首页 | 官方网站   微博 | 高级检索  
     

Tropical Precipitation Estimated by GPCP and TRMM PR Observations
作者姓名:LI Rui  FU Yunfei
作者单位:School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026
基金项目:This research has been supported by NKBRDPC Grant No,中国科学院资助项目,the Joint Research Fund for Overseas Chinese Young Scholars,EORC/JAXA
摘    要:In this study, tropical monthly mean precipitation estimated by the latest Global Precipitation Climatology Project (GPCP) version 2 dataset and Tropical Rainfall Measurement Mission Precipitation Radar (TRMM PR) are compared in temporal and spatial scales in order to comprehend tropical rainfall climatologically. Reasons for the rainfall differences derived from both datasets are discussed. Results show that GPCP and TRMM PR datasets present similar distribution patterns over the Tropics but with some differences in amplitude and location. Generally, the average difference over the ocean of about 0.5 mm d^-1 is larger than that of about 0.1 mm d^-1 over land. Results also show that GPCP tends to underestimate the monthly precipitation over the land region with sparse rain gauges in contrast to regions with a higher density of rain gauge stations. A Probability Distribution Function (PDF) analysis indicates that the GPCP rain rate at its maximum PDF is generally consistent with the TRMM PR rain rate as the latter is less than 8 mm d^-1. When the TRMM PR rain rate is greater than 8 mm d^-1, the GPCP rain rate at its maximum PDF is less by at least 1 mm d^-1 compared to TRMM PR estimates. Results also show an absolute bias of less than 1 mm d^-1 between the two datasets when the rain rate is less than 10 mm d^-1. A large relative bias of the two datasets occurs at weak and heavy rain rates.

关 键 词:热带  GPCP  降雨量  气候预测  TRMM  PR
收稿时间:2004-01-31
修稿时间:2005-05-20

Tropical precipitation estimated by GPCP and TRMM PR observations
LI Rui,FU Yunfei.Tropical Precipitation Estimated by GPCP and TRMM PR Observations[J].Advances in Atmospheric Sciences,2005,22(6):852-864.
Authors:Li Rui  Fu Yunfei
Affiliation:School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026,School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026
Abstract:In this study, tropical monthly mean precipitation estimated by the latest Global Precipitation Climatology Project (GPCP) version 2 dataset and Tropical Rainfall Measurement Mission Precipitation Radar (TRMM PR) are compared in temporal and spatial scales in order to comprehend tropical rainfall climatologically. Reasons for the rainfall differences derived from both datasets are discussed. Results show that GPCP and TRMM PR datasets present similar distribution patterns over the Tropics but with some differences in amplitude and location. Generally, the average difference over the ocean of about 0.5 mm d-1 is larger than that of about 0.1 mm d-1 over land. Results also show that GPCP tends to underestimate the monthly precipitation over the land region with sparse rain gauges in contrast to regions with a higher density of rain gauge stations. A Probability Distribution Function (PDF) analysis indicates that the GPCP rain rate at its maximum PDF is generally consistent with the TRMM PR rain rate as the latter is less than 8 mm d-1. When the TRMM PR rain rate is greater than 8 mm d-1, the GPCP rain rate at its maximum PDF is less by at least 1 mm d-1compared to TRMM PR estimates. Results also show an absolute bias of less than 1 mm d-1 between the two datasets when the rain rate is less than 10 mm d-1. A large relative bias of the two datasets occurs at weak and heavy rain rates.
Keywords:GPCP  TRMM PR  precipitation
本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录!
点击此处可从《大气科学进展》浏览原始摘要信息
点击此处可从《大气科学进展》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号