Comprehensive evaluation of multi-satellite precipitation products with a dense rain gauge network and optimally merging their simulated hydrological flows using the Bayesian model averaging method

Journal of Hydrology

Volumn 452-453, Issue , 2012, Pages 213-225

  Jiang, Shanhu ^a   Ren, Liliang ^a   Hong, Yang ^b   Yong, Bin ^a   Yang, Xiaoli ^a   Yuan, Fei ^a   Ma, Mingwei ^a  

^a HOHAI UNIVERSITY   (China)

^b UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

Bayesian model averaging; Hydrological modeling; Satellite precipitation; Streamflow

Indexed keywords

BASIN SCALE; BAYESIAN MODEL AVERAGING; COMPREHENSIVE EVALUATION; DATA SETS; HYDROLOGIC FLOW; HYDROLOGICAL MODELING; HYDROLOGICAL MODELS; MODEL PARAMETERS; NASH-SUTCLIFFE COEFFICIENT; PRECIPITATION PRODUCTS; RAIN GAUGE DATA; RAIN GAUGE NETWORKS; RAIN GAUGES; RECALIBRATIONS; RESEARCH AND APPLICATION; SATELLITE DATA; SATELLITE PRECIPITATION; SATELLITE PRODUCTS; SOUTH CHINA; STREAMFLOW SIMULATIONS; XINANJIANG MODEL;

BAYESIAN NETWORKS; BENCHMARKING; COMPUTER SIMULATION; GAGES; HYDROLOGY; MERGING; OPTIMIZATION; RAIN GAGES; STREAM FLOW;

SATELLITES;

BAYESIAN ANALYSIS; BENCHMARKING; DATA SET; FLOW MODELING; HYDROLOGICAL MODELING; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); RAINGAUGE; SATELLITE DATA; SATELLITE IMAGERY; STREAMFLOW;

CHINA; HUNAN; MISHUI BASIN;

EID: 84863107468     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2012.05.055     Document Type: Article

References (34)

