[RegCNET] Call for Abstracts: GC070: Predictive Understanding of Compound and Cascading Extremes and their Impacts

[Ashfaq, Moetasim]

Dear Colleagues, 

we invite your contributions to our session " GC070: Predictive Understanding of Compound and Cascading Extremes and their Impacts “.  The description of the session is provided below:

GC070: Predictive Understanding of Compound and Cascading Extremes and their Impacts

 Compound extremes are simultaneous or sequential occurrence of multiple environmental stressors over the same geographical region that collectively represent extreme hazardous conditions, or it can be concurrent occurrence of similar or distinct extremes with common drivers over multiple geographical regions. Some examples of compounding extremes include: i) drought and heatwave, ii) extreme precipitation and strong winds/storm surge, iii) hot, dry and windy conditions, and iv) spatially concurrent droughts. They represent rare states in the Earth system that expose social-ecological systems to hazardous unaccustomed environments with adverse consequences. The research in this area is relatively new and, therefore, robust frameworks for defining such extremes and evaluating their impacts are still a work in progress. We invite submissions that advance our understanding in the detection, attribution, prediction and projection of compound, concurrent and cascading extremes and their impacts at sub-seasonal to centennial timescales, using observational, modeling, and modern machine learning approaches.

Primary Section: Global Environmental Change

Session Format: Hybrid (both in-person and virtual participations are welcome)

Deadline: August 4, 2021

 Conveners:

Moet Ashfaq, Oak Ridge National Laboratory, USA 

Vimal Mishra, Indian Institute of Technology Gandhinagar, India 

Jonathan R. Buzan, University of Bern, Switzerland 

Subimal Ghosh, Indian Institute of Technology Bombay, India 

Invited Speakers:

Amir AghaKouchak, University of California, Irvine, USA

Ana M. Vicedo-Cabrera, University of Bern, Switzerland


Regards,


Moet Ashfaq
Computational Climate Scientist
Oak Ridge National Laboratory
Oak Ridge, TN 
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