Understanding the scale relationships of uncertainty propagation of satellite rainfall through a distributed hydrologic model

Journal of Hydrometeorology

Volumn 11, Issue 2, 2010, Pages 520-532

  Nikolopoulos, Efthymios I ^a,b   Anagnostou, Emmanouil N ^a,b   Hossain, Faisal ^c   Gebremichael, Mekonnen ^a   Borga, Marco ^d  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b INSTITUTE OF OCEANOGRAPHY   (Greece)

^c Tennessee Technological University   (United States)

^d UNIVERSITY OF PADOVA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY ASSESSMENT; DRAINAGE NETWORK; ERROR ANALYSIS; HYDROGRAPH; HYDROLOGICAL MODELING; NUMERICAL MODEL; RAINFALL; RAINFALL-RUNOFF MODELING; SATELLITE DATA; SPATIAL DISTRIBUTION; STREAMFLOW; TERRAIN; UNCERTAINTY ANALYSIS;

EID: 77953347903     PISSN: 1525755X     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009JHM1169.1     Document Type: Article

References (43)

1. Arkin, P. A., and B. N.Meisner, 1987, The relationship between largescale convective rainfall and cold cloud cover over the Western Hemisphere during 1982-84. Mon. Wea. Rev., 115, 51-74.
2. Bellerby, T. J., and J. Sun, 2005, Probabilistic and ensemble representations of the uncertainty in an IR/microwave satellite precipitation product. J. Hydrometeor., 6, 1032-1044.
3. Borga, M., 2002, Accuracy of radar rainfall estimates for streamflow simulation. J. Hydrol., 267, 26-39.
4. Borga, M., E. N. Anagnostou, and E. Frank, 2000, On the use of realtime radar rainfall estimates for flood prediction in mountainous basins. J. Geophys. Res., 105 (D2), 2269-2280.
5. Collischonn, B., W. Collischonn, and C. E. M. Tucci, 2008, Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates. J. Hydrol., 360, 207-216.
6. Dinku, T., P. Ceccato, E. Grover-Kopec, M. Lemma, S. J. Connor, and C. F. Ropelewski, 2007, Validation of satellite rainfall products over East Africa's complex topography. Int. J. Remote Sens., 28, 1503-1526.
7. Duan, Q., S. Sorooshian, and V. K. Gupta, 1992, Effective and Efficient Global Optimization for Conceptual Rainfall-Runoff Models. Water Resour. Res., 28, 1015-1031.
8. Ebert, E. E., J. E. Janowiak, and C.Kidd, 2007, Comparison of nearreal-time precipitation estimates from satellite observations and numerical models. Bull. Amer. Meteor. Soc., 88, 47-64.
9. Forman, B. A., E. R. Vivoni, and S. A. Margulis, 2008, Evaluation of ensemble-based distributed hydrologic model response with disaggregated precipitation products. Water Resour. Res., 44, W12409, doi:10.1029/2008WR006827.
10. Garrote, L., 1992, Real-time modeling of river basin response using radar-generated rainfall maps and a distributed hydrologic database. M.S. thesis, Dept. of Civil and Environmental Engineering, MIT, 501 pp.
11. 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.
12. Griffith, C.G., W. L. Woodley, P.G.Grube,D.W.Martin, J. Stout, and D. N. Sikdar, 1978, Rain estimation from geosynchronous satellite imagery-Visible and infrared studies. Mon. Wea. Rev., 106, 1153-1171.
13. Guetter, A. K., K. P. Georgakakos, and A. A. Tsonis, 1996, Hydrologic applications of satellite data, 2. Flow simulation and soil water estimates. J. Geophys. Res., 101, 26 527-26 538.
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. Meteor., 43, 1834-1852.
15. Hong, Y., K.-L. Hsu, H. Moradkhani, and S. Sorooshian, 2006, Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response. Water Resour. Res., 42, W08421, doi:10.1029/2005WR004398.
16. Hong, Y., R. F. Adler, F. Hossain, S. Curtis, and G. J. Huffman, 2007:A first approach to global runoff simulation using satellite rainfall estimation. Water Resour. Res., 43, W08502, doi:10.1029/2006WR005739.
17. Hossain, F., and E. N. Anagnostou, 2004, Assessment of current passive-microwave- and infrared-based satellite rainfall remote sensing for flood prediction. J. Geophys. Res., 109, D07102, doi:10.1029/2003JD003986.
18. Hossain, F., and E. N. Anagnostou, 2005, Numerical investigation of the impact of uncertainties in satellite rainfall estimation and land surface model parameters on simulation of soil moisture. Adv. Water Resour., 28, 1336-1350.
19. Hossain, F., and E. N. Anagnostou, 2006a, Assessment of a Multidimensional Satellite Rainfall Error Model for Ensemble Generation of Satellite Rainfall Data. IEEE Trans. Geosci. Remote Sens. Lett., 3, 419-423.
20. Hossain, F., and E. N. Anagnostou, 2006b, A two-dimensional satellite rainfall error model. IEEE Trans. Geosci. Remote Sens., 44, 1511-1522.
