Evaluating LSM-based water budgets over a West African basin assisted with a river routing scheme

Journal of Hydrometeorology

Volumn 15, Issue 6, 2014, Pages 2331-2346

  Getirana, Augusto C V ^a,c   Boone, Aaron ^a   Peugeot, Christophe ^b  

^a CENTRE NATIONAL DE RECHERCHES MÉTÉOROLOGIQUES   (France)

^b UNIVERSITÉ DE MONTPELLIER   (France)

^c NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Africa; Hydrologic models; Land surface model; Model evaluation performance; Parameterization

Indexed keywords

BASEFLOW; FLOW MODELING; HYDROLOGICAL MODELING; PARAMETERIZATION; PERFORMANCE ASSESSMENT; RUNOFF; STREAMFLOW; WATER BUDGET; WATER TABLE;

WEST AFRICA;

EID: 84915760343     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-14-0012.1     Document Type: Article

References (49)

1. Boone, A., J.-C. Calvet, and J. Noilhan, 1999: Inclusion of a third soil layer in a land-surface scheme using the force-restore method. J. Appl. Meteor., 38, 1611-1630, doi:10.1175/ 1520-0450(1999)038,1611:IOATSL.2.0.CO;2.
2. Boone, A., and Coauthors, 2004: The Rhône-Aggregation Land Surface Scheme Intercomparison project: An overview. J. Climate, 17, 187-208, doi:10.1175/1520-0442(2004)017,0187: TRLSSI.2.0.CO;2.
3. Boone, A., and Coauthors, 2009a: AMMA Land Surface Model Intercomparison Project Phase 2 (ALMIP-2). Gewex News, Vol. 9, No. 4, International GEWEX Project Office, Silver Spring, MD, 9-10. [Available online at www.gewex.org/ images/Nov2009.pdf.]
4. Boone, A., and Coauthors, 2009b: The AMMA Land Surface Model Intercomparison Project. Bull. Amer. Meteor. Soc., 90, 1865- 1880, doi:10.1175/2009BAMS2786.1.
5. Boyle, D. P., H. V. Gupta, and S. Sorooshian, 2000: Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods. Water Resour. Res., 36, 3663-3674, doi:10.1029/2000WR900207.
6. Canadell, J., R. B. Jackson, J. R. Ehleringer, H. A. Mooney, O. E. Sala, and E. D. Schulze, 1996: Maximum rooting depth of vegetation types at the global scale. Oecologia, 108, 583-595, doi:10.1007/BF00329030.
7. Chow, V. T., 1988. Applied Hydrology. McGraw-Hill, 572 pp.
8. Coe, M. T., M. H. Costa, and E. A. Howard, 2008: Simulating the surface waters of the Amazon River basin: Impacts of new river geomorphic and flow parameterization. Hydrol. Processes, 22, 2542-2553, doi:10.1002/hyp.6850.
9. Collischonn, W., D. Allasia, B. C. Silva, and C. E. M. Tucci, 2007: The MGB-IPH model for large-scale rainfall-runoff modelling. Hydrol. Sci. J., 52, 878-895, doi:10.1623/hysj.52.5.878.
10. Decharme, B., R. Alkama, F. Papa, S. Faroux, H. Douville, and C. Prigent, 2012: Global off-line evaluation of the ISBA-TRIP flood model. Climate Dyn., 38, 1389-1412, doi:10.1007/ s00382-011-1054-9.
11. Depraetere, C., M. Gosset, S. Ploix, and H. Laurent, 2009: The organization and kinematics of tropical rainfall systems ground tracked at mesoscale with gages: First results from the campaigns 1999-2006 on the Upper Ouémé Valley (Benin). J. Hydrol., 375, 143-160, doi:10.1016/j.jhydrol.2009.01.011.
12. Descloitres, M., L. Séguis, A. Legchenko, M. Wubda, A. Guyot, and J.-M. Cohard, 2011: The contribution of MRS and resistivity methods to the interpretation of actual evapotranspiration measurements: A case study in metamorphic context in north Bénin. Near Surf. Geophys., 9, 187-200, doi:10.3997/1873-0604.2011003.
13. Desconnets, J. C., J. D. Taupin, T. Lebel, and C. Leduc, 1997: Hydrology of the HAPEX-Sahel Central Super-Site: Surface water drainage and aquifer recharge through the pool systems. J. Hydrol., 188-189, 155-178, doi:10.1016/S0022-1694(96)03158-7.
14. Farr, T. G., and Coauthors, 2007: The Shuttle Radar Topography Mission. Rev. Geophys., 45,RG2004, doi:10.1029/2005RG000183.
