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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Publications at this Location » Publication #411747
Research Project: From Field to Watershed: Enhancing Water Quality and Management in Agroecosystems through Remote Sensing, Ground Measurements, and Integrative Modeling

Location: Hydrology and Remote Sensing Laboratory

Title: Soil Moisture Volatility Index (SMVI) global flash droughts

Author
item OSMAN, M - Johns Hopkins University
item ZAITCHIK, B - Johns Hopkins University
item OTKIN, J - University Of Wisconsin
item Anderson, Martha

Submitted to: Online Reference Database Earth Systems and Environmental Sciences
Publication Type: Database / Dataset
Publication Acceptance Date: 1/9/2024
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: We present a global dataset of flash drought events, meticulously compiled using the Soil Moisture Volatility Index (SMVI), a cutting-edge tool initially applied within the United States. This dataset marks a significant expansion of the SMVI methodology to a global context, offering an essential resource for comprehensively understanding and predicting rapidly evolving drought phenomena. Characterized by detailed information on the onset, duration, and severity of each event, the dataset covers a wide array of climatic zones, thus providing a diverse and inclusive global perspective. A key feature of this dataset is the integration of atmospheric variables, which sheds light on the meteorological factors driving and influencing flash droughts. Such integration allows for an in-depth exploration of the complex interplay between soil moisture and atmospheric conditions, enhancing our understanding of drought dynamics.