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