Water Science and Engineering 2010, 3(4) 405-417 DOI:   doi:10.3882/j.issn.1674-2370.2010.04.004  ISSN: 1674-2370 CN: 32-1785/TV

Current Issue | Archive | Search                                                            [Print]   [Close]
Information and Service
This Article
Supporting info
Service and feedback
Email this article to a colleague
Add to Bookshelf
Add to Citation Manager
Cite This Article
Email Alert
Satellite precipitation
surface rainfall
Laohahe basin
Shan-hu JIANG
Li-liang REN
Xiao-li YANG
Article by Shan-hu JIANG
Article by Li-liang REN
Article by Bin YONG
Article by Xiao-li YANG
Article by Lin SHI

Evaluation of high-resolution satellite precipitation products with surface rainfall over Laohahe Basin in northern China

Shan-hu JIANG, Li-liang REN*, Bin YONG, Xiao-li YANG, Lin SHI

1. State Key Laboratory of Hydrology, Water Researches and Hydraulic Engineering, Hohai University,
2. State Key Laboratory of Hydrology, Water Researches and Hydraulic Engineering, Hohai University3. State Key Laboratory of Hydrology, Water Researches and Hydraulic Engineering, Hohai University


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.

Keywords evaluation   Satellite precipitation   surface rainfall   Laohahe basin  
Received 2010-09-26 Revised 2010-11-02 Online: 2011-10-10 
DOI: doi:10.3882/j.issn.1674-2370.2010.04.004
Corresponding Authors: Li-liang REN
Email: rll@hhu.edu.cn
About author:

