DocumentCode :
2673459
Title :
Calculation of monthly precipitation anomaly percentage using web-serviced remote sensing data
Author :
Shao-E, Yang ; Bing-Fang, Wu
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
Volume :
5
fYear :
2010
fDate :
27-29 March 2010
Firstpage :
621
Lastpage :
625
Abstract :
The traditional drought monitoring index, monthly precipitation anomaly percentage, is experimented to calculate using web-serviced remote sensing data in this paper. The Tropical Rainfall Measuring Mission (TRMM) monthly precipitation rate products are puplished by Goddard Space Flight Center in internet, all products can be downloaded freely. First, the monthly rainfall of China in July and August of 1998-2008 was derived from the TRMM monthly precipitation rate products, then used the monthly rainfall to calculate the monthly precipitation anomaly percentage in July 2006, August 2006, July 2007, and August 2007. The monthly precipitation anomaly percentage were verified with the observed data from China Meteorological Administration. The comparisons indicate that the monthly precipitation anomaly percentage is not obviously different from the observed data. The monthly precipitation anomaly percentage which is calculated using TRMM data can denote drought fairly well.
Keywords :
Web services; geophysics computing; hydrology; meteorology; rain; remote sensing; China Meteorological Administration; Goddard Space Flight Center; Web service; drought monitoring index; monthly precipitation anomaly percentage; remote sensing data; tropical rainfall measuring mission; Infrared image sensors; Internet; Land surface temperature; Meteorology; Remote monitoring; Remote sensing; Satellite broadcasting; Space missions; Temperature sensors; Vegetation mapping; TRMM; precipitation anomaly percentage; remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
Type :
conf
DOI :
10.1109/ICACC.2010.5486796
Filename :
5486796
Link To Document :
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