Advancements in Regional Weather Modeling for South Asia Through the High Impact Weather Assessment Toolkit (HIWAT) Archive

Timothy Mayer (), Jonathan L. Case, Jayanthi Srikishen, Kiran Shakya, Deepak Kumar Shah, Francisco Delgado Olivares, Lance Gilliland, Patrick Gatlin, Birendra Bajracharya and Rajesh Bahadur Thapa
Additional contact information
Timothy Mayer: Earth System Science Center, The University of Alabama Huntsville, 320 Sparkman Drive, Huntsville, AL 35805, USA
Jonathan L. Case: ENSCO, Inc., Huntsville, AL 36117, USA
Jayanthi Srikishen: Universities Space Research Association, Huntsville, AL 35805, USA
Kiran Shakya: International Centre for Integrated Mountain Development, GPO Box 3226, Kathmandu 44700, Nepal
Deepak Kumar Shah: SERVIR Science Coordination Office, National Aeronautics and Space Administration Marshall Space Flight Center, 320 Sparkman Drive, Huntsville, AL 35805, USA
Francisco Delgado Olivares: SERVIR Science Coordination Office, National Aeronautics and Space Administration Marshall Space Flight Center, 320 Sparkman Drive, Huntsville, AL 35805, USA
Lance Gilliland: SERVIR Science Coordination Office, National Aeronautics and Space Administration Marshall Space Flight Center, 320 Sparkman Drive, Huntsville, AL 35805, USA
Patrick Gatlin: National Aeronautics and Space Administration Marshall Space Flight Center, Huntsville, AL 35808, USA
Birendra Bajracharya: International Centre for Integrated Mountain Development, GPO Box 3226, Kathmandu 44700, Nepal
Rajesh Bahadur Thapa: International Centre for Integrated Mountain Development, GPO Box 3226, Kathmandu 44700, Nepal

Data, 2025, vol. 10, issue 7, 1-9

Abstract: Some of the most intense thunderstorms and extreme weather events on Earth occur in the Hindu Kush Himalaya (HKH) region of Southern Asia. The need to provide end users, stakeholders, and decision makers with accurate forecasts and alerts of extreme weather is critical. To that end, a cutting edge weather modeling framework coined the High Impact Weather Assessment Toolkit (HIWAT) was created through the National Aeronautics and Space Administration (NASA) SERVIR Applied Sciences Team (AST) effort, which consists of a suite of varied numerical weather prediction (NWP) model runs to provide probabilities of straight-line damaging winds, hail, frequent lightning, and intense rainfall as part of a daily 54 h forecast tool. The HIWAT system was first deployed in 2018, and the recently released model archive hosted by the Global Hydrometeorology Resource Center (GHRC) Distributed Active Archive Center (DAAC) provides daily model outputs for the years of 2018–2022. With a nested modeling domain covering Nepal, Bangladesh, Bhutan, and Northeast India, the HIWAT archive spans the critical pre-monsoon and monsoon months of March–October when severe weather and flooding are most frequent. As part of NASA’s Transformation To Open Science (TOPS), this data archive is freely available to practitioners and researchers.

Keywords: numerical weather prediction; extreme weather; Weather Research and Forecasting (WRF) mode; model archive; precipitation; hail; cyclones; South Asia (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
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