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Monitoring Extreme Weather in the Hindu Kush Himalaya RegionWhy is monitoring extreme weather events important? The HKH (Hindu Kush Himalaya region experiences many extreme weather events, such as thunderstorms, especially during monsoon season. These events can cause economic hardship and loss of life. Monitoring Extreme Weather in the HKH Region is a service in development through SERVIR-Hindu Kush Himalaya that aims to develop a customized numerical weather prediction toolkit to assess these high impact events in this relatively data-sparse region. The High Impact Weather Assessment Toolkit (HIWAT) consists of an ensemble Weather Research and Forecasting (WRF)model, threat assessments based on the Global Precipitation Measurement (GPM) missions, and impact assessments based on Landsat and the Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. In spring 2019, we began validation of forecasted precipitation using station data in Bangladesh and Climate Hazards Group InfraRed with Station data (CHIRPS).
Document ID
20190027202
Acquisition Source
Marshall Space Flight Center
Document Type
Poster
Authors
Baldwin, Helen
(Alabama Univ. Huntsville, AL, United States)
Griffin, Robert
(Alabama Univ. Huntsville, AL, United States)
Ellenburg, W. Lee
(Alabama Univ. Huntsville, AL, United States)
Date Acquired
July 11, 2019
Publication Date
July 8, 2019
Subject Category
Meteorology And Climatology
Report/Patent Number
MSFC-E-DAA-TN69175
Report Number: MSFC-E-DAA-TN69175
Meeting Information
Meeting: Esri User Conference 2019
Location: San Diego, CA
Country: United States
Start Date: July 8, 2019
End Date: July 12, 2019
Sponsors: Environmental Systems Research Institute (Esri), NASA Headquarters
Funding Number(s)
CONTRACT_GRANT: NNM11AA01A
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
Remote Sensing
SERVIR
Hindu Kush Himalaya Region
GIS (Geographic Information System)
CHIRPS (Climate Hazards Group InfraRed Precipitation)
HIWAT (High Impact Weather Assessment Toolkit)
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