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Quantifying Spatial Drought Propagation Potential in North America Using Complex Network TheoryDroughts have a dominant three-dimensional (3-D) spatiotemporal structure typically spanning hundreds of kilometers and often lasting for months to years. Here, we introduced a novel framework to explore the 3-D structure of the evolution of droughts based on network theory concepts. The proposed framework is applied to identify critical source regions responsible for large-scale drought onsets during 1901–2014 for the North American continent using the Standardized Precipitation Evaporation Index (SPEI). We built a spatial network connecting the drought onset timings for the North American continent. Using a spatially weighted network partitioning algorithm, the whole continent is then classified into regional spatial drought networks (RSN), where droughts are more likely to propagate within these regional systems. Finally, a customized network metric was applied to identify locations (source regions) where the drought onsets further propagate to other areas within the regional spatial network. Our results indicated that the West coast, Texas coastal region, and Southeastern Arkansas as major source regions through which atmospheric drought propagates to Western, South Central, and Eastern North America. The formation of drought source regions are due to presence of high pressure ridges and anomalous wind patterns. Furthermore, our results indicate that the drought propagation from these source regions may be due to inadequate moisture transport. The proposed framework can help to develop an early warning detection system for droughts and other spatially extensive extreme events such as heatwaves and floods.
Document ID
20230003158
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Goutam Konapala
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Somnath Mondal
(Clemson University Clemson, South Carolina, United States)
Ashok Mishra
(Clemson University Clemson, South Carolina, United States)
Date Acquired
March 8, 2023
Publication Date
February 28, 2022
Publication Information
Publication: Water Resources Research
Publisher: Wiley
Volume: 58
Issue: 3
Issue Publication Date: March 1, 2022
ISSN: 0043-1397
e-ISSN: 1944-7973
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
CONTRACT_GRANT: 80NSSC22M0001
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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