Accuracy evaluation of multi-satellite precipitation products over Circum-Bohai-Sea Region.

doi:10.13287/j.1001-9332.201609.035

Abstract

Abstract: Precipitation is a key variable of the global energy and water cycle. The accuracy of precipitation data is essential for monitoring and forecasting flood and drought, as well as water resources management. Based on daily precipitation data of 55 meteorological stations over Circum-Bohai-Sea region during 1998-2014, the accuracy was evaluated and compared among 3 satellite-based precipitation products, i.e., TRMM 3B42 V7, CMORPH, and PERSIANN from daily to monthly scale. Their errors were quantified for different seasons. Results showed that generally, TRMM 3B42 V7 had the best performance while PERSIANN had the largest error. However, CMORPH had the highest detection rate of rainfall events. The rainfall was slightly overestimated by 3B42 V7 but underestimated by CMORPH and PERSIANN. Seasonally, the skill score in summer was higher than that in other seasons, and the capturing capability was much lower in winter. Meanwhile, the correlation coefficient and root mean square error varied with seasons. The performance of 3 satellite-based precipitation products increased from the daily to monthly scale. Larger errors still existed in the daily rainfall estimates, and especially the rainstorm was seriously underestimated. This study provided a basis for the use of satellite precipitation products in precipitation estimation and its application in climate and hydrological simulation over Circum-Bohai-Sea region.

LI Rui-ze, ZHANG An-ding, ZHANG Hua, JIANG De-juan. Accuracy evaluation of multi-satellite precipitation products over Circum-Bohai-Sea Region.[J]. Chinese Journal of Applied Ecology, 2016, 27(9): 2916-2924.

References

[1] Wanders N, Pan M, Wood EF. Correction of real-time satellite precipitation with multi-sensor satellite observations of land surface variables. Remote Sensing of Environment, 2015, 160: 206-221
[2] Gebregiorgis A, Hossain F. How much can apriori hydrologic model predictability help in optimal merging of satellite precipitation products? Journal of Hydrometeo-rology, 2011, 12: 1287-1298
[3] Tapiador FJ, Turk FJ, Petersen W, et al. Global precipitation measurement: Methods, datasets and applications. Atmospheric Research, 2012, 104/105: 70-97
[4] Tang L, Tian YD, Yan F, et al. An improved procedure for the validation of satellite-based precipitation estimates. Atmospheric Research, 2015, 163: 61-73
[5] Bai A-J (白爱娟), Fang J-G (方建刚), Zhang K-X (张科翔). Summer rainfall in Shaanxi and its neighborhood regions observed by TRMM satellite. Journal of Catastrophology (灾害学), 2008, 23(2): 41-45 (in Chinese)
[6] Sun L-Q (孙乐强), Hao Z-C (郝振纯), Wang J-H (王加虎), et al. Assessment and correction of TMPA products 3B42RT and 3B42V6. Journal of Hydraulic Engineering (水利学报), 2014, 46(10): 1135-1146 (in Chinese)
[7] Zhao TB, Akiyo Y. Evaluation of TRMM 3B42 product using a new gauge-based analysis of daily precipitation over China. International Journal of Climatology, 2014, 34: 2749-2762
[8] Cai Y-C (蔡研聪), Jin C-J (金昌杰), Wang A-Z (王安志), et al. Accuracy evaluation of the TRMM satellite-based precipitation data over the mid-high latitudes. Chinese Journal of Applied Ecology (应用生态学报), 2014, 25(11): 3296-3306 (in Chinese)
[9] Franchito SH, Rao VB, Vasques AC, et al. Validation of TRMM precipitation radar monthly rainfall estimates over Brazil. Journal of Geophysical Research, 2009, 114: D02105
[10] Gosset M, Viarre J, Quantin G, et al. Evaluation of se-veral rainfall products used for hydrological applications over West Africa using two high-resolution gauge networks. Quarterly Journal of the Royal Meteorological Society, 2013, 139: 923-940
[11] Gebremichael M, Hossain F. Satellite Rainfall Applications for Surface Hydrology. Berlin: Springer Verlag, 2010
[12] Li Z, Yang D, Hong Y. Multi-scale evaluation of high-resolution multi-sensor blended global precipitation pro-ducts over the Yangtze River. Journal of Hydrology, 2013, 500: 157-169
[13] Yin ZY, Zhang X, Liu X, et al. An assessment of the biases of satellite rainfall estimates over the Tibetan Plateau and correction methods based on topographic analysis. Journal of Hydrometeorology, 2008, 9: 301-326
[14] Qi W-W (齐文文), Zhang B-P (张百平), Pang Y (庞宇), et al. TRMM-data-based spatial and seasonal patterns of precipitation in the Qinghai-Tibet Plateau. Scientia Geographica Sinica (地理科学), 2013, 33(8): 999-1005 (in Chinese)
[15] Zhu G-F (朱国峰), Pu T (蒲焘), Zhang T (张涛), et al. The accuracy of TRMM precipitation data in Hengduan Mountainous Region, China. Scientia Geographica Sinica (地理科学), 2013, 33(9): 1125-1131 (in Chinese)
[16] Hu QF, Yang DW, Wang YT, et al. Accuracy and spatio-temporal variation of high resolution satellite rainfall estimate over the Ganjiang River Basin. Science China Technological Sciences, 2013, 56: 853-865
[17] Guo J (郭军), Ren G-Y (任国玉), Li M-C (李明财). Variations of precipitation of different categories in the Bohai Rim area in recent 47 years. Geographical Research (地理研究), 2010, 29(12): 2271-2280 (in Chinese)
[18] Guo R-F (郭瑞芳), Liu Y-B (刘元波). Multi-satellite retrieval of high resolution precipitation: An overview. Advances in Earth Science (地球科学进展), 2015, 30(8): 894-903 (in Chinese)
[19] Goddard Space Flight Center. Tropical Rainfall Measu-ring Mission [EB/OL]. (2015-09-20) [2015-10-15]. http://trmm.gsfc.nasa.gov/.
[20] Huffman GJ, Bolvin DT, Nelkin EJ, et al. The TRMM multisatellite precipitation analysis (TMPA): Quasi-Global, multiyear, combined-sensor precipitation estimates at fine scales. Journal of Hydrometeorology, 2007, 8: 38-55
[21] Joyce RJ, Janowiak JE, Arkin PA. CMORPH: A me-thod that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. Journal of Hydrometeorology, 2004, 5: 487-503
[22] Lazzara MA, Benson JM, Fox RJ, et al. The man computer interactive data access system: 25 years of interactive processing. Bulletin of the American Meteorological Society, 1999, 80: 271-284
[23] Soroosh S, Kuo LH, Gao XG, et al. Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bulletin of the American Meteorological Society, 2000, 81: 2035-2046
[24] Yong b, Ren LL, Hong Y, et al. Hydrologic evaluation of multisatellite precipitation analysis standard precipitation products in basins beyond its inclined latitude band: A case study in Laohahe basin, China. Water Resources Research, 2010, 46: W07542
[25] Elizabeth EE. Methods for verifying satellite precipitation estimates. Advances in Global Change Research, 2007, 28: 345-356
[26] Ebert EE, John EJ, Chris K. Comparison of near-real-time precipitation estimates from satellite observations and numerical models. Bulletin of the American Meteorological Society, 2007, 88: 47-64