Results from Operational Assessments of GPM-derived Datasets (201)
Anita LeRoy, NASA SPoRT / University of Alabama in Huntsville-ESSC, Huntsville, AL
Matthew Smith, NASA SPoRT / University of Alabama in Huntsville-ITSC
Frank LaFontaine, NASA SPoRT / Jacobs Technology-ESSCA Group
NASA's Global Precipitation Measurement mission satellite (GPM) was launched in 2014 with mission goals relating to studying the water cycle and water resources globally, improving climate and hydrologic modeling, and improving NWP through better observations of microphysics and rainfall. To that end, a GPM algorithm (based on legacy TMPA) calibrates several passive microwave instruments against the onboard microwave imager (GMI) to develop globally comparable rain rates from imagers and sounders, and to create IMERG, a rain rate dataset that utilizes CMORPH and PERSIANN to produce half-hourly near-global gridded rain rates.
The NASA SPoRT mission is to take research oriented datasets, like GPM's, and to develop and assess them in operational forecast settings. SPoRT led a series of assessments with U.S. National Weather Service (NWS) forecasters and hydrologists in data-sparse regions beginning in 2015 to develop operationally valuable rain rate products in conjunction with potential end users and the research scientists on the NASA GPM mission. Experimental operational products that were developed included AWIPS-friendly formats of Level 2 swath rain rates from the GPM passive microwave constellation, IMERG and IMERG accumulations at synoptic times in AWIPS, and GIS-friendly formats of GPM products for non-NWS users. In this presentation, we will discuss the impact these experimental GPM datasets had on operations, based on this multiyear assessment activity.