論文ID: 2025-014
To estimate global frozen precipitation particle characteristics, this study developed a method that utilizes Global Precipitation Measurement (GPM) Dual-frequency Precipitation Radar (DPR) and GPM Microwave Imager (GMI) observations. This method estimates the volume-weighted mean diameter before melting (Dm) and the number concentration (Nw) of frozen precipitation particles for a given particle model from the DPR reflectivity factors (Ze). The likelihood of this particle model is estimated using the difference between the brightness temperatures at 89 and 166 GHz calculated from this Dm and Nw (TBc) and the GMI observation (TBo) as a measure.
Particle models representing snowflake, aggregate, strongly rimed aggregate, and graupel (sphere) were selected from existing scattering databases. Under idealized conditions, the TBc computed from DPR Ze was highly dependent on the particle model. In the OLYMPEX (December 3, 2015) case, the TBc calculated from the observed DPR Ze also depended on the particle model. The most likely particle models were spherical particles and strong rimed aggregates south of the Olympic Mountains and aggregates to the north. The Dm values for the most likely particle models had a smaller bias than the Dm values for each particle model when compared with the OLYMPEX airborne observations.