Incorporating NASA spaceborne radar data into NOAA national mosaic QPE system for improved precipitation measurement: A physically based VPR identification and enhancement method

摘要

This study proposes an approach that identifies and corrects for the vertical profile of reflectivity (VPR) by using Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) measurements in the region of Arizona and southern California, where the ground-based Next Generation Weather Radar (NEXRAD) finds difficulties in making reliable estimations of surface precipitation amounts because of complex terrain and limited radar coverage.AVPR identification and enhancement (VPR-IE) method based on the modeling of the vertical variations of the equivalent reflectivity factor using a physically based parameterization is employed to obtain a representative VPR at S band from the TRMM PR measurement at Ku band. Then the representative VPR is convolved with ground radar beam sampling properties to compute apparent VPRs for enhancingNEXRADquantitative precipitation estimation (QPE). TheVPR-IEmethodology is evaluatedwith several stratiform precipitation events during the cold season and is compared to two other statistically based correction methods, that is, the TRMM PR-based rainfall calibration and a range ring-based adjustment scheme. The results show that the VPR-IE has the best overall performance and provides much more accurate surface rainfall estimates than the original ground-based radarQPE. The potential of theVPR-IEmethod could be further exploited and better utilized when the Global PrecipitationMeasurement Mission's dual-frequency PR is launched in 2014, with anticipated accuracy improvements and expanded latitude coverage.