15. Gaiser, T., and Coauthors, 2008: Development of a regional model for integrated management of water resources at the basin scale. Phys. Chem. Earth, 33, 175-182, doi:10.1016/ j.pce.2007.04.018.
16. Geiger, B., C. Meurey, D. Lajas, L. Franchistéguy, D. Carrer, and J.-L. Roujean, 2008: Near real-time provision of downwelling shortwave radiation estimates derived from satellite observations. Meteor. Appl., 15, 411-420, doi:10.1002/met.84.
17. Getirana, A. C. V., M.-P. Bonnet, O. C. Rotunno Filho, W. J. Mansur, W. Collischonn, J.-L. Guyot, and F. Seyler, 2010: Hydrological modeling and water balance of the Negro River basin: Evaluation with observed data and spatial altimetry. Hydrol. Processes, 24, 3219-3236, doi:10.1002/hyp.7747.
18. Getirana, A. C. V., A. Boone, D. Yamazaki, B. Decharme, F. Papa, and N. Mognard, 2012: The Hydrological Modeling and Analysis Platform (HyMAP): Evaluation in the Amazon basin. J. Hydrometeor., 13, 1641-1665, doi:10.1175/JHM-D-12-021.1.
19. Getirana, A. C. V., A. Boone, D. Yamazaki, and N. Mognard, 2013: Automatic parameterization of a flow routing scheme driven by radar altimetry data: Evaluation in the Amazon basin. Water Resour. Res., 49, 614- 629, doi:10.1002/wrcr.20077.
20. Getirana, A. C. V, and Coauthors, 2014: Water balance in the Amazon basin from a land surface model ensemble. J. Hydrometeor., doi:10.1175/JHM-D-14-0068.1, in press.
21. Giertz, S., B. Diekkrueger, and G. Steup, 2006: Physically-based modelling of hydrological processes in a tropical headwater catchment (West Africa)-Process representation and multicriteria validation. Hydrol. Earth Syst. Sci., 10, 829-847, doi:10.5194/hess-10-829-2006.
22. Goldberg, D. E., 1989. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley-Longman, 412 pp.
23. Habets, F., R. Etchevers, C. Golaz, E. Leblois, E. Ledoux, E. Martin, J. Noilhan, and C. Ottle, 1999: Simulation of the water budget and the river flows of the Rhone basin. J. Geophys. Res., 104, 31 145-31 172, doi:10.1029/1999JD901008.
24. Kamagaté, B., L. Séguis, G. Favreau, J.-L. Seidel, M. Descloitres, and P. Affaton, 2007: Processus et bilan des flux hydriques d'un bassin versant de milieu tropical de socle au Benin (Donga, haut Ouémé). C. R. Geosci., 339, 418-429, doi:10.1016/j.crte.2007.04.003.
25. Kaptué Tchuenté, A. T., S. M. De Jong, J. L. Roujean, C. Favier, and C. Mering, 2011: Ecosystem mapping at the African continent scale using a hybrid clustering approach based on 1-km resolution multi-annual data from SPOT/VEGETATION. Remote Sens. Environ., 115, 452-464, doi:10.1016/ j.rse.2010.09.015.
26. Kirpich, Z. P., 1940: Concentration time of small agricultural catchments. Civ. Eng., 10, 362.
27. Lebel, T., and Coauthors, 2009: AMMA-CATCH studies in the Sahelian region of West Africa: An overview. J. Hydrol., 375, 3-13, doi:10.1016/j.jhydrol.2009.03.020.
28. Leduc, C., J. Bromley, and P. Schroeter, 1997: Water table fluctuation and recharge in semi-arid climate: Some results of the HAPEX-Sahel hydrodynamic survey (Niger). J. Hydrol., 188- 189, 123-138, doi:10.1016/S0022-1694(96)03156-3.
29. Le Lay, M., G.-M. Saulnier, S. Galle, L. Seguis, M. Metadier, and C. Peugeot, 2008: Model representation of the Sudanian hydrological processes: Application on the Donga catchment (Benin). J. Hydrol., 363, 32-41, doi:10.1016/j.jhydrol.2008.09.006.
30. Li, H., M. S. Wigmosta, H. Wu,M. Huang, Y. Ke, A. M. Coleman, and L. R. Leung, 2013: A physically based runoff routing model for land surface and earth system models. J. Hydrometeor., 14, 808-828, doi:10.1175/JHM-D-12-015.1.
31. Lohmann, D., and Coauthors, 1998: The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) phase 2(c) Red-Arkansas River basin experiment: 3. Spatial and temporal analysis of water fluxes. Global Planet. Change, 19, 161-179, doi:10.1016/S0921-8181(98)00046-0.
