92nd American Meteorological Society Annual Meeting (January 22-26, 2012)

Monday, 23 January 2012
Using Synthetic Satellite Imagery to Evaluate Real-Time Model Forecast Performance During the Hazardous Weather Testbed Spring Experiment
Hall E (New Orleans Convention Center )
Jason A. Otkin, CIMSS/Univ. of Wisconsin, Madison, WI; and D. Bikos, J. Sieglaff, D. T. Lindsey, L. Grasso, C. W. Siewert, R. Rabin, J. S. Kain, and S. R. Dembek

As part of the GOES-R Proving Ground project, simulated Advanced Baseline Imager (ABI) infrared brightness temperatures have been generated in near real-time using output from the operational NSSL-WRF model forecasts covering the contiguous U.S. with 4-km horizontal resolution. The simulated satellite imagery is used to demonstrate the advanced measurement capabilities of the next generation of geostationary satellites, starting with GOES-R in 2015, and to prepare operational weather forecasters to use the new data. Though more expensive to generate than traditional model-derived fields, synthetic satellite imagery has certain important advantages that make it a useful tool for operational forecasters. For instance, synthetic satellite imagery provides an integrated view of the atmosphere more quickly than can be achieved by looking at multiple model output fields. The location and evolution of forcing mechanisms and clouds associated with precipitation can be easily identified using simulated water vapor and window channel brightness temperature imagery, and their similar appearance to current GOES imagery makes their diagnosis more intuitive and efficient. This paper will address unique characteristics of the synthetic satellite imagery and provide examples from the 2010 and 2011 Hazardous Weather Testbed Spring Experiments that demonstrate strengths and weaknesses of the simulated imagery.

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