298
I. Thiaw et al.
Fig. 18 Evