214 Systematical Evaluation of VPR-Identification and Enhancement (VPR-IE) Approach: Incorporate Space-borne Radar into Ground Radar Network

Tuesday, 17 September 2013
Breckenridge Ballroom (Peak 14-17, 1st Floor) / Event Tent (Outside) (Beaver Run Resort and Conference Center)
Yixin Wen, Univ. of Oklahoma, Norman, OK; and Y. Hong, Q. Cao, G. Zhang, J. J. Gourley, J. Zhang, Z. L. Flamig, and P. E. Kirstetter

Over complex terrains, ground radars usually rely on scans at higher elevation angles to observe precipitating systems. The surface quantitative precipitation estimation (QPE) might have considerable errors if veridical structure of precipitation is not considered because radar reflectivity varies with height due to evaporation at low levels as well as processes of melting, aggregation, and drop break-up. The vertical profile of reflectivity (VPR) links the surface precipitation to the radar observation at higher levels, which is very useful for accurately estimating the surface rainfall. Researchers at the University of Oklahoma have demonstrated the integration of the Tropical Rainfall Measurement Mission (TRMM) Precipitation Radar products (4-km precipitation quantity, types, and 250-meter VPR) into the NEXRAD ground-based radar rainfall estimation system. In the latest progress in the VPR-Identification and Enhancement (VPR-IE) approach, we have optimally combined the climatological VPR information to the National Mosaic QPE (NMQ) system from 1 January 2011 to 31 December 2011 over the Mountainous West Region of the U.S. Performance of latest VPR-IE is systematically evaluated by rain gauges measurements. The results indicate improvements in precipitation detection and estimation following the incorporation of space-based radar information into ground radar networks.
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