Use of Geostationary Super Rapid Scan Satellite Imagery by the Storm Prediction Center

Line, William E.; Schmit, Timothy J.; Lindsey, Daniel T.; Goodman, Steven J.

doi:10.1175/waf-d-15-0135.1

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Use of Geostationary Super Rapid Scan Satellite Imagery by the Storm Prediction Center

2016
By Line, William E. ; Schmit, Timothy J. ; Lindsey, Daniel T. ; ...
Source: Weather and Forecasting, 31(2), 483-494.

[PDF-1.26 MB]

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Journal Title:

Weather and Forecasting
Personal Author:

Line, William E. ; Schmit, Timothy J. ; Lindsey, Daniel T. ; Goodman, Steven J.

Line, William E. ; Schmit, Timothy J. ; Lindsey, Daniel T. ; Goodman, Steven J. Less -
NOAA Program & Office:

NWS (National Weather Service) ; NESDIS (National Environmental Satellite, Data, and Information Service) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies)

NWS (National Weather Service) ; NESDIS (National Environmental Satellite, Data, and Information Service) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies) Less -
Description:

The Geostationary Operational Environmental Satellite-14 (GOES-14) Imager was operated by the National Oceanic and Atmospheric Administration (NOAA) in an experimental rapid scan 1-min mode during parts of 2012, 2013, 2014, and 2015. This scan mode, known as the Super Rapid Scan Operations for GOES-R (SRSOR), emulates the high-temporal-resolution sampling that will be provided by the Advanced Baseline Imager on the next-generation GOES-R series. NOAA/National Weather Service/Storm Prediction Center (SPC) forecasters utilized the 1-min imagery extensively in operations when available over convectively active regions. They found it provided them with unique insight into relevant features and processes before, during, and after convective initiation. This paper introduces how the SRSOR datasets from GOES-14 were used by SPC forecasters and how these data are likely to be applied when available operationally from GOES-R. Several animations, included as supplemental material, showcase the rapid change of severe weather related phenomena observed during the 2014 and 2015 SRSOR campaigns from the GOES-14 Imager.
Source:

Weather and Forecasting, 31(2), 483-494.
DOI:

https://doi.org/10.1175/waf-d-15-0135.1
Document Type:

Journal Article
Funding:

Grant no. NA11OAR4320072
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urn:sha256:b73bf1bfba88e31af071bc4bb84d224a0c9f2799207c3d648d169fb21168bfc9
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https://repository.library.noaa.gov/view/noaa/15269/noaa_15269_DS1.pdf
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Use of Geostationary Super Rapid Scan Satellite Imagery by the Storm Prediction Center

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