Session Flash Drought Monitoring, Predictability, and Impacts in a Changing Climate


Description:

Flash drought, characterized by its unusually rapid intensification, has garnered increasing attention in the physical science and impacts communities in recent years due to its compounding and cascading physical causes and socioeconomic effects. We invite submissions that advance our ability to monitor, understand, and predict the complex interactions between terrestrial, atmospheric, and oceanic processes that can be used to anticipate the effects and improve early warning of flash droughts in our changing climate. We also invite submissions that further our understanding of anthropogenic effects on flash drought and our understanding of the linkages between flash drought and impacts on energy, food, health, and water security.

Submitters:  Andrew J. Hoell, NOAA/Physical Sciences Laboratory, Boulder, CO; Mike Hobbins, NOAA-Physical Sciences Laboratory, Boulder, CO; Hailan Wang, CPC, College Park, MD; Jason A Otkin, Univ. of Wisconsin-Madison, Space Science and Engineering Center, Madison, WI and Jordan I. Christian, School of Meteorology, Univ. of Oklahoma, NORMAN, OK


Papers:
Developing a new CPC long term and realtime land surface monitoring product
Li Xu, CPC, College Park, MD; ERT INC, Laurel, MD; and H. Wang, A. badger, S. Wu, P. Xie, W. Ebisuzaki, L. Zhang, M. J. Barlage, H. Wei, and B. Pugh

Prediction of Areas Susceptible to Flash Drought Development over the Contiguous United States
L. Gwen Chen, NOAA/NWS/NCEP/Environmental Modeling Center, College Park, MD

A Southeastern US Regional Flash Drought Review and Agriculture Impact Assessment
Shaelyn Grace Deal, University of Alabama in Huntsville, Oak Ridge, TN; and L. Ellenburg

Simulation of Flash Drought Characteristics Across the U.S. Shaped by Vegetation
Ali Fallahmaraghi, University of Massachusetts Lowell, Lowell, MA; and M. Barlow, L. Agel, J. Kim, J. Mankin, D. M. Mocko, and C. B. Skinner

A multivariate flash drought climatology based on the framework of the flash drought intensity index (FDII)
Yafang Zhong, CIMSS, Madison, WI; CIMSS, Madison, WI; Univ. of Wisconsin-Madison, Madison, WI; and J. A. Otkin and T. W. Ford

Evaluation of Flash Drought Identification with Machine Learning Techniques, Part 3: Global Perspectives
Stuart Galen Edris, University of Oklahoma, Norman, OK; and J. B. Basara, J. I. Christian, Ph.D., J. C. Furtado, A. McGovern, and X. Xiao

Teleconnections and Drivers of Regional Flash Droughts in the United States
Daniel F. Mesheske, Univ. of Oklahoma, Norman, OK; University of Oklahoma, Norman, OK; University of Oklahoma, Norman, OK; and T. M. Grace, J. I. Christian, and J. B. Basara

Submission Deadline: Thursday, 31 August 2023