Bartier, P. M., and Keller, C. P. 1996. Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW). Computer and Geosciences, 22(7), 795-799. [doi:10.1016/0098 -3004(96)00021-0]
Chokngamwong, R., and Chiu, L. S. 2008. Thailand daily rainfall and comparison with TRMM products. Journal of Hydrometeorology, 9(2), 256-266. [doi:10.1175/2007JHM876.1]
Dinku, T., Ceccato, P., Grover-kopec, E., Lemma, M., Connor, S. J., and Ropelewski, C. F. 2007. Validation of satellite rainfall products over East Africa’s complex topography. International Journal of Remote Sensing, 28(7), 1503-1526. [doi:10.1080/01431160600954688]
Dinku, T., Chidzambwa, S., Ceccato, P., Connor, S. J., and Ropelewski, C. F. 2008. Validation of high-resolution satellite rainfall products over complex terrain. International Journal of Remote Sensing, 29(14), 4097-4110. [doi:10.1080/01431160701772526]
Ebert, E. E., Janowiak, J. E., and Kidd, C. 2007. Comparison of near-real-time precipitation estimates from satellite observations and numerical models. Bulletin of the American Meteorological Society, 88(1), 47-64. [doi:10.1175/BAMS-88-1-47]
Gottschalck, J., Meng, J., Rodell, M., and Houser, P. 2005. Analysis of multiple precipitation products and preliminary assessment of their impact on Global Land Data Assimilation System land surface states. Journal of Hydrometeorology, 6(5), 573-598.
Hong, Y., Hsu, K. L., Sorooshian, S., and Gao, X. 2004. Precipitation estimation from remotely sensed imagery using artificial neural network-cloud classification system. Journal of Applied Meteorology, 43(12), 1834-1853. [doi:10.1175/JAM2173.1]
Hong, Y., Adler, R. F., Hossain, F., Curtis, S., and Huffman, G. J. 2007a. A first approach to global runoff simulation using satellite rainfall estimation. Water Resources Research, 43(8), W08502. [doi:10.1029/ 2006WR005739]
Hong, Y., Adler, R. F., Negri, A., and Huffman, G. J. 2007b. Flood and landslide applications of near real-time satellite rainfall estimation. Natural Hazards, 43(2), 285-294. [doi:10.1007/s11069-006-9106-x]
Huffman, G. J., Adler, R. F., Bolvin, D. T., Gu, G., Nelkin, E. J., Bowman, K. P., Hong, Y., Stocker, E. F., and Wolff, D. B. 2007. The TRMM multi-satellite precipitation analysis (TMPA): Quasi-global, multi-year, combined-sensor precipitation estimates at fine scales. Journal of Hydrometeorology, 8(1), 38-55. [doi: 10.1175/JHM560.1]
Joyce, R. J., Janowiak, J. E., Arkin, P. A., and Xie, P. 2004. CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. Journal of Hydrometeorology, 5(3), 487-503.
Kummerow, C., Barnes, W., Kozu, T., Shi, J., and Simpson, J. 1998. The tropical rainfall measuring mission (TRMM) sensor package. Journal of Atmospheric and Oceanic Technology, 15, 809-817.
Nash, J. E., and Sutcliffe, J. V. 1970. River flow forecasting through conceptual models, Part 1: A discussion of principles. Journal of Hydrology, 10(3), 282-290. [doi:10.1016/0022-1694(70)90255-6]
Simpson, J., Adler, R. F., and North, G. R. 1988. A proposed tropical rainfall measuring mission (TRMM) satellite. Bulletin of the American Meteorological Society, 69(3), 278-295. [doi:10.1175/1520-0477(1988)         069<0278:APTRMM>2.0.CO;2]
Sorooshian, S., Hsu, K. L., Gao, X., Gupta, H., Imam, B., and Braithwaite, D. 2000. Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bulletin of the American Meteorology Society, 81(9), 2035-2046. [doi:10.1175/1520-0477(2000)081<2035:EOPSSE>2.3.CO;2]
Su, F. G., Hong, Y., and Lettenmaier, D. P. 2008. Evaluation of TRMM multisatellite precipitation analysis (TMPA) and its utility in hydrologic prediction in La Plata Basin. Journal of Hydrometeorology, 9(4), 622-640. [doi:10.1175/2007JHM944.1]
Tian, Y., Peters-Lidard, C. D., Choudhury, B. J., and Garcia, M. 2007. Multitemporal analysis of TRMM-based satellite precipitation products for land data assimilation applications. Journal of Hydrometeorology, 8(6), 1165-1183. [doi:10.1175/2007JHM859.1]
Yong, B., Ren, L. L., Hong, Y., Wang, J. H., Gourley, J. J., Jiang, S. H., Chen, X., and Wang, W. 2010. Hydrologic evaluation of TRMM standard precipitation products in basins beyond its inclined latitude band: A case study in Laohahe Basin, China. Water Resources Research, 46, W07542. [doi:10.1029/ 2009WR008965]
Yu, Z. F., Yu, H., Chen, P. Y., Qian, C. H., and Yue, C. J. 2009. Verification of tropical cyclone-related satellite precipitation estimates in mainland China. Journal of Applied Meteorology and Climatology, 48, 2227-2240. [doi:10.1175/2009JAMC2143.1]
Similar articles
1.Guang-ming YANG*, Chong-shi GU.Safety evaluation system for hydraulic metal structures based on knowledge engineering[J]. Water Science and Engineering, 2008,1(3): 102-111
2. Qing-yuan ZHU, Guo-hua FANG.Evaluation index system for positive operation of water conservancy projects[J]. Water Science and Engineering, 2009,2(4): 110-117
3.Malabika Biswas, Nihar Ranjan Samal, Pankaj K Roy, Asis Mazumdar.Man-wetland dependency and socio-economic evaluation of wetland functions of rural India through participatory approach[J]. Water Science and Engineering, 2010,3(4): 467-479
4.Shao-wei QIU*1, 2;Zeng-chuan DONG1;Fen XU2;Li SUN2;Sheng CHEN2.Tide forecasting method based on dynamic weight distribution for operational evaluation[J]. Water Science and Engineering, 2009,2(1): 25-31
5.Wen-hai ZHANG*1, Xing-nan ZHANG1, Zhi-dong GAO2.Factor value determination and applicability evaluation of universal soil loss equation in granite gneiss region[J]. Water Science and Engineering, 2009,2(2): 87-97
6.Qiao Lifang;Zhang Yichuan*;Cao Wei.Evaluation of urban river landscape design rationality based on AHP[J]. Water Science and Engineering, 2008,1(4): 75-81
7.Alemdar BAYRAKTAR*1;Murat Emre KARTAL2;Hasan Basri BASAGA1.Reservoir water effects on earthquake performance evaluation of Torul Concrete-Faced Rockfill Dam
[J]. Water Science and Engineering, 2009,2(1): 43-57
8.Zi-wu FAN*;Shu-hai JIANG;Ming ZHANG.Dynamic probability evaluation of safety levels of earth-rockfill dams using Bayesian approach[J]. Water Science and Engineering, 2009,2(2): 61-70
9.Bo HU, Zhong-ru WU, Guan-biao LIU, Bin ZHAO, Bo XU.Safety evaluation of replacement reinforcement quality in abutment contact zones of ultra-high arch dam in first impoundment period based on prototype monitoring[J]. Water Science and Engineering, 2012,5(2): 210-218
10.Qian-qi YIN, Guo-hua FANG .Harmoniousness analysis of total amount control of water use[J]. Water Science and Engineering, 2014,7(1): 49-59

Copyright by Water Science and Engineering