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Forecasting and Monitoring Intense Thunderstorms in the Hindu Kush Himalayan Region: Spring 2018 Forecasting ExperimentSome of the most intense thunderstorms on the planet occur in the Hindu Kush Himalayan (HKH) region of South Asia - where many organizations lack the capacity needed to predict, observe and/or effectively respond to the threats associated with high-impact convective weather. Among the hazards include tornadoes, damaging straight-line winds (known as Nor'westers in the HKH region), large hail, and flash flooding, which typically peak in the pre-wet-monsoon season. Previous studies have documented a disproportionately large number of casualties associated with intense thunderstorms in this region; therefore, the goal of this project is to increase situational awareness of these hazards through short-term modeling and satellite assessment tools.
Document ID
20180004699
Acquisition Source
Marshall Space Flight Center
Document Type
Conference Paper
Authors
Case, Jonathan L.
(ENSCO, Inc. Huntsville, AL, United States)
Gatlin, Patrick N.
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Srikishen, Jayanthi
(Universities Space Research Association (USRA) Huntsville, AL, United States)
Knickerbocker, Jeff
(Spatial Informatics Group Pleasanton, CA, United States)
Bell, Jordan R.
(Alabama Univ. Huntsville, AL, United States)
Allen, Roger E.
(Jacobs Technologies Engineering Science Contract Group Huntsville, AL, United States)
Meyer, Paul J.
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Cecil, Daniel J.
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Petersen, Walter A.
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Date Acquired
August 27, 2018
Publication Date
June 4, 2018
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
MSFC-E-DAA-TN58605
Report Number: MSFC-E-DAA-TN58605
Meeting Information
Meeting: Conference on Numerical Weather Prediction
Location: Denver, CO
Country: United States
Start Date: June 4, 2018
End Date: June 8, 2018
Sponsors: American Meteorological Society
Funding Number(s)
CONTRACT_GRANT: 80MSFC17M0013
CONTRACT_GRANT: 80MSFC18C0011
CONTRACT_GRANT: NNM17AA29T
CONTRACT_GRANT: NNM11AA01A
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Keywords
remote sensing
numerical weather prediction
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