1. Ajami N.K., Duan Q.Y., Sorooshian S. An integrated hydrological Bayesian multimodel combination framework: confronting input, parameter, and model structural uncertainty in hydrologic prediction. Water Resour. Res. 2007, 43:W01403.
2. Bartier P.M., Keller C.P. Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW). Comput. Geosci. 1996, 22:795-799.
3. Behrangi A., Khakbaz B., Jaw T.C., AghaKouchak A., Hus K., Sorooshian S. Hydrologic evaluation of satellite precipitation products over a mid-size basin. J. Hydrol. 2011, 397:225-237.
4. Bitew M.M., Gebremichael M. Evaluation of satellite rainfall products through hydrologic simulation in a full distributed hydrologic model. Water Resour. Res. 2011, 47:W06526.
5. Chiang Y.M., Hsu K.L., Chang F.J., Hong Y., Sorooshian S. Merging multiple precipitation sources for flash flood forecasting. J. Hydrol. 2007, 340:183-196.
6. Chokngamwong R., Chiu L.S. Thailand daily rainfall and comparison with TRMM products. J. Hydrometeorol. 2008, 9:256-266.
7. Duan Q.Y., Sorooshian S., Gupta V.K. Optimal use of the SCE-UA global optimization method for calibrating watershed models. J. Hydrol. 1994, 158:265-284.
8. Duan Q.Y., Ajami N.K., Gao X.G., Sorooshian S. Multi-model ensemble hydrologic prediction using Bayesian model averaging. Adv. Water Resour. 2007, 30:1371-1386.
9. Dinku T., Chidzambwa S., Ceccato P., Connor S.J., Ropelewski C.F. Validation of high-resolution satellite rainfall products over complex terrain. Int. J. Remote Sens. 2008, 29:4097-4110.
10. Ebert E.E., Janowiak J.E., Kidd C. Comparison of near-real-time precipitation estimates from satellite observations and numerical models. Bull. Am. Meteorol. Soc. 2007, 88:47-64.
11. Gebregiorgis A., Hossain F. How much can a priori hydrologic model predictability help in optimal merging of satellite precipitation products. J. Hydrometeorol. 2011, 12:1287-1298.
12. Hong Y., Hsu K.L., Sorooshian S., Gao X.G. Precipitation estimation from remotely sensed imagery using artificial neural network-cloud classification system. J. Appl. Meteorol. 2004, 43:1834-1852.
13. Hong Y., Adler R.F., Hossain F., Curtis S., Huffman G.J. A first approach to global runoff simulation using satellite rainfall estimation. Water Resour. Res. 2007, 43:W08502.
14. Huffman G.J., Adler R.F., Bolvin D.T., Gu G.J., Nelkin E.J., Bowman K.P., Hong Y., Stocker E.F., Wolff D.B. The TRMM multi-satellite precipitation analysis (TMPA): quasi-global, multi-year, combined-sensor precipitation estimates at fine scales. J. Hydrometeorol. 2007, 8:38-55.
15. Janowiak J.E., Joyce R.J., Yarosh Y. A real-time global half-hourly pixel-resolution infrared dataset and its applications. Bull. Am. Meteorol. Soc. 2001, 82:205-217.
16. Joyce R.J., Janowiak J.E., Arkin P.A., Xie P.P. CMORPH: a method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J. Hydrometeorol. 2004, 5:487-503.
17. Jiang S.H., Ren L.L., Yong B., Yang X.L., Shi L. Evaluation of high-resolution satellite precipitation products with surface rain gauge observations from Laohahe basin in northern China. Water Sci. Eng. 2010, 3:405-417.
18. Kubota T., Shige S., Hashizume H., Aonashi K., Takahashi N., Seto S., Hirose M., Takayabu Y.N., Ushio T., Nakagawa K., Iwanami K., Kachi M., Okamoto K. Global precipitation map using satellite borne microwave radiometers by the GSMaP project: production and validation. IEEE Trans. Geosci. Remote Sens. 2007, 45:2259-2275.
19. Liang X., Lettenmaier D.P., Wood E.F., Burges S.J. A simple hydrologically based model of land surface water and energy fluxes for GSMs. J. Geophys. Res. 1994, 99:14415-14428.
20. Liang X., Wood E.F., Lettenmaier D.P. Surface soil moisture parameterization of the VIC-2L model: evaluation and modification. Global Planet. Change 1996, 13:195-206.
21. Li M., Shao Q.X. An improved statistical approach to merge satellite rainfall estimates and raingauge data. J. Hydrol. 2010, 385:51-64.
22. Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models. Part 1: a discussion of principles. J. Hydrol. 1970, 10:282-290.
23. Sorooshian S., Hsu K.L., Gao X.G., Gupta H.V., Imam B., Braithwaite D. Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bull. Am. Meteorol. Soc. 2000, 81:2035-2046.
24. Su F., Hong Y., Lettenmaier D.P. Evaluation of TRMM multi-satellite precipitation analysis (TMPA) and its utility in hydrologic prediction in La Plata basin. J. Hydrometeorol. 2008, 9:622-640.
25. Stisen S., Sandholt I. Evaluation of remote-sensing-based rainfall products through predictive capability in hydrological runoff modeling. Hydrol. Process. 2010, 7:879-891.
26. Turk F.J., Miller S.D. Toward improved characterization of remotely sensed precipitation regimes with MODIS/AMSR-E blended data techniques. IEEE Trans. Geosci. Remote Sens. 2005, 43:1059-1069.
27. Tian Y.D., Peters-Lidard C.D., Choudhury B.J., Garcia M. Multitemporal analysis of TRMM-based satellite precipitation products for land data assimilation applications. J. Hydrometeorol. 2007, 8:1165-1183.
28. Turk F.J., Arkin P., Ebert E.E., Sapiano M.R.P. Evaluation high-resolution precipitation products. Bull. Am. Meteorol. Soc. 2008, 87:1911-1916.
29. Vrugt J.A., Gupta H.V., Bouten W., Sorooshian S. A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters. Water Resour. Res. 2003, 39:1201.
30. Yu Z.F., Yu H., Chen P.Y., Qian C.H., Yue C.J. Verification of tropical cyclone-related satellite precipitation estimates in mainland China. J. Appl. Meteorol. Climatol. 2009, 48:2227-2241.
31. Yong B., Ren L.L., Hong Y., Wang J.H., Gourley J.J., Jiang S.H., Chen X., Wang W. Hydrologic evaluation of multisatellite precipitation analysis standard precipitation products in basins beyond its inclined latitude band: a case study in Laohahe basin, China. Water Resour. Res. 2010, 46:W07542.
32. Yong B., Hong Y., Ren L.L., Gourley J.J., Huffman G.J., Chen X., Wang W., Khan S. Assessment of evolving TRMM-based multi-satellite real-time precipitation estimation methods and their impacts on hydrologic prediction in a high latitude basin. J. Geophys. Res. - Atmos. 2012, 117:D09108.
33. Yilmaz M.T., Houser P., Sherestha R., Anantharaj V.G. Optimally merging precipitation to minimize land surface modeling errors. J. Appl. Meteorol. Climatol. 2010, 49:415-423.
34. Zhao R.J. The Xinanjiang model applied in China. J. Hydrol. 1992, 135:371-381.