306
I. Thiaw et al.
Gilks WR, Roberts GO, Sahu SK (1998) Adaptive Markov Chain Monte Carlo through Regeneration. Journal of the American Statistical Association 93(443):1045. https://doi.org/10.2307/266
9848
Giorgi, F. Jones, C. & Asrar G.R (2009). Addressing climate information needs at the regional level:
the CORDEX framework. WMO Bull., 58 (3) (2009), pp. 175–183
Guo L-Y, Gao Q, Jiang Z-H, Li L (2018) Bias correction and projection of surface air temperature in
LMDZ multiple simulation over central and eastern China. Advances in Climate Change Research
9(1):81–92. https://doi.org/10.1016/j.accre.2018.02.003
Gupta, H. V., Bastidas, L. A., Vrugt, J. A., & Sorooshian, S. (2003). Multiple criteria global
optimization for watershed model calibration. Calibration of Watershed Models, 125–132
Grouillet B, Ruelland D, Ayar PV, Vrac M (2016) Sensitivity analysis of runoff modeling to statistical
downscaling models in the western Mediterranean. Hydrol Earth Syst Sci 20:1031–1047
Hubert P., Servat E., Paturel J-E., Kouamé B., Bendjoudi H., Carbonnel J-P., et Lubes-Niel H., 1998.
La procédure de Segmentation, 10 ans après. http://horizon.documentation.ird.fr/exl-doc/pleins_
textes/divers09–04/010017937.pdf
IRD (1998)-KhronoStat version 1.0. Logiciel, IRD, Montpellier. IRD, (1998)-KhronoStat version
1.0. logiciel, IRD, Montpellier. URL : http://www.hydrosciences.org/spip.php?article239
Jeon J-H, Park C-G, Engel B (2014) Comparison of Performance between Genetic Algorithm and
SCE-UA for Calibration of SCS-CN Surface Runoff Simulation. Water 6(11):3433–3456. https://
doi.org/10.3390/w6113433
Kan G, Liang K, Li J, Ding L, He X, Hu Y, Amo-Boateng M (2016) Accelerating the SCE-UA
Global Optimization Method Based on Multi-Core CPU and Many-Core GPU. Advances in
Meteorology 2016:1–10. https://doi.org/10.1155/2016/8483728
Legates DR, McCabe GJ (1999) Evaluating the use of “goodness-of-fit” Measures in hydrologic
and hydroclimatic model validation. Water Resour Res 35(1):233–241. https://doi.org/10.1029/
1998wr900018
Lebel T, Ali A (2009) Recent trends in the Central and Western Sahel rainfall regime (1990–2007).
J Hydrol 375(1–2):52–64. https://doi.org/10.1016/j.jhydrol.2008.11.030
Liu JS (2001) Monte Carlo Strategies in Scientic Computing. Springer Verlag, New-York, p 343p
Liu Y (2009) Automatic calibration of a rainfall–runoff model using a fast and elitist multi-objective
particle swarm algorithm. Expert Syst Appl 36(5):9533–9538. https://doi.org/10.1016/j.eswa.
2008.10.086
Lujano Laura E, Sosa Sarmiento JD, Lujano Laura A, Lujano Laura R (2016) Modelación
hidrológica semidistribuida en la región hidrográfica del Titicaca: caso de estudio cuenca del
río Ramis, Perú. Revista de Investigaciones Altoandinas - Journal of High Andean Research
18(4):431. https://doi.org/10.18271/ria.2016.235
MAREGA O. (2016), Changements socio-environnementaux et évolution des pratiques agropastorales en Afrique sahélienne : étude comparée entre le Ferlo (Sénégal), le Gourma (Mali) et le
Fakara (Niger) » , thèse de doctorat, Université Diderot-Paris 7, 700 p
Mbaye ML, Haensler A, Hagemann S, Gaye AT, Moseley C, Afouda A (2015) Impact of statistical
bias correction on the projected climate change signals of the regional climate model REMO over
the Senegal River Basin. Int J Climatol 36(4):2035–2049. https://doi.org/10.1002/joc.4478
Mbaye, M. L., Diatta, S., & Gaye, A. T. (2018). Climate Change Signals Over Senegal River
Basin Using Regional Climate Models of the CORDEX Africa Simulations. Lecture Notes of
the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
123–132
Michelangeli P-A, Vrac M, Loukos H (2009) Probabilistic downscaling approaches: application to
wind cumulative distribution functions. Geophys Res Lett 36:L11708. https://doi.org/10.1029/
2009GL038401
MUTTIL, N., & LIONG, S.-Y. (2004). ARE COMPLEXES IN SCE-UA NECESSARY? Hydroinformatics, 874–881
Nelder JA, Mead R (1965) A Simplex Method for Function Minimization. Comput J 7(4):308–313.
