Evaluation of global flood detection using satellite-based rainfall and a hydrologic model

Journal of Hydrometeorology

Volumn 13, Issue 4, 2012, Pages 1268-1284

  Wu, Huan ^a,b   Adler, Robert F ^a,b   Hong, Yang ^c   Tian, Yudong ^a,b   Policelli, Fritz ^b  

^a Bldg 142   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FLOOD CONTROL; FLOOD FREQUENCY; HYDROLOGICAL MODELING; RAINFALL; RUNOFF; TRMM;

EID: 84868331798     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-11-087.1     Document Type: Article

References (35)

1. Adhikari, P., Y. Hong, K. R. Douglas, D. B. Kirschbaum, J. J. Gourley, R. F. Adler, and G. R. Brakenridge, 2010:Adigitized global flood inventory (1998-2008): Compilation and preliminary results. Nat. Hazards, 55, 405-422, doi:10.1007/s11069-010-9537-2.
2. Adler, R. F., and Coauthors, 2003: The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-present). J. Hydrometeor., 4, 1147-1167.
3. Al-Sabhan, W., M. Mulligan, and G. A. Blackburn, 2003: A realtime hydrological model for flood prediction using GIS and the WWW. Comput. Env. Urban Syst., 27, 9-32.
4. Artan, G., H. Gadain, J. Smith, K. Asante, C. J. 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.
5. Bosilovich, M., and Coauthors, 2006: NASA's Modern Era Retrospective-Analysis for Research and Applications (MERRA). U.S. CLIVAR Variations, Vol. 4, No. 2, U.S. CLIVAR Project Office, Washington, DC, 5-8.
6. Brakenridge, G. R., S. V. Nghiem, E. Anderson, and R. Mic, 2007: Orbital microwave measurement of river discharge and ice status. Water Resour. Res., 43, W04405, doi:10.1029/2006WR 005238.
7. Carpenter, T. M., J. A. Spersflage, K. P. Georgakakos, T. Sweeney, and D. L. Fread, 1999: National threshold runoff estimation utilizing GIS in support of operational flash flood warning systems. J. Hydrol., 224, 21-44.
8. Chow, V. T., D. R. Maidment, and L. W. Mays, 1988: Applied Hydrology. McGraw-Hill, 572 pp.
9. Cloke, H. L., and F. Pappenberger, 2009: Ensemble flood forecasting: A review. J. Hydrol., 375 (3-4), 613-626, doi:10.1016/ j.jhydrol.2009.06.005.
10. Dutta, D., S. Herath, and K. Musiake, 2000: Flood inundation simulation in a river basin using a physically based distributed hydrologic model. Hydrol. Processes, 14, 497-519.
11. Hirsch, R. M., 1987: Probability plotting position formulas for flood records with historical information. J. Hydrol., 96, 185-199.
12. Hong, Y., K. Hsu, H. Moradkhani, and S. Sorooshian, 2006: Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response. WaterResour.Res., 42,W08421, doi:10.1029/ 2005WR004398.
13. 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.
14. 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.
15. Huffman, G. J., R. F. Adler, D. T. Bolvin, and E. J. Nelkin, 2009: TheTRMM Multi-Satellite Precipitation Analysis (TMPA). Satellite Rainfall Applications for Surface Hydrology, M. Gebremichael and F. Hossain, Eds., Springer Verlag, 3-22.
16. IACWD, 1982: Guidelines for determining flood flow frequency. Interagency Advisory Committee on Water Data, Hydrology Subcommittee Bulletin 17-B (revised and corrected), 194 pp.
17. Kumar, S. V., and Coauthors, 2006: Land information system: An interoperable framework for high resolution land surface modeling. Environ. Modell. Software, 21, 1402-1415.
18. Lehner, B., K. Verdin, and A. Jarvis, 2008: New global hydrography derived from spaceborne elevation data. Eos, Trans. Amer. Geophys. Union, 89, 93-94.
19. Liang, X., D. P. Lettenmaier, E. F. Wood, and S. J. Burges, 1994:A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J. Geophys. Res., 99 (D7), 14 415-14 428.
20. Liang, X., E. F. Wood, and D. P. Lettenmaier, 1996: Surface soil moisture parameterization of the VIC-2L model: Evaluation and modifications. Global Planet. Change, 13, 195-206.
21. Pan, M., H. Li, and E. Wood, 2010: Assessing the skill of satellitebased precipitation estimates in hydrologic applications. Water Resour. Res., 46, W09535, doi:10.1029/2009WR008290.
22. Pappenberger, F., and R. Buizza, 2009: The skill of ECMWF precipitation and temperature predictions in the Danube basin as forcings of hydrological models. Wea. Forecasting, 24, 749-766.
23. Peters-Lidard, C. D., and Coauthors, 2007:High-performance Earth system modeling with NASA/GSFC's Land Information System. Innovations Syst. Software Eng., 3, 157-165.
24. Reed, S., J. Schaake, and Z. Zhang, 2007: A distributed hydrologic model and threshold frequency-based method for flash flood forecasting at ungauged locations. J. Hydrol., 337 (3-4), 402- 420, doi:10.1016/j.jhydrol.2007.02.015.
25. Shrestha, M. S., G. A. Artan, S. R. Bajracharya, and R. R. Sharma, 2008: Using satellite-based rainfall estimates for streamflow modelling: Bagmati Basin. J. Flood Risk Manage., 1, 89-99, doi:10.1111/j.1753-318X.2008.00011.x.
26. Smith, K., and R. Ward, 1998: Floods: Physical Processes and Human Impacts. Wiley, 394 pp.
27. Su, F. G., Y. Hong, and D. P. Lettenmaier, 2008: Evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) and its utility in hydrologic prediction in La Plata basin. J. Hydrometeor., 9, 622-640.
28. Su, F. G., H. Gao, G. J. Huffman, and D. P. Lettenmaier, 2011: Potential utility of the real-time TMPA-RT precipitation estimates in streamflow prediction. J. Hydrometeor., 12, 444-455.
29. Voisin, N., F. Pappenberger, D. P. Lettenmaier, R. Buizza, and J. C. Schaake, 2011: Application of a medium-range global hydrologic probabilistic forecast scheme to the Ohio River basin. Wea. Forecasting, 26, 425-446.
30. Vörösmarty, C. J., K. Sharma, B. Fekete, A. H. Copeland, J. Holden, J. Marble, and J. A. Lough, 1997: The storage and aging of continental runoff in large reservoir systems of the world. Ambio, 26, 210-219.
31. Vörösmarty, C. J., M. Meybeck, B. Fekete, K. Sharma, P. Green, and J. Syvitski, 2003: Anthropogenic sediment retention: Major global-scale impact from the population of registered impoundments. Global Planet. Change, 39, 169-190.
32. Wang, J., and Coauthors, 2011: The Coupled Routing And Excess Storage (CREST) distributed hydrological model. Hydrol. Sci. J., 56, 84-98.
33. Wu, H., J. S. Kimball, N. Mantua, and J. Stanford, 2011: Automated upscaling of river networks for macroscale hydrological modeling. Water Resour. Res., 47, W03517, doi:10.1029/ 2009WR008871.
34. Yilmaz, K. K., R. F. Adler, Y. Tian, Y. Hong, and H. F. Pierce, 2010: Evaluation of a satellite-based global flood monitoring system. Int. J. Remote Sens., 31, 3763-3782, doi:10.1080/ 01431161.2010.483489.
35. Zhao, R. J., and X. R. Liu, 1995: The Xinanjiang model. Computer Models of Watershed Hydrology, V. P. Singh, Ed., Water Resources Publications, 215-232.