The coupled routing and excess storage (CREST) distributed hydrological model;Le modèle hydrologique distribué couplé routage et stockage des excédents (CREST)

Hydrological Sciences Journal

Volumn 56, Issue 1, 2011, Pages 84-98

  Wang, Jiahu ^a,b   Yang, Hong ^a   Li, Li ^a,b   Gourley, Jonathan J ^c   Sadiq, Khan I ^a   Yilmaz, Koray K ^d,e   Adler, Robert F ^d,e   Policelli, Frederick S ^d   Habib, Shahid ^d   Irwn, Daniel ^f   Limaye, Ashutosh S ^f   Korme, Tesfaye ^g   Okello, Lawrence ^g  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b HOHAI UNIVERSITY   (China)

^c NOAA/National Severe Storm Laboratory   (United States)

^d NASA GODDARD SPACE FLIGHT CENTER   (United States)

^e UNIVERSITY OF MARYLAND   (United States)

^f NASA MARSHALL SPACE FLIGHT CENTER   (United States)

^g African Regional Centre for Mapping of Resources for Development (RCMRD)   (Kenya)

Author keywords

Cell to cell routing; Crest; Distributed hydrological model; Excess storage; Lake victoria; Water balance

Indexed keywords

CREST; DISTRIBUTED HYDROLOGICAL MODEL; EXCESS STORAGE; LAKE VICTORIA; WATER BALANCE;

CELLS; CLIMATE MODELS; COMPUTER SIMULATION; CYTOLOGY; GEOLOGIC MODELS; LAKES; MOISTURE DETERMINATION; NASA; RAIN; RUNOFF; SOIL MOISTURE;

RESERVOIRS (WATER);

HYDROLOGICAL MODELING; RUNOFF; SIMULATION; SOIL MOISTURE; SPATIAL VARIATION; TEMPORAL VARIATION; WATER BUDGET; WATER STORAGE;

EAST AFRICAN LAKES; LAKE VICTORIA;

EID: 78751526041     PISSN: 02626667     EISSN: 21503435     Source Type: Journal    
DOI: 10.1080/02626667.2010.543087     Document Type: Article

References (39)

