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contributor authorGreenwald, Thomas J.
contributor authorPierce, R. Bradley
contributor authorSchaack, Todd
contributor authorOtkin, Jason
contributor authorRogal, Marek
contributor authorBah, Kaba
contributor authorLenzen, Allen
contributor authorNelson, Jim
contributor authorLi, Jun
contributor authorHuang, Hung-Lung
date accessioned2017-06-09T16:45:21Z
date available2017-06-09T16:45:21Z
date copyright2016/02/01
date issued2015
identifier issn0003-0007
identifier otherams-73533.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215658
description abstractn support of the Geostationary Operational Environmental Satellite R series (GOES-R) program, the Cooperative Institute for Meteorological Satellite Studies (CIMSS) at the University of Wisconsin?Madison is generating high quality simulated Advanced Baseline Imager (ABI) radiances and derived products in real time over the continental United States. These data are mainly used for testing data-handling systems, evaluating ABI-derived products, and providing training material for forecasters participating in GOES-R Proving Ground test bed activities. The modeling system used to generate these datasets consists of advanced regional and global numerical weather prediction models in addition to state-of-the-art radiative transfer models, retrieval algorithms, and land surface datasets. The system and its generated products are evaluated for the 2014 Pacific Northwest wildfires; the 2013 Moore, Oklahoma, tornado; and Hurricane Sandy. Simulated aerosol optical depth over the Front Range of Colorado during the Pacific Northwest wildfires was validated using high-density Aerosol Robotic Network (AERONET) measurements. The aerosol, cloud, and meteorological modeling system used to generate ABI radiances was found to capture the transport of smoke from the Pacific wildfires into the Front Range of Colorado and true-color imagery created from these simulated radiances provided visualization of the smoke plumes. Evaluation of selected simulated ABI-derived products for the Moore tornado and Hurricane Sandy cases was done using real-time GOES sounder/imager products produced at CIMSS. Results show that simulated ABI moisture and atmospheric stability products, cloud products, and red?green?blue (RGB) airmass composite imagery are well suited as proxy ABI data for user preparedness.
publisherAmerican Meteorological Society
titleReal-Time Simulation of the GOES-R ABI for User Readiness and Product Evaluation
typeJournal Paper
journal volume97
journal issue2
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-D-14-00007.1
journal fristpage245
journal lastpage261
treeBulletin of the American Meteorological Society:;2015:;volume( 097 ):;issue: 002
contenttypeFulltext


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