JP2.11
Comparison of the GOES-R cloud Algorithm Working Group's daytime cloud optical property products to those from MODIS, AVHRR and VIIRS
William Straka III, CIMSS/Univ. of Wisconsin, Madison, WI; and A. Walther and A. K. Heidinger
With on-board solar reflectance calibration, improved spatial and temporal resolution and increased spectral information, the GOES-R Advanced Baseline Imager (ABI) will provide significant advances in daytime cloud optical and microphysical parameter remote sensing over that provided by the GOES-NOP imagers. In addition, the NPOESS VIIRS sensors will continue much of the MODIS capability and greatly improve on the data provided by the POES imager (AVHRR). A new algorithm is currently being developed within the GOES-R Algorithm Working Group (AWG) to derive cloud optical properties from the solar reflectance measurements provided by the GOES-R Advance Baseline Imager (ABI). In order to test this algorithm before the launch of GOES-R, this algorithm has been adapted for use with the current polar orbiting imager (AVHRR and MODIS) and current geostationary imagers on GOES and MSG. Assuming data availability, we will also compare the GOES-R products to those generated by the baseline NPOESS/VIIRS algorithm. To accomplish this, we propose to look at several different types of scenes where NOAA-18/AVHRR, AQUA/MODIS and SEVIRI were co-located in time and space. The VIIRS products will be generated using the MODIS data run through the NPOESS algorithms. This analysis will provide a check of the consistency of the GOES-R, and NPOESS products relative to those generated by NASA, NOAA and EUMETSAT. Consistency among these data sets is critical for both real-time use and generation of meaningful long-term time series from AVHRR and VIIRS.
Joint Poster Session 2, GOES-R
Tuesday, 13 January 2009, 9:45 AM-11:00 AM, Hall 5
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