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A Long-Term Precipitation Dataset with Uncertainty Information

Hurricane Floyd September 13, 1999. GPROF 2008. GPROF 2008 + TRMM radar. A Long-Term Precipitation Dataset with Uncertainty Information C. Kummerow 1 , W. Berg 1 , T. L’Ecuyer 1 , W. Olson 2 , and M. Grecu 3

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A Long-Term Precipitation Dataset with Uncertainty Information

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  1. Hurricane Floyd September 13, 1999 GPROF 2008 GPROF 2008 + TRMM radar A Long-Term Precipitation Dataset with Uncertainty Information C. Kummerow1, W. Berg1, T. L’Ecuyer1, W. Olson2, and M. Grecu3 1Colorado State Univ., 2JCET/Univ. of Maryland/Balt., 3GEST/Univ. Maryland/Balt. • Goal: Create a long-term, homogeneous dataset using a state-of-the-art retrieval algorithm being developed for TRMM and AMSR-E, and assess the uncertainty in this product through rigorous uncertainty estimation procedures, as well as comparisons and analysis of differences between this product and other equally established products. • Objectives: Produce information about the error characteristics of data that is an essential requirement for a broad usage of the data as well as the data itself. • Key Innovations: • Create a rainfall and cloud water dataset using latest version of GPROF algorithm (2008) based on a multidecadal constellation of satellite radiometer data including SSM/I, TMI, AMSR-E, WINDSAT, and SSMIS • Characterization of the intrinsic uncertainties, the sensitivity of rainfall products to meteorological regimes, and the relation between this product and previously established ones Quality of light rain detection shown by GPROF 2008 retrieval. Inner swath of bottom panel represents TRMM radar rainfall. • NASA Relevance: Increase the knowledge of the product for use in studying climate variability and trends related to the global water and energy processes. • Accomplishments to date: • Completed development of GPROF 2008 for TRMM TMI • Started processing 11+ year TMI data record • Developed approach for intercalibration of radiometer constellation • Participated in radiometer calibration working group • Systems for accessing the RSS calibrated brightness temperature datasets in place. • Schedule (FY10): • Complete the generation of rainfall products from SSM/I, TMI, AMSR-E, WindSat and SSMIS for time period of 01/98-01/08 in the Tropics. • Quantify sensitivity of GCPC algorithm to radiometer calibration using L1B, L1C and RSS data. • Deliver algorithm theoretical basis document to Program Scientist. • Support community review of algorithm (led by Program Scientist). • Intercalibrate brightness temperature from radiometer constellation for period from 1/98-1/09.

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