Framework for satellite rainfall product evaluation

Geophysical Monograph Series

Volumn 191, Issue , 2010, Pages 265-275

  Gebremichael, Mekonnen ^a  

^a UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84889095591     PISSN: None     EISSN: None     Source Type: Book Series    
DOI: 10.1029/2010GM000974     Document Type: Article

References (36)

1. Arnold, J. G., R. Srinivasan, R. S. Muttiah, and P. M. Allen (1998), Large-area hydrologic modeling and assessment: Part I. Model development, J. Am. Water Resour. Assoc., 34(1), 73-89, doi:10.1111/j.1752-1688.1998.tb05961.x.
2. Artan, G., H. Gadain, J. Smith, K. Asante, C. Bandaragoda, and J. Verdin (2007), Adequacy of satellite-derived rainfall data for streamflow modeling, Nat. Hazards, 43, 167-185, doi:10.1007/ s11069-007-9121-6
3. Bitew, M. M., and M. Gebremichael (2010), Evaluation through independent measurements: Complex terrain and humid tropical region in Ethiopia, in Satellite Rainfall Applications for Surface Hydrology, edited by M. Gebremichael, and F. Hossain, pp. 205-214, doi:10.1007/978-90-481-2915-7-12, Springer, Netherlands
4. Brown, J. E. M. (2006), An analysis of the performance of hybrid infrared and microwave satellite precipitation algorithms over India and adjacent regions, Remote Sens. Environ., 101, 63-81
5. Ciach, G. J., andW. F. Krajewski (1999), On the estimation of radar rainfall error variance, Adv. Water Resour., 22(6), 585-595
6. Dinku, T., S. J. Connor, and P. Ceccato (2010), Comparison of CMORPH and TRMM-3B42 over mountainous regions of Africa and South America, in Satellite Rainfall Applications for Surface Hydrology, edited by Dinku, T., and F. Hossain, pp. 193-204, doi:10.1007/978-90-481-2915-7-11, Springer, Netherlands
7. Ebert, E. E., J. E. Janowiak, and C. Kidd (2007), Comparison of nearreal- time precipitation estimates from satellite observations and numerical models, Bull. Am. Meteorol. Soc., 88(1), 47-64
8. Gebremichael, M., and W. F. Krajewski (2004), Characterization of the temporal sampling error in space-time-averaged rainfall estimates from satellites, J. Geophys. Res., 109, D11110, doi:10.1029/2004JD004509
9. Gebremichael, M.,W. F. Krajewski, M. Morrissey, G. Huffman, and R. Adler (2005), A detailed evaluation of GPCP one-degree daily rainfall estimates over the Mississippi River Basin, J. Appl. Meteorol., 44(5), 665-681
10. Gilks,W. R., N. G. Best, and K. K. C. Tan (1995), Adaptive rejection Metropolis sampling, Appl. Stat., 44, 455-472
11. Gottschalck, J., J. Meng, M. Rodell, and P. Houser (2005), Analysis of multiple precipitation products and preliminary assessment of their impact on global land data assimilation system land surface states, J. Hydrometeorol., 6, 573-598
12. Habib, E., A. Henschke, and R. F. Adler (2009), Evaluation of TMPA satellite-based research and real-time rainfall estimates during six tropical-related heavy rainfall events over Louisiana, USA, Atmos. Res., 94(3), 373-388, doi:10.1016/ j.atmosres.2009.06.015
13. Hirpa, F. A., M. Gebremichael, and T. Hopson (2010), Evaluation of high resolution satellite precipitation products over very complex terrain in Ethiopia, J. Appl. Meteorol. Climatol., 49, 1044-1051, doi:10.1175/2009JAMC2298. 1
14. Hong,Y.,K. L. Hsu, S. Sorooshian, and X. Gao (2004), Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system, J. Appl. Meteorol., 43, 1834-1852
15. Huffman, G. J., R. F. Adler, D. T. Bolvin, G. Gu, E. J. Nelkin, K. P. Bowman, Y. Hong, E. F. Stocker, and D. B. Wolff (2007), The TRMM Multisatellite Precipitation Analysis (TMPA): Quasiglobal, multilayer, combined-sensor, precipitation estimates at fine scale, J. Hydrometeorol., 8, 38-55
16. Hyndman, R. J., D. M. Bashtannyk, and G. K. Grunwald (1996), Estimating and visualizing conditional densities, J. Comput. Graph. Stat., 5, 315-336
17. Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. Xie (2004), CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution, J. Hydrometeorol., 5, 487-503
