• DOI:10.1175/BAMS-D-14-00007.1
• Corpus ID: 117511596

Real-Time Simulation of the GOES-R ABI for User Readiness and Product Evaluation

@article{Greenwald2016RealTimeSO,
  title={Real-Time Simulation of the GOES-R ABI for User Readiness and Product Evaluation},
  author={Thomas J. Greenwald and R. Bradley Pierce and Todd K. Schaack and Jason A. Otkin and Marek Rogal and Kaba Bah and Allen J. Lenzen and James P. Nelson and Jun Li and Hung-Lung Huang},
  journal={Bulletin of the American Meteorological Society},
  year={2016},
  volume={97},
  pages={245-261}
}

• T. Greenwald, R. Pierce, +7 authors Hung-Lung Huang
• Published 14 March 2016
• Environmental Science
• Bulletin of the American Meteorological Society

AbstractIn 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 duri...