1. Bates, G. T., F. Giorgi & S. W. Hostetler (1993) Toward the simulation of the effects of the Great Lakes on regional climate. Mon. Weather Rev. 121, 1373-1387.
2. Beck, M. B. (1987) Water quality modeling: a review of the analysis of uncertainty. Water Resour. Res. 23, 1393-1442.
3. Bergström, S. (1995) The HBV model. In: Computer Models of Watershed Hydrology (V. Singh, ed.), 443-476. Highlands Ranch, CO: Water Resources Publications.
4. Beven, K. J. & Binley, A. M. (1992) The future of distributed models: model calibration and uncertainty prediction. Hydrol. Processes 6, 279-298.
5. Beven, K. & Freer, J. (2001) A dynamic TOPMODEL. Hydrol. Processes 15(10), 1993-2011, doi:10.1002/hyp.252.
6. Bonan, G. B. (1995) Sensitivity of a GCM simulation to inclusion of inland water surfaces. J. Climate 8, 2691-2704.
7. Branstetter, M. L. & Famiglietti, J. S. (1999) Testing the sensitivity of GCM-simulated runoff to climate model resolution using a parallel river transport algorithm. In: Proc. 14th Conf. on Hydrology, 391-392. Boston, MA: Am. Met. Soc.
8. Brooks, S. H. (1958) A discussion of random methods for seeking maxima. Operations Research 6, 244-254.
9. Burnash, R. J. C. (1995) The NWS river forecast system-catchment modeling. In: Computer Models of Watershed Hydrology (V. Singh, ed.), 311-366. Highlands Ranch, CO: Water Resources Publications.
10. Coe, M. T. (1997) Simulating continental surface waters: an application to Holocene Northern Africa. J. Climate 10, 1680-1689.
11. Dickinson, R. E. (1989) A regional climate model for the western united states. Climate Change 15(1), 383-422.
12. Friedl, M. A., McIver, D. K., Hodges, J. C. F., Zhang, X. Y., Muchoney, D., Strahler, A. H., Woodcock, C. E., Gopal, S., Schneider, A. & Cooper, A. (2002) Global land cover mapping fromMODIS: algorithms and early results. J. Remote Sens. Environ. 83(1-2), 287-302.
13. Gupta, J. V., Sorooshian, S. & Yapo, P. O. (1998) Toward improved calibration of hydrologic models: multiple and noncommensurable measures of information. Water Resour. Res. 34, 751-763.
14. Hagemann, S. & Dümenil, L. (1998) A parameterization of the lateral waterflow for the global scale. Climate Dynamics 14, 17-31.
15. Hargreaves, G. H. & Samani, Z. A. (1982) Estimating potential evaporation. J. Irrig. Drain. Engng ASCE 108(IR3), 223-230.
16. Hostetler, S. W., Bates, G. T. & Giorgi, F. (1993) Interactive coupling of a lake thermal model with a regional climate model. J. Geophys. Res. 98, 5045-5057.
17. Kundzewicz, Z. W. & Stakhiv, E. Z. (2010) Are climate models "ready for prime time" in water resources management applications, or is more research needed? Editorial. Hydrol. Sci. J. 55(7), 1085-1089.
18. Lehner, B., Verdin, K. & Jarvis, A. (2008) New global hydrography derived from spaceborne elevation data. Eos, Trans. Am. Geophys. Un. 89(10), 93-94.
19. Li, L., Hong, Y., Wang, J., Adler, R., Policelli, F., Habib, S., Irwn, D., Korme, T. & Okello, L. (2009) Evaluation of the real-time TRMM-based multi-satellite precipitation analysis for an operational flood prediction system in Nzoia basin, Lake Victoria, Africa. J. Natural Hazards 50(1), 2009, 109-123.
20. Liang, X., Lettenmaier, D. P. & Wood, E. F. (1996) One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer variable infiltration capacity model. J. Geophys. Res. 101(D16), 21,403-21,422.
21. Linsley, R. K., Kohler, M. A. & Paulhus, J. L. H. (1986) Hydrology for Engineers, 339-356. New York: McGraw-Hill.
22. Liston, G. E., Sud, Y. C. & Wood, E. F. (1994) Evaluating GCM land surface hydrology parameterizations by computing river discharges using a runoff routing model. J. Appl. Met. 33, 394-405.
23. Miller, J., Russell, G. & Caliri, G. (1994) Continental scale river flow in climate models. J. Climate 7, 914-928.
24. Naden, P. S. (1993) A routing model for continental-scale hydrology. In: Macroscale Modeling of the Hydrosphere (W. B.Wilkinson, ed.) (Proc. Yokohama Symp., July 1993), 67-79. Wallingford: IAHS Press, IAHS Publ. 214.
25. Nash, J. & Sutcliffe, J. (1970) River flow forecasting through conceptual models. Part I: A discussion of principles. J. Hydrol. 10, 282-290.
26. Osano, O., Nzyuko, D., Tole, M. & Admiraal, W. (2003) The fate of chloroacetanilide herbicides and their degradation products in the Nzoia Basin, Kenya. Ambio: J. Hum. Environ. 32(6), 424-427.
27. Priestley, C. H. B. & Taylor, R. J. (1972) On the assessment of surface heat flux and evaporation using large-scale parameters. Mon. Weather Rev. 100, 81-92.
28. Rabus, B., Eineder, M., Roth, A. & Bamler, R. (2003) The shuttle radar topography mission-a new class of digital elevation models acquired by spaceborne radar. Photogramm. Remote Sens. 57, 241-262.
29. Refsgaard, J. C. (1996) Terminology, modelling, protocol and classification of hydrological model codes. In: Distributed Hydrological Modelling (M. B. Abbott & J. C. Refsgaard, eds), 17-39. Amsterdam: Kluwer Academic Publishers, Water Science and Technology Library.
30. Refsgaard, J. C. & Storm, B. (1995) MIKE SHE. In: Computer Models of Watershed Hydrology (V. Singh, ed.), 809-846. Highlands Ranch, CO: Water Resources Publications.
31. Reichold, L., Zechman, E., Brill, E.& Holmes, H. (2010) Simulation-optimization framework to support sustainable watershed development by mimicking the predevelopment flow regime. J. Water Resour. Plan. Manage. 136, 366.
32. Singh, V. P. (ed.) (1995) Computer Models of Watershed Hydrology. Highlands Ranch, CO: Water Resources Publications.
33. Sausen, R., Schubert, S. & Dumenil, L. (1994) Amodel of river runoff for use in coupled atmosphere-ocean models. J. Hydrol. 155, 337-352.
34. Vörösmarty, C. J., Moore, B., Grace, A., Gildea, M., Melillo, J., Peterson, B., Rastetter, E. & Steudler, P. (1989) Continentalscale model of water balance and fluvial transport: an application to South America. Global Biogeochem. Cycles 3, 241-265.
35. Vrugt, J. A., Diks, C. G. H., Gupta, H. V., Bouten, W. & Verstraten, J. M. (2005) Improved treatment of uncertainty in hydrologic modeling: combining strengths of global optimization and data assimilation. Water Resour. Res. 41, W01017, doi:10.1029/2004WR003059.
36. Woolhiser, D. A., Smith, R. E. & Goodrich, D. C. (1990) KINEROS, Kinematic Runoff and ErosionModel: Documentation and User Manual. US Dept of Agriculture - Agric. Research Service, USDA-ARS no. 77.
37. Yilmaz, K. K., Vrugt, J. A., Gupta, H. V. & Sorooshian, S. (2010) Model calibration in watershed hydrology. Chapter 4 in: Advances in Data-based Approaches for Hydrologic Modeling and Forecasting (B. Sivakumar & R. Berndtsson, eds), 137-182. World Scientific Publishing.
38. Zhao, R. J. (1992) The Xianjiang model applied in China. J. Hydrol. 135(3), 371-381.
39. Zhao Renjun, Zhang Yilin, Fang Leren, Liu Xinren & Zhang Quansheng (1980) The Xinanjiang Model. In: Hydrological Forecasting (Proc. Oxford Symp., April 1980), 351-356. Wallingford: IAHS Press, IAHS Publ. 129.