[1]LI Wei,JIANG Ping,ZHAO Weiquan,et al.Analysis on Applicability of TRMM Precipitation Data in Karst Areas—A Case Study in Guizhou Province[J].Research of Soil and Water Conservation,2016,23(01):97-102.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
23
Number of periods:
2016 01
Page number:
97-102
Column:
Public date:
2016-02-28
- Title:
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Analysis on Applicability of TRMM Precipitation Data in Karst Areas—A Case Study in Guizhou Province
- Author(s):
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LI Wei1,3, JIANG Ping2, ZHAO Weiquan1, LAN Lianghong4
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1. Institute of Mountain Resources of Guizhou Province, Guiyang 550004, China;
2. Guizhou Provincial Third Institute of Surveying and Mapping, Guiyang 550004, China;
3. Institute of Eco-Environment Remote Sensing in Three Gorges Reservoir, Chongqing Normal University, Chongqing 400047, China;
4. Institute of Mountain Resources Company of Guizhou Province, Guiyang 550004, China
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- Keywords:
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Guizhou Province; TRMM 3B43; correlation coefficient; rainfall
- CLC:
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P333.1
- DOI:
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- Abstract:
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Based on the rainfall data from 26 meteorological stations and TRMM 3B43 during the period from 1998 to 2012 in Guizhou Province and the support of the GIS technologies, the correlation coefficient (R) and relative error (BIAS) have been utilized to analysis the application and distributional features for rainfall data of TRMM 3B43 in individual sites in the view of scales ranging from month and quarter to year in Guizhou Province. The results indicated that: (1) there was the good agreement between the data from TRMM 3B43 and meteorological stations, at the year scale, the accuracy of the rainfall data from TRMM 3B43 is relatively high and the R2 can reach up to 0.75. However, existence of great error in certain stations and maximum can reach to 19.13%. In general, the accuracy of rainfall data from TRMM 3B43 is greater than from meteorological stations; (2) in terms of seasons, the linear correlation coefficient (R) between the rainfall data from TRMM 3B43 and meteorological stations can up to 0.82 in spring, this value is greater than those in fall and winter. The linear correlation in summer is poor, reaching to 0.79 and through the test under confidence is 100%; (3) the high quality of accuracy for TRMM 3B43 can be obtained on the month scale, and R is 0.91; (4) rainfall data from 19 meteorological stations have been used to test the individual data accuracy, and the fitting outcome of R2 and R with the TRMM 3B43 reaches to 0.75 and 0.80, respectively, indicating that the rainfall data from TRMM 3B43 is applicable in this region.