https://doi.org/10.1093/comjnl/7.4.308
I. Thiaw et al.
Gilks WR, Roberts GO, Sahu SK (1998) Adaptive Markov Chain Monte Carlo through Regeneration. Journal of the American Statistical Association 93(443):1045. https://doi.org/10.2307/266
9848
Giorgi, F. Jones, C. & Asrar G.R (2009). Addressing climate information needs at the regional level:
the CORDEX framework. WMO Bull., 58 (3) (2009), pp. 175–183
Guo L-Y, Gao Q, Jiang Z-H, Li L (2018) Bias correction and projection of surface air temperature in
LMDZ multiple simulation over central and eastern China. Advances in Climate Change Research
9(1):81–92. https://doi.org/10.1016/j.accre.2018.02.003
Gupta, H. V., Bastidas, L. A., Vrugt, J. A., & Sorooshian, S. (2003). Multiple criteria global
optimization for watershed model calibration. Calibration of Watershed Models, 125–132
Grouillet B, Ruelland D, Ayar PV, Vrac M (2016) Sensitivity analysis of runoff modeling to statistical
downscaling models in the western Mediterranean. Hydrol Earth Syst Sci 20:1031–1047
Hubert P., Servat E., Paturel J-E., Kouamé B., Bendjoudi H., Carbonnel J-P., et Lubes-Niel H., 1998.
La procédure de Segmentation, 10 ans après. http://horizon.documentation.ird.fr/exl-doc/pleins_
textes/divers09–04/010017937.pdf
IRD (1998)-KhronoStat version 1.0. Logiciel, IRD, Montpellier. IRD, (1998)-KhronoStat version
1.0. logiciel, IRD, Montpellier. URL : http://www.hydrosciences.org/spip.php?article239
Jeon J-H, Park C-G, Engel B (2014) Comparison of Performance between Genetic Algorithm and
SCE-UA for Calibration of SCS-CN Surface Runoff Simulation. Water 6(11):3433–3456. https://
doi.org/10.3390/w6113433
Kan G, Liang K, Li J, Ding L, He X, Hu Y, Amo-Boateng M (2016) Accelerating the SCE-UA
Global Optimization Method Based on Multi-Core CPU and Many-Core GPU. Advances in
Meteorology 2016:1–10. https://doi.org/10.1155/2016/8483728
Legates DR, McCabe GJ (1999) Evaluating the use of “goodness-of-fit” Measures in hydrologic
and hydroclimatic model validation. Water Resour Res 35(1):233–241. https://doi.org/10.1029/
1998wr900018
Lebel T, Ali A (2009) Recent trends in the Central and Western Sahel rainfall regime (1990–2007).
J Hydrol 375(1–2):52–64. https://doi.org/10.1016/j.jhydrol.2008.11.030
Liu JS (2001) Monte Carlo Strategies in Scientic Computing. Springer Verlag, New-York, p 343p
Liu Y (2009) Automatic calibration of a rainfall–runoff model using a fast and elitist multi-objective
particle swarm algorithm. Expert Syst Appl 36(5):9533–9538. https://doi.org/10.1016/j.eswa.
2008.10.086
Lujano Laura E, Sosa Sarmiento JD, Lujano Laura A, Lujano Laura R (2016) Modelación
hidrológica semidistribuida en la región hidrográfica del Titicaca: caso de estudio cuenca del
río Ramis, Perú. Revista de Investigaciones Altoandinas - Journal of High Andean Research
18(4):431. https://doi.org/10.18271/ria.2016.235
MAREGA O. (2016), Changements socio-environnementaux et évolution des pratiques agropastorales en Afrique sahélienne : étude comparée entre le Ferlo (Sénégal), le Gourma (Mali) et le
Fakara (Niger) » , thèse de doctorat, Université Diderot-Paris 7, 700 p
Mbaye ML, Haensler A, Hagemann S, Gaye AT, Moseley C, Afouda A (2015) Impact of statistical
bias correction on the projected climate change signals of the regional climate model REMO over
the Senegal River Basin. Int J Climatol 36(4):2035–2049. https://doi.org/10.1002/joc.4478
Mbaye, M. L., Diatta, S., & Gaye, A. T. (2018). Climate Change Signals Over Senegal River
Basin Using Regional Climate Models of the CORDEX Africa Simulations. Lecture Notes of
the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
123–132
Michelangeli P-A, Vrac M, Loukos H (2009) Probabilistic downscaling approaches: application to
wind cumulative distribution functions. Geophys Res Lett 36:L11708. https://doi.org/10.1029/
2009GL038401
MUTTIL, N., & LIONG, S.-Y. (2004). ARE COMPLEXES IN SCE-UA NECESSARY? Hydroinformatics, 874–881
Nelder JA, Mead R (1965) A Simplex Method for Function Minimization. Comput J 7(4):308–313.
https://doi.org/10.1093/comjnl/7.4.308