32. Masson, V., and Coauthors, 2013: The SURFEXv7.2 externalized platform for the simulation of Earth surface variables and fluxes. Geosci. Model Dev., 6, 929-960, doi:10.5194/gmd-6-929-2013.
33. Miralles, D. G., T. R. H. Holmes, R. A. M. De Jeu, J. H. Gash, A. G. C. A. Meesters, and A. J. Dolman, 2011: Global landsurface evaporation estimated from satellite-based observations. Hydrol. Earth Syst. Sci., 15, 453-469, doi:10.5194/ hess-15-453-2011.
34. Mu, Q., F. A. Heinsch, M. Zhao, and S. W. Running, 2007: Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sens. Environ., 111, 519-536, doi:10.1016/j.rse.2007.04.015.
35. Mu, Q., M. Zhao, and S. W. Running, 2011: Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sens. Environ., 115, 1781-1800, doi:10.1016/ j.rse.2011.02.019.
36. Noilhan, J., and J.-F. Mahfouf, 1996: The ISBA land surface parameterization scheme. Global Planet. Change, 13, 145-159, doi:10.1016/0921-8181(95)00043-7.
37. Ponce, V. M., 1989: Engineering Hydrology: Principles and Practices. Prentice-Hall, 627 pp.
38. Ponce, V. M., and V. Yevjevich, 1978: Muskingum-Cunge method with variable parameters. J. Hydraul. Div., 104, 1663-1667.
39. Redelsperger, J.-L., C. D. Thorncroft, A. Diedhiou, T. Lebel, D. J. Parker, and J. Polcher, 2006: African Monsoon Multidisciplinary Analysis: An international research project and field campaign. Bull. Amer. Meteor. Soc., 87, 1739-1746, doi:10.1175/BAMS-87-12-1739.
40. Richard, A., S. Galle, M. Descloitres, J.-M. Cohard, J.-P. Vandervaere, L. Séguis, and C. Peugeot, 2013: Interplay of riparian forest and groundwater in the hillslope hydrology of Sudanian West Africa (northern Benin). Hydrol. Earth Syst. Sci., 17, 5079-5096, doi:10.5194/hess-17-5079-2013.
41. Schaefli, B., and H. V. Gupta, 2007: Do Nash values have value? Hydrol. Processes, 21, 2075-2080, doi:10.1002/hyp.6825.
42. Séguis, L., and Coauthors, 2011: Origins of streamflow in a crystalline basement catchment in a sub-humid Sudanian zone: The Donga basin (Benin, West Africa): Inter-annual variability of water budget. J. Hydrol., 402, 1-13, doi:10.1016/ j.jhydrol.2011.01.054.
43. Trambauer, P., E. Dutra, S. Maskey, M. Werner, F. Pappenberger, L. P. H. van Beek, and S. Uhlenbrook, 2014: Comparison of different evaporation estimates over the African continent. Hydrol. Earth Syst. Sci., 18, 193-212, doi:10.5194/ hess-18-193-2014.
44. Trigo, I. F., and Coauthors, 2011: The Satellite Application Facility on Land Surface Analysis. Int. J. Remote Sens., 32, 2725-2744, doi:10.1080/01431161003743199.
45. Tucci, C. E. M., 1998. Modelos Hidrológicos. ABRH-UFRGS, 669 pp.
46. Varado, N., I. Braud, S. Galle, M. Le Lay, L. Séguis, B. Kamagaté, and C. Depraetere, 2006: Multi-criteria assessment of the Representative Elementary Watershed approach on the Donga catchment (Benin) using a downward approach of model complexity. Hydrol. Earth Syst. Sci., 10, 427-442, doi:10.5194/hess-10-427-2006.
47. Vischel, T., T. Lebel, S. Massuel, and B. Cappelaere, 2009: Conditional simulation schemes of rain fields and their application to rainfall-runoff modeling studies in the Sahel. J. Hydrol., 375, 273-286, doi:10.1016/j.jhydrol.2009.02.028.
48. Yapo, P. O., H. V. Gupta, and S. Sorooshian, 1997: A multiobjective global optimization algorithm with application to calibration of hydrologic models. HWR Tech. Rep. 97-050, Dept. of Hydrology and Water Resources, University of Arizona, Tucson, AZ, 203 pp.
49. Yapo, P. O., H. V. Gupta, and S. Sorooshian, 1998: Multi-objective global optimization for hydrologic models. J. Hydrol., 204, 83-97, doi:10.1016/ S0022-1694(97)00107-8.