Call for abstract submission to 2020 AGU session 101372

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Di Tian

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Jun 24, 2020, 1:27:10 PM6/24/20
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Dear colleagues,

 

Apologies for cross-posting. We hope this email finds you well. We kindly invite you participate and submit abstracts to the 2020 AGU session “Utility of earth and socio-environmental observations, forecasts, and models to improve drought resilience through data-informed decision making”, which can be found in here: https://agu.confex.com/agu/fm20/prelim.cgi/Session/101372.

 

Session Description (ID: 101372):

Flash to long-term drought pose great risks on natural and human systems. Climate observations and reanalysis, numerical weather and seasonal climate predictions, satellite remote sensing, as well as statistical machine learning and process-based models can be potentially exploited to generate actionable information to manage drought in climate-sensitive sectors (such as agriculture, water resources, public health, ecosystems services, energy, and wildfire management). This session welcomes submissions of use-inspired, data-driven earth system science research, which includes, but are not limited to, weather and climate decision support systems/tools, analysis, prediction, and early warning of drought risks and impacts, monitoring and forecast systems for drought management, drought and climate services, downscaling or bridging large-scale data or information for local-scale drought management needs, index insurance for drought risk management, social science to engage stakeholders, as well as other novel uses of weather and climate forecasts, earth and socio-environmental observations, and models for drought-relevant decision support.

 

Section/Focus Group: Hydrology (crossed listed in Global Environmental Change, Earth and Space Science Informatics, and Natural Hazards)

 

The deadline for abstract submission is Wednesday July 29th, 2020 at 23:59h EDT. Please share this information to those you think might be interested.

 

 

Cheers,

 

The Session Conveners:

Di Tian, Auburn University

Natalie Nelson, North Carolina State University

Xiaogang He, Stanford University

Christopher J. Martinez, University of Florida

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