Volume 3 Issue 4
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Article Navigation >  Water Science and Engineering  > 2010  >  3(4): 405-417
Shan-hu JIANG, Li-liang REN, Bin YONG, Xiao-li YANG, Lin SHI. 2010: Evaluation of high-resolution satellite precipitation products with surface rainfall over Laohahe Basin in northern China. Water Science and Engineering, 3(4): 405-417. doi: 10.3882/j.issn.1674-2370.2010.04.004
Citation: Shan-hu JIANG, Li-liang REN, Bin YONG, Xiao-li YANG, Lin SHI. 2010: Evaluation of high-resolution satellite precipitation products with surface rainfall over Laohahe Basin in northern China. Water Science and Engineering, 3(4): 405-417. doi: 10.3882/j.issn.1674-2370.2010.04.004
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Evaluation of high-resolution satellite precipitation products with surface rainfall over Laohahe Basin in northern China

doi: 10.3882/j.issn.1674-2370.2010.04.004

  • State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, P. R. China

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  • Corresponding author: Li-liang REN
  • Received Date: 2010-09-26
  • Rev Recd Date: 2010-11-02
    Abstract
  • Three high-resolution satellite precipitation products, Tropical Rainfall Measuring Mission (TRMM) Standard precipitation products (3B42V6 and 3B42RT) and NOAA Climate Precipitation Center (CPC) morphing technique precipitation products (CMORPH), were evaluated against dense surface rain gauge measurements over Laohahe Basin in northern China. Widely used validation statistical indices and categorical statistics were adopted in the study. The evaluations were performed at multiple time scales, ranging from daily to annual, for the years from 2003 to 2008. The results show that all the three satellite precipitation products perform very well in detecting the occurrence of the rainfall events, while there are some different biases in rainfall amount, the 3B42V6 having a bias of 19.6% fits the best with the gauge observations both at daily and monthly scales, while, the biases of 3B42RT and CMORPH (with the values of 78% and 65.7%, respectively) are much higher than a normal receivable threshold. The quality of the satellite precipitation products also have a monthly and yearly variation: 3B42RT has a big positive bias in cold months (Sep. to Mar.), while CMORPH has a big positive bias in warm month (May to Aug.), and they all get the best values in 2006 (with 6%, 41% and -6% biases for the 3B42V6, 3B42RT and CMORPH, respectively). Our evaluation shows that, over the Laohahe Basin, 3B42V6 has the best corresponding with the ground observations , and CMORPH reveals a litter better than 3B42RT. The high errors of the real-time satellite precipitation products (i.e., 3B42RT and CMORPH) reminds us that some new quests for improving the precision of the satellite precipitation products must be proceeded.

     

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