DocumentCode :
573476
Title :
Spatial-temporal accuracy validation and uncertainty analysis for TRMM 3B42 data at provincial scale in China
Author :
Hongfen, Teng ; Yanfeng, Tian ; Zhou, Shi ; Huiming, Jin
Author_Institution :
Inst. of Appl. RS & Inf. Technol., Zhejiang Univ., Hangzhou, China
fYear :
2012
fDate :
2-4 Aug. 2012
Firstpage :
1
Lastpage :
4
Abstract :
This study makes use of 51 rain gauges in May, 2010 over Zhejiang as “true value” in order to validate the Tropical Rainfall Measuring Mission (TRMM) algorithm 3B42 in spatial-temporal scale based on the correlation coefficients and scatter points slope methods. In order to find the relationship between TRMM 3B42 and DEM, a three-polynomial-regression analysis was made with DEM as a dependent variable. The results show that TRMM 3B42 data displayed good accuracy in the overall area at daily time scale, and TRMM 3B42 precipitation data is less than rain gauges data. As far as the individual, the majority of the R value is high, and few parts is low, and the minimum value appears in research areas of Yu Qian, Shangpujia, Zhuji, Linpu. DEM presented a relatively complex influence of TRMM 3B42, as the elevation increases, R shows increasing-decreasing-increasing trend, the tendency of |Bias| is reducing-increasing.
Keywords :
atmospheric techniques; digital elevation models; meteorological instruments; polynomials; rain; regression analysis; China; DEM; Linpu; Shangpujia; TRMM 3B42 data; TRMM 3B42 precipitation data; Tropical Rainfall Measuring Mission algorithm 3B42; Vu Qian; Zhejiang; Zhuji; correlation coefficients; daily time scale; increasing-decreasing-increasing trend; provincial scale; rain gauge data; scatter point slope methods; spatial-temporal accuracy validation; spatial-temporal scale; three-polynomial-regression analysis; uncertainty analysis; Accuracy; Hydrology; Market research; Rain; Spaceborne radar; DEM; TRMM 3B4; accuracy validation; precipitation; spatial-temporal scale;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-2495-3
Electronic_ISBN :
978-1-4673-2494-6
Type :
conf
DOI :
10.1109/Agro-Geoinformatics.2012.6311705
Filename :
6311705
Link To Document :
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