Refinement of Surface Precipitation Estimates for the Dual-frequency Precipitation Radar on the GPM Core Observatory Using Near-Nadir Measurements
Masafumi Hirose, Shoichi Shige, Takuji Kubota, Fumie A. Furuzawa, Haruya Minda, Hirohiko Masunaga
Abstract
Precipitation statistics from Global Precipitation Measurement Core Observatory Dual-frequency Precipitation Radar (GPM DPR) are underestimated due to systematic bias depending on the scanning angle. Over five years of GPM DPR KuPR Version 06A data, the precipitation anomaly is −7 % and −2 % over land and ocean, respectively. This study improves the estimation of low-level precipitation-rate profiles and the detection of shallow storms (with top heights of ≤ 2.5 km), using reference datasets of near-nadir measurements.
Topics & Concepts
PrecipitationNadirGlobal Precipitation MeasurementEnvironmental scienceRadarObservatoryAnomaly (physics)StormSatelliteClimatologyRemote sensingMeteorologyAtmospheric sciencesGeologyPhysicsCondensed matter physicsComputer scienceAstronomyAstrophysicsTelecommunicationsPrecipitation Measurement and AnalysisMeteorological Phenomena and SimulationsSoil Moisture and Remote Sensing