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Data Descriptor

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

by
Timothy Mayer
1,2,*,
Jonathan L. Case
3,
Jayanthi Srikishen
4,
Kiran Shakya
5,
Deepak Kumar Shah
2,4,
Francisco Delgado Olivares
2,4,
Lance Gilliland
2,6,
Patrick Gatlin
7,
Birendra Bajracharya
5 and
Rajesh Bahadur Thapa
5
1
Earth System Science Center, The University of Alabama Huntsville, 320 Sparkman Drive, Huntsville, AL 35805, USA
2
SERVIR Science Coordination Office, National Aeronautics and Space Administration Marshall Space Flight Center, 320 Sparkman Drive, Huntsville, AL 35805, USA
3
ENSCO, Inc., Huntsville, AL 36117, USA
4
Universities Space Research Association, Huntsville, AL 35805, USA
5
International Centre for Integrated Mountain Development, GPO Box 3226, Kathmandu 44700, Nepal
6
Amentum, Huntsville, AL 35806, USA
7
National Aeronautics and Space Administration Marshall Space Flight Center, Huntsville, AL 35808, USA
*
Author to whom correspondence should be addressed.
Data 2025, 10(7), 112; https://doi.org/10.3390/data10070112
Submission received: 8 April 2025 / Revised: 28 May 2025 / Accepted: 6 June 2025 / Published: 9 July 2025
(This article belongs to the Section Spatial Data Science for Environment and Earth)
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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 numerical weather prediction; extreme weather; Weather Research and Forecasting (WRF) mode; model archive; precipitation; hail; cyclones; South Asia

Share and Cite

MDPI and ACS Style

Mayer, T.; Case, J.L.; Srikishen, J.; Shakya, K.; Shah, D.K.; Delgado Olivares, F.; Gilliland, L.; Gatlin, P.; Bajracharya, B.; Thapa, R.B. Advancements in Regional Weather Modeling for South Asia Through the High Impact Weather Assessment Toolkit (HIWAT) Archive. Data 2025, 10, 112. https://doi.org/10.3390/data10070112

AMA Style

Mayer T, Case JL, Srikishen J, Shakya K, Shah DK, Delgado Olivares F, Gilliland L, Gatlin P, Bajracharya B, Thapa RB. Advancements in Regional Weather Modeling for South Asia Through the High Impact Weather Assessment Toolkit (HIWAT) Archive. Data. 2025; 10(7):112. https://doi.org/10.3390/data10070112

Chicago/Turabian Style

Mayer, Timothy, Jonathan L. Case, Jayanthi Srikishen, Kiran Shakya, Deepak Kumar Shah, Francisco Delgado Olivares, Lance Gilliland, Patrick Gatlin, Birendra Bajracharya, and Rajesh Bahadur Thapa. 2025. "Advancements in Regional Weather Modeling for South Asia Through the High Impact Weather Assessment Toolkit (HIWAT) Archive" Data 10, no. 7: 112. https://doi.org/10.3390/data10070112

APA Style

Mayer, T., Case, J. L., Srikishen, J., Shakya, K., Shah, D. K., Delgado Olivares, F., Gilliland, L., Gatlin, P., Bajracharya, B., & Thapa, R. B. (2025). Advancements in Regional Weather Modeling for South Asia Through the High Impact Weather Assessment Toolkit (HIWAT) Archive. Data, 10(7), 112. https://doi.org/10.3390/data10070112

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