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Journal of Applied Remote Sensing • Open Access

Geostationary Operational Environmental Satellite (GOES)-14 super rapid scan operations to prepare for GOES-R
Author(s): Timothy J. Schmit; Steven J. Goodman; Daniel T. Lindsey; Robert M. Rabin; Kristopher M. Bedka; Mathew M. Gunshor; John L. Cintineo; Christopher S. Velden; A. Scott Bachmeier; Scott S. Lindstrom; Christopher C. Schmidt

Paper Abstract

Geostationary Operational Environmental Satellite (GOES)-14 imager was operated by National Oceanic and Atmospheric Administration (NOAA) in an experimental rapid scan 1-min mode that emulates the high-temporal resolution sampling of the Advanced Baseline Imager (ABI) on the next generation GOES-R series. Imagery with a refresh rate of 1 min of many phenomena were acquired, including clouds, convection, fires, smoke, and hurricanes, including 6 days of Hurricane Sandy through landfall. NOAA had never before operated a GOES in a nearly continuous 1-min mode for such an extended period of time, thereby making these unique datasets to explore the future capabilities possible with GOES-R. The next generation GOES-R imager will be able to routinely take mesoscale (1000  km×1000  km) images every 30 s (or two separate locations every minute). These images can be acquired even while scanning continental United States and full disk images. These high time-resolution images from the GOES-14 imager are being used to prepare for the GOES-R era and its advanced imager. This includes both the imagery and quantitative derived products such as cloud-top cooling. Several animations are included to showcase the rapid change of the many phenomena observed during super rapid scan operations for GOES-R (SRSOR).

Paper Details

Date Published: 16 December 2013
PDF: 20 pages
J. Appl. Rem. Sens. 7(1) 073462 doi: 10.1117/1.JRS.7.073462
Published in: Journal of Applied Remote Sensing Volume 7, Issue 1
Show Author Affiliations
Timothy J. Schmit, NOAA Ctr. for Satellite Applications and Research (United States)
Steven J. Goodman, National Oceanic and Atmospheric Administration (United States)
Daniel T. Lindsey, National Environmental Satellite, Data, and Information Service (United States)
Robert M. Rabin, National Severe Storms Lab (United States)
Kristopher M. Bedka, Science Systems & Applications. Inc. (United States)
Mathew M. Gunshor, Univ. of Wisconsin-Madison (United States)
John L. Cintineo, Univ. of Wisconsin-Madison (United States)
Christopher S. Velden, Univ. of Wisconsin-Madison (United States)
A. Scott Bachmeier, Univ. of Wisconsin-Madison (United States)
Scott S. Lindstrom, Univ. of Wisconsin-Madison (United States)
Christopher C. Schmidt, Univ. of Wisconsin-Madison (United States)

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