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 vertical profile of
reflectivity (VPR)) into the NEXRAD ground-based radar rainfall estimation system. In the latest progress in the VPRIdentification
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 for different
precipitation types. 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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