H178
Utility of Earth and Socioenvironmental Observations, Forecasts, and Models to Improve Drought Resilience Through Data-Informed Decision-Making I eLightning

Tuesday, 15 December 2020: 08:30-09:30
Virtual
Primary Convener:  Di Tian, Auburn University, Auburn, AL, United States
Conveners:  Christopher J Martinez, University of Florida, Gainesville, FL, United States, Xiaogang He, Stanford University, Stanford, CA, United States and Natalie Nelson, North Carolina State University, Biological and Agricultural Engineering, Raleigh, NC, United States
Primary Liaison:  Di Tian, Auburn University, Auburn, AL, United States
Chairs:  Di Tian1, Christopher J Martinez2, Xiaogang He3 and Natalie Nelson2, (1)Auburn University, Auburn, AL, United States(2)University of Florida, Ft Walton Beach, FL, United States(3)Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
OSPA Liaison:  Natalie Nelson, University of Florida, Ft Walton Beach, FL, United States
08:30
H178-01
Linking Drought Monitoring Tools using Earth Observation to Decision-Making in Disaster Management and building Resilience (Invited) (663535)
Tsegaye Tadesse, National Drought Mitigation Center, University of Nebraska-Lincoln, Lincoln, NE, United States
08:33
H178-02
Incorporating Urban Form Dynamics into Water Demand Management (Invited) (757552)
Newsha Khodatalab Ajami, Stanford University, Woods Institute for the Environment, Stanford, CA, United States and Kimberly Quesnel, Stanford University, Civil and Environmental Engineering, Stanford, CA, United States
08:36
H178-03
Influence of precipitation forcing uncertainty on drought monitoring in South Asia (681179)
Toma Rani Saha, Pallav Kumar Shrestha, Stephan Thober, Oldrich Rakovec and Luis Samaniego, Helmholtz Centre for Environmental Research - UFZ, Computational Hydrosystems, Leipzig, Germany
08:39
H178-04
­Investigating benefits from additional recharge facilities within the American River Basin (709164)
Mahesh Lal Maskey1, Josue Medellin-Azuara1, Angel Santiago Fernandez Bou1, Alexander Guzman1, Erfan Goharian2 and Mustafa Sahin Dogan3, (1)University of California Merced, Civil and Environmental Engineering, Water Systems Management Lab, Merced, CA, United States, (2)University of South Carolina, Civil and Environmental Engineering, Columbia, SC, United States, (3)University of California Davis, Davis, CA, United States
08:42
H178-05
Data Imputation, Scaling, and Homogenization (DISH): Drought and Employment Nexus (711579)
Justin Thompson1, Alexander Y Sun2 and Michael Young1, (1)University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, TX, United States, (2)University of Texas at Austin, Austin, TX, United States
08:45
H178-07
Global scale analysis of drought impact on croplands: a remote sensing approach (725777)
Olena Dubovyk1, Simon König1, Ehsan Eyshi Rezaei2, Stefan Siebert2 and Gohar Ghazaryan3, (1)University of Bonn, Remote Sensing Research Group (RSRG), Bonn, Germany, (2)University of Göttingen, Department of Crop Sciences, Göttingen, Germany, (3)University of Bonn, Center for Remote Sensing of Land Surfaces (ZFL), Bonn, Germany
08:48
H178-08
Ocean-atmospheric Anomalies and Simulated Snow Cover Data Improve Statistical Forecasts of Seasonal Discharge in Central Asia (726849)
Atabek Umirbekov, Leibniz Institute of Agricultural Development in Transition Economies, Halle, Germany and Daniel Müller, Leibniz Institute of Agricultural Development in Transition Economies, Structural Development of Farms and Rural Areas, Halle Saale, Germany
08:51
H178-09
Modeling the Worst-Case-Scenario of Soil Drydown for Agricultural Drought Monitoring in Kansas Using NASA Earth Observations and In-situ Parameters (731487)
Andrew Shannon, Max Dunsker, Danika Mosher and Krishna Tiwari, NASA DEVELOP Program - SSAI, NOAA's National Centers for Environmental Information, Asheville, NC, United States
08:54
H178-10
Deep Learning for Daily Precipitation and Temperature Downscaling (732077)
Fang Wang, Auburn University, Crop, Soil and Environmental Sciences, Auburn, AL, United States, Di Tian, Auburn University, Auburn, AL, United States, Lisa Lowe, North Carolina State University, Office of Information Technology, Raleigh, NC, United States, Latif Kalin, Auburun University, School of Forestry and Wildlife Sciences, Auburn, AL, United States and John C Lehrter, University of South Alabama, Marine Sciences, Mobile, AL, United States; Dauphin Island Sea Lab, Dauphin Island, AL, United States
08:57
H178-11
Evaluating Future Hydrological Drought under A Changing Climate using A Reservoir Storage Drought Index in the United States (741206)
Bingjie Zhao1, Gang Zhao1, Shih-Chieh Kao2, Yao Li1 and Huilin Gao1, (1)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, TX, United States, (2)Oak Ridge National Laboratory, Oak Ridge, TN, United States
09:00
H178-12
Evaluating the Benefits of the New ‘State of the Art’ Multi-Year El Nino-Southern Oscillation (ENSO) Forecasts for Improving the Operational Proficiency for Lake Okeechobee and the Regional Hydrologic System of south-central Florida (753409)
Paul Trimble, South Florida Water Management District - Retired, Hydrologic Modeling, West Palm Beach, FL, United States and Beheen M Trimble, Lynker Technologies, Science and Information Group, Boulder, CO, United States
09:03
H178-13
Assessing potential evaporation for drought modelling in southeast Australia (767811)
Esther Zhu1, Anthony John Clark1, Jennifer B Wurtzel2, Kimberly Broadfoot3, Scott Wallace3 and Kimberly Broadfoot, (1)Orange Agricultural Institute, New South Wales Department of Primary Industries, Australia, Sydney, Australia, (2)NSW Department of Primary Industries, Orange, NSW, Australia, (3)Orange Agricultural Institute, New South Wales Department of Primary Industries, Australia, Orange, Australia
09:06
H178-14
Spatial meteorological drought forecasting using deep learning for New South Wales, Australia (769673)
Abhirup Dikshit1, Biswajeet Pradhan1 and Alfredo R Huete2, (1)University of Technology Sydney, Centre for Advanced Modelling and Geospatial Information Systems, Faculty of Engineering and IT, Ultimo, NSW, Australia, (2)University of Technology Sydney, Faculty of Science, Ultimo, NSW, Australia
09:09
Discussion
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