21. Hossain, F., L. Tang, E. N. Anagnostou, and E. I. Nikolopoulos, 2009, A practical guide to a space-time stochastic error model for simulation of high-resolution satellite rainfall data. Satellite Rainfall Applications for Surface Hydrology, M. Gebremichael and F. Hossain, Eds., Springer, 145-167.
22. Huffman, G. J., R. F. Adler, M. M. Morrissey, D. T. Bolvin, S. Curtis,R. Joyce, B.McGavock, and J. Susskind, 2001:Global precipitation at one-degree daily resolution from multisatellite observations. J. Hydrometeor., 2, 36-50.
23. Huffman, G. J., and Coauthors, 2007, The TRMM Multisatellite Precipitation Analysis (TMPA), Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J. Hydrometeor., 8, 38-55.
24. Ivanov, V. Y., E. R. Vivoni, R. L. Bras, and D. Entekhabi, 2004, Catchment hydrologic response with a fully distributed triangulated irregular network model. Water Resour. Res., 40, W11102, doi:10.1029/2004WR003218.
25. Jury, W. A., W. R. Gardner, and W. H. Gardner, 1991, Soil Physics. 5th ed. John Wiley & Sons, 328 pp.
26. Kidd, C., D. R. Kniveton, M. C. Todd, and T. J. Bellerby, 2003, Satellite rainfall estimation using combined passive microwave and infrared algorithms. J. Hydrometeor., 4, 1088-1104.
27. Krajewski, W. F., and J. A. Smith, 2002, Radar hydrology, Rainfall estimation. Adv. Water Resour., 25, 1387-1394.
28. Mascaro, G., E. R. Vivoni, and R. Deidda, 2010, Implications of ensemble quantitative precipitation forecast errors on distributed streamflow forecasting. J. Hydrometeor., 1, 69-86.
29. McCollum, J. R., W. F. Krajewski, R. R. Ferraro, and M. B. Ba, 2002, Evaluation of biases of satellite rainfall estimation algorithms over the continental United States. J. Appl. Meteor., 41, 1065-1080.
30. Nijssen, B., and D. P. Lettenmaier, 2004, Effect of precipitation sampling error on simulated hydrological fluxes and states, Anticipating the Global Precipitation Measurement satellites. J. Geophys. Res., 109, D02103, doi:10.1029/2003JD003497.
31. Pessoa, M. L., R. L. Bras, and E. R. Williams, 1993, Use of weather radar for flood forecasting in the Sieve River basin, A sensitivity analysis. J. Appl. Meteor., 32, 462-475.
32. Sharif, H. O., F. L. Ogden, W. F. Krajewski, and M. Xue, 2004, Statistical analysis of radar rainfall error propagation. J. Hydrometeor., 5, 199-212.
33. Smith, E. A., and Coauthors, 2007, International Global Precipitation Measurement (GPM) program and mission, An overview. Measuring Precipitation from Space, EURAINSAT and the Future, V. Levizzani, P. Bauer, and F. J. Turk, Eds., Advances inGlobal Change Research Series,Vol. 28, Springer, 611-653.
34. 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. Climate, 16, 3759-3778.
35. 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. Hydrometeor., 9, 622-640.
36. Tilford, K. A., 1987, Real-time flood forecasting using low intensity resolution radar rainfall data. M.S. thesis, Dept. of Civil Engineering, University of Birmingham, 67 pp.
37. Tsintikidis, D., K. P. Georgakakos, G. A. Artan, and A. A. Tsonis, 1999, A feasibility study on mean areal rainfall estimation and hydrologic response in the Blue Nile region using METEOSAT images. J. Hydrol., 221, 97-116.
38. Vivoni, E. R., V. Y. Ivanov, R. L. Bras, and D. Entekhabi, 2004, Generation of triangulated irregular networks based on hydrological similarity. J. Hydrol. Eng., 9, 288-303.
39. Vivoni, E. R., V. Y. Ivanov, R. L. Bras, and D. Entekhabi, 2005, On the effects of triangulated terrain resolution on distributed hydrologic model response. Hydrol. Processes, 19, 2101-2122.
40. Vivoni, E. R, R. S. Bowman, R. L. Wyckoff, R. T. Jakubowski, and K. E. Richards, 2006a, Analysis of a monsoon flood event in an ephemeral tributary and its downstream hydrologic effects. Water Resour. Res., 42, W03404, doi:10.1029/2005WR004036.
41. Vivoni, E. R, D. Entekhabi, R. L. Bras, V. Y. Ivanov, M. P. Van Horne, C. Grassotti, and R. N. Hoffman, 2006b, Extending the predictability of hydrometeorological flood events using radar rainfall nowcasting. J. Hydrometeor., 7, 660-677.
42. Vivoni, E. R, D. Entekhabi, and R. N. Hoffman, 2007, Error propagation of radar rainfall nowcasting fields through a fully distributed flood forecasting model. J. Appl. Meteor. Climatol., 46, 932-940.
43. Wilk, J., D. Kniveton, L. Andersson, R. Layberry, M. C. Todd, D. Hughes, S. Ringrose, and C. Vanderpost, 2006, Estimating rainfall and water balance over the Okavango River Basin for hydrological applications. J. Hydrol., 331, 18-29.