Tai-Yi Chu4, Mei-Hua Lin4 and Jui-Sheng Chen5, (1)National Central University, Kanagawa, Japan, (2)Natl Taiwan Univ, Taipei, Taiwan, (3)Department of Water Resources, Taoyuan, Taoyuan, Taiwan, (4)SINOTECH Engineering Consultants, Ltd., Taipei, Taiwan, (5)NCU National Central University of Taiwan, Graduate Institute of Applied Geology, Jhongli, Taiwan
Understanding drivers and spatial propagation of flash drought in the Contiguous United States using Deep Learning and Explainable AI (1935168)
Sophia Bakar, University of Virginia, Charlottesville, VA, United States, Hyunglok Kim, Gwangju Institute of Science and Technology (GIST), School of Environment and Energy Engineering, Gwangju, South Korea, Jeffrey B Basara, University of Oklahoma, School of Meteorology; School of Civil Engineering and Environmental Science, Norman, United States, Peter A. Beling, Virginia Tech, Grado Department of Industrial and Systems Engineering, Hume Center for National Security and Technology, Arlington, United States and Venkataraman (Venkat) Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, United States
A Non-Stationary Copula–Wavelet Framework for Diagnosing Drought Propagation Strength and Timing (1941382)
MinWoo Park, Sejong University, Seoul, South Korea, Upmanu Lall, Columbia University, Earth and Environmental Engineering, New York, United States, Naresh Devineni, Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States and Hyun-Han Kwon, Sejong University, Department of Civil and Environmental Engineering, Seoul, South Korea
The U.S. Drought Impact Reporter at 20 Years: What We Have Learned (1946614)
Kelly Helm Smith1,2, Michael J Hayes1, Denise Gutzmer2 and Mark D. Svoboda3, (1)University of Nebraska-Lincoln, School of Natural Resources, Lincoln, United States, (2)University of Nebraska Lincoln, National Drought Mitigation Center, Lincoln, United States, (3)University of Nebraska-Lincoln, National Drought Mitigation Center, Lincoln, United States
Evaluating National Water Model streamflow prediction bias during identified drought events in the Colorado River Basin (1947121)
Ryan van der Heijden1, Ali Dadkhah2, Donna M Rizzo3, Ehsan Ghazanfari4, Mandar M Dewoolkar5, Amin Aghababaei6, Eniola Webster-Esho7, Xueyi Li8, Gustavious P Williams6, Norm Jones6 and Prabhakar Clement9, (1)University of Vermont, Civil & Environmental Engineering, Burlington, VT, United States, (2)University of Vermont, Burlington, United States, (3)University of Vermont, Department of Civil and Environmental Engineering, Burlington, United States, (4)University of Vermont, Burlington, VT, United States, (5)University of Vermont, Civil & Environmental Engineering, Burlington, United States, (6)Brigham Young University, Civil and Construction Engineering, Provo, United States, (7)The University of Alabama, Tuscaloosa, United States, (8)Brigham Young University, Civil and Construction Engineering, Provo, UT, United States, (9)University of Alabama, Civil, Construction and Environmental Engineering, Tuscaloosa, United States
Analyzing Future Precipitation Extremes Patterns in the Upper Amazon Basin Using CMIP6 Scenarios. Case Study: Ucayali River (1951063)
Juan Guerrero-Gallego, Florida Institute of Technology, Melbourne, FL, United States, Steven Lazarus, Department of Ocean Engineering and Marine Sciences, Florida Institute of Technology, Melbourne, FL, United States and Nicolás Velásquez, Florida Institute of Technology, Mechanical and Civil Engineering Department, Melbourne, FL, United States
Enhancing streamflow drought simulation through calibration for the US Drought Monitor (1952684)
Timothy M Lahmers1, Nishant Kumar2, Amir Hossein Mazrooei3, Tonya Haigh4, Aubrey L Dugger3, Sujay V Kumar1, Mark D. Svoboda4 and Tirthankar Roy2, (1)NASA Goddard Space Flight Center, Greenbelt, United States, (2)University of Nebraska-Lincoln, Lincoln, United States, (3)National Center for Atmospheric Research, Boulder, United States, (4)University of Nebraska-Lincoln, National Drought Mitigation Center, Lincoln, United States
Enhancing hydrological drought monitoring for USDM end users using NASA LIS and WRF-Hydro modeling systems (1963818)
Tirthankar Roy1, Timothy M Lahmers2, Nishant Kumar3, Amir Hossein Mazrooei4, Tonya Haigh5, Aubrey L Dugger6, Sujay V Kumar2, Calvin Poulsen3 and Mark D. Svoboda5, (1)University of Nebraska Lincoln, Civil and Environmental Engineering, Lincoln, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)University of Nebraska-Lincoln, Lincoln, United States, (4)National Center for Atmospheric Research, Boulder, United States, (5)University of Nebraska-Lincoln, National Drought Mitigation Center, Lincoln, United States, (6)NSF National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States
A Multivariate Drought Index for the Combined Influence of Snow and Antecedent Soil Moisture (1968839)
Matthew Sabin, University of Colorado Boulder, Boulder, CO, UNITED STATES, Ben Livneh, University of Colorado at Boulder, Department of Civil, Environmental, and Architectural Engineering, Boulder, United States and Nels R Bjarke, Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States
Tracing Drought Propagation across Transboundary River systems in the 20th and 21st Centuries: A Case Study of the Nile River Basin (1971732)
Doaa Hegazy1, Mohamed Sultan2, Hesham Elhaddad3, Eugene Yan4 and Hadi Karimi2, (1)Department of Geological and Environmental Sciences, Western Michigan University, Kalamazoo, United States, (2)Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, MI, United States, (3)Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, United States, (4)Argonne National Laboratory, Argonne, United States
Tracking Hydrologic Drought with the United States GPS-Based Drought Index (US-GDI) (1980701)
Zachary Young, University of Montana, Department of Geosciences, Missoula, MT, United States, Hilary R Martens, Department of Geosciences, University of Montana, Missoula, United States, Zachary Harwood Hoylman, University of Montana, Franke School of Forestry and Conservation, Missoula, United States and William P Gardner, University of Montana, Missoula, MT, United States
Interacting Water Sources Shape Vegetation Phenology Across Elevation Zones and Vegetation Types in the Cosumnes Watershed (2002928)
Yushan Zou, University of California Berkeley, Berkeley, CA, United States, Manuela Girotto, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, United States and Grace Carlson, University of California Berkeley, Berkeley, United States
