Paper Info
Title
Using a Kalman Filter to Assimilate TRMM-Based Real-Time Satellite Precipitation Estimates over Jinghe Basin, China.
Abstract
In this study, efforts are focused on the comparison and validation of standard Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) products-Version-7 3B42RT estimates before and after assimilation by using a Kalman filter with independent rain gauge networks located within the Jinghe basin of China. Generally, the direct comparison of TMPA precipitation estimates to 200 collocated rain gauges from 2006 to 2008 demonstrate that the spatial and temporal rainfall characteristics over the region are well captured by the assimilation estimates. Especially, results also show that using Kalman filter to assimilate TRMM-based multi-satellite real-time precipitation estimates tends to perform well over regions, where gauge network is rather sparse. Last, this study highlights that accurate detection and estimation of precipitation in the summer season by Kalman filter, particularly for nonlinear convective precipitation events, is still a challenging task for the future development of assimilation technique for improving the satellite-based precipitation accuracy.
Year
DOI
Venue
2016
10.3390/rs8110899
REMOTE SENSING
Keywords
Field
DocType
precipitation,satellite,data assimilation,Karlman Filter
Meteorology,Quantitative precipitation estimation,Assimilation (phonology),Satellite,Rain gauge,Remote sensing,Kalman filter,Data assimilation,Climatology,Geology,Structural basin,Precipitation
Journal
Volume
Issue
ISSN
8
11
2072-4292
Citations 
PageRank 
References 
0
0.34
0
Authors
8
Name
Order
Citations
PageRank
Jiaqi Chen1165.97
Bin Yong22511.62
Liliang Ren32211.39
Weiguang Wang401.01
bo chen53120.10
Jianan Lin600.68
Zhongbo Yu7125.59
Ning Li814548.40