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13 October 2008 Near-real time cloud retrievals from operational and research meteorological satellites
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Abstract
A set of cloud retrieval algorithms developed for CERES and applied to MODIS data have been adapted to analyze other satellite imager data in near-real time. The cloud products, including single-layer cloud amount, top and base height, optical depth, phase, effective particle size, and liquid and ice water paths, are being retrieved from GOES- 10/11/12, MTSAT-1R, FY-2C, and Meteosat imager data as well as from MODIS. A comprehensive system to normalize the calibrations to MODIS has been implemented to maximize consistency in the products across platforms. Estimates of surface and top-of-atmosphere broadband radiative fluxes are also provided. Multilayered cloud properties are retrieved from GOES-12, Meteosat, and MODIS data. Native pixel resolution analyses are performed over selected domains, while reduced sampling is used for full-disk retrievals. Tools have been developed for matching the pixel-level results with instrumented surface sites and active sensor satellites. The calibrations, methods, examples of the products, and comparisons with the ICESat GLAS lidar are discussed. These products are currently being used for aircraft icing diagnoses, numerical weather modeling assimilation, and atmospheric radiation research and have potential for use in many other applications.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick Minnis, Louis Nguyen, Rabindra Palikonda, Patrick W. Heck, Douglas A. Spangenberg, David R. Doelling, J. Kirk Ayers, William L. Smith Jr., Mandana M. Khaiyer, Qing Z. Trepte, Lance A. Avey, Fu-Lung Chang, Chris R. Yost, Thad L. Chee, and Sun-Mack Szedung "Near-real time cloud retrievals from operational and research meteorological satellites", Proc. SPIE 7107, Remote Sensing of Clouds and the Atmosphere XIII, 710703 (13 October 2008); https://doi.org/10.1117/12.800344
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