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  • H21B: Advances in Drought Monitoring and Risk Management: Integrating Remote Sensing, Stochastic Hydrology, Modeling, and Surveys I Oral
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  • Location Icon243-244
    NOLA CC
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Primary Convener:
Sara Sadri, University of Prince Edward Island

Convener:
Upmanu Lall, Columbia University
Shraddhanand Shukla, University of California Santa Barbara

Chair:
Sara Sadri, Princeton University
Upmanu Lall, Columbia University

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.

Index Terms
1812 Drought
1855 Remote sensing
1866 Soil moisture
1869 Stochastic hydrology

Cross-Listed:
SY - Science and Society
A - Atmospheric Sciences
GC - Global Environmental Change

Neighborhoods:
3. Earth Covering

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