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contributor authorLine, William E.
contributor authorSchmit, Timothy J.
contributor authorLindsey, Daniel T.
contributor authorGoodman, Steven J.
date accessioned2017-06-09T17:37:14Z
date available2017-06-09T17:37:14Z
date copyright2016/04/01
date issued2016
identifier issn0882-8156
identifier otherams-88187.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231939
description abstracthe 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.
publisherAmerican Meteorological Society
titleUse of Geostationary Super Rapid Scan Satellite Imagery by the Storm Prediction Center
typeJournal Paper
journal volume31
journal issue2
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-15-0135.1
journal fristpage483
journal lastpage494
treeWeather and Forecasting:;2016:;volume( 031 ):;issue: 002
contenttypeFulltext


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