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191001-363513-4H
21-NGI3-129
20-NGI3-107
8/1/2020
2022-7-31 0:0:0
Active
$77,895.00
GOES-R Convective Initiation Product Support
Mecikalski
John
UAH
Coastal Hazards CH
NESDIS
Improved convective thunderstorms prediction that provide advanced notice of heavy rain, high winds, and lightening is the goal of researchers making advancements to NOAA GOES-R Convective Initiation (CI) products that National Weather Service (NWS) forecasts use. The “R” series of Geostationary Operational Environmental Satellite (GOES-R) provides real-time, high-resolution imagery and atmospheric measurements of Earth’s weather, oceans and environment, and monitoring of solar activity and space weather. Researchers maintain and improve the 0-1 hour GOES-R CI algorithm, provide product fields to government users of CI nowcast products, and maintain data feed to NASA and NOAA. Updates and improvements allow the CI algorithm to work on mobile devices, make imagery more viewer friendly, correctly identify potential false signals due to snow cover, and resolved issues related to domain changes and data ingestion. The unique nature of the algorithm to identify, track, and predict cloud growth across a satellite image has been enhanced. Under development is script to download data from Amazon Web Services for CI Product to run at night. They coordinate with NASA’s Short-term Prediction Research and Transition (SPoRT) Center to facilitate transfer of CI-related products to end users.
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