18. Krajewski,W. F., and J. A. Smith (2002), Radar hydrology: Rainfall estimation, Adv. Water Resour., 25, 1387-1394
19. Krajewski,W. F., G. Villarini, and J. A. Smith (2010), Radar-rainfall uncertainties: Where are we after thirty years of efforts?, Bull. Am. Meteorol. Soc., 91(1), 87-94
20. Kuczera, G., D. Kavetski, S. Franks, and M. Thyer (2006), Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm dependent parameters, J. Hydrol., 331, 161-177
21. Moradkhani, H., and T. T. Meskele (2010), Probabilistic assessment of the satellite rainfall retrieval error translation to hydrologic response, in Satellite Rainfall Applications for Surface Hydrology, edited by Moradkhani, H., and F. Hossain, pp. 229-242, doi:10.1007/978-90-481-2915-7-14, Springer, Netherlands
22. Moradkhani, H., K. Hsu, Y. Hong, and S. Sorooshian (2006), Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting, Geophys. Res. Lett., 33, L12401, doi:10.1029/ 2006GL026855
23. Petris, G., and L. Tardella (2006), Transdimensional Markov Chain Monte Carlo using hyperplane inflation in locally nested spaces, Technical Rep. 4, Dipartimento di Statistica, Probabilit(e Statistiche Applicate, Universit( di Roma ?La Sapienza?, Rome, Italy
24. Sapiano, M. R. P., J. E. Janowiak,W. Shi, R.W. Higgins, and V. B. S. Silva (2010), Regional evaluation through independent precipitation measurements: USA, in in: Satellite Rainfall Applications for Surface Hydrology, edited by Sapiano, M. R. P., and F. Hossain, pp. 169 -191, doi:10.1007/978-90- 481-2915-7-10, Springer, Netherlands
25. Smith, E. A., et al. (2007), International Global Precipitation Measurement (GPM) Program and Mission: An Overview, in Measuring Precipitation From Space, edited by Smith, E. A., P. Bauer, and J. Turk, pp. 611-653, Springer, Dordrecht, Netherlands
26. Sorooshian, S., K. Hsu, X. Gao, H. V. Gupta, B. Imam, and D. Braithwaite (2000), Evaluation of PERSIANN system satellitebased estimates of tropical rainfall, Bull. Am. Meteorol. Soc., 81, 2035-2046
27. Steiner, M., T. L. Bell,Y. Zhang, and E. F.Wood (2003), Comparison of two methods for estimating the sampling-related uncertainty of satellite rainfall averages based on a large radar dataset, J. Clim., 16, 3759-3778
28. Su, F., Y. Hong, and D. P. Lettenmaier (2008), Evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) and its utility in hydrologic prediction in the La Plata Basin, J. Hydrometeorol., 9, 622-640
29. Tian,Y.,C.D. Peters-Lidard, B. J. Chaudhury, and M. Garcia (2007), Multitemporal analysis of TRMM-based satellite precipitation products for land data assimilation applications, J. Hydrometeorol., 8, 1165-1183, doi:10.1175/2007JHM859.1
30. Tobin, K. J., and M. E. Bennett (2009), Using SWAT to model streamflow in two river basins with ground and satellite precipitation data, J. Am. Water Resour. Assoc., 45(1), 253-271, doi:10.1111/j.1752-1688.2008.00276.x.
31. Villarini, G., and W. F. Krajewski (2010), Review of the different sources of uncertainty in radar-based estimates of rainfall, Surv. Geophys., 31, 107-129
32. Wilks, D. S. (1995), Statistical Methods in the Atmospheric Science, 465 pp., Academic, San Diego, Calif
33. Yan, J., and M. Gebremichael (2009), Estimating actual rainfall from satellite rainfall products, Atmos. Res., 92(4), 481-488, doi:10.1016/j. atmosres.2009.02.004
34. Yilmaz, K. K., T. S. Hogue, K.-L. Hsu, S. Sorooshian, H. V. Gupta, and T.Wagener (2005), Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting, J. Hydrometeorol., 6, 497-517
35. Zeweldi, D. A., and M. Gebremichael (2009a), Evaluation of CMORPH precipitation products at fine space-time scales, J. Hydrometeorol., 10(1), 300-307, doi:10.1175/2008JHM1041.1
36. Zeweldi, D. A., and M. Gebremichael (2009b), Sub-daily scale validation of satellite-based high-resolution rainfall products, Atmos. Res., 92(4), 427-433, doi:10.1016/j.atmosres.2009.01. 001