気象集誌. 第2輯
Online ISSN : 2186-9057
Print ISSN : 0026-1165
ISSN-L : 0026-1165
Notes and Correspondence
Improvement of Microwave Rainfall Retrievals in Bayesian Retrieval Algorithms
Eun-Kyoung SEOByung-Ju SOHNGuosheng LIUGeun-Hyeok RYUHyo-Jin HAN
著者情報
ジャーナル フリー

2008 年 86 巻 2 号 p. 405-409

詳細
抄録
This note describes a method to improve the current Tropical Rainfall Measuring Mission (TRMM) passive microwave rain rate estimates by adopting a modified probability density function (PDF) of rain rates in Bayesian retrieval algorithms. Unlike the original database that was generated from cloud model simulations mostly for more "eventful" cloud/rain cases, the modified PDF includes the probability of zero rain rates derived from actual observations. Based on analysis of one year TRMM data, this simple remedy lowers the passive microwave rain rate estimates by 3% and reduces the discrepancy between radiometer and radar estimates by 6%.
著者関連情報
© 2008 by Meteorological Society of Japan
前の記事
feedback
Top