Brightness temperature nowcasting for satellite-based short-term prediction of storms - Opportunities and challenges

Huaqing Cai, Robert Kuligowski, Gyuwon Lee, Nancy Rehak, Gary Cunning, David Albo, Daniel Megenhardt, Matthias Steiner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Satellite-based brightness temperature observations are used in a wide range of applications for monitoring weather systems over land and especially over water, including short-term prediction of the evolution of weather systems. Results are presented from an evaluation of three extrapolation-based nowcasting procedures to predict satellite-based brightness temperatures up to 3 hours into the future. Analyses are based on using METEOSAT-8 Spinning Enhanced Visible and Infrared Imager (SEVIRI) data as a proxy for the Advanced Baseline Imager (ABI) to be flown on the next-generation National Oceanic and Atmospheric Administration (NOAA) Geostationary Operational Environmental Satellite (GOES)-R series.

Original languageEnglish
Title of host publicationRemote Sensing Applications for Aviation Weather Hazard Detection and Decision Support
DOIs
StatePublished - 2008
EventRemote Sensing Applications for Aviation Weather Hazard Detection and Decision Support - San Diego, CA, United States
Duration: 13 Aug 200814 Aug 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7088
ISSN (Print)0277-786X

Conference

ConferenceRemote Sensing Applications for Aviation Weather Hazard Detection and Decision Support
Country/TerritoryUnited States
CitySan Diego, CA
Period13/08/0814/08/08

Keywords

  • GOES-R
  • MAPLE
  • Nowcasting
  • Satellite brightness temperature
  • SEVIRI
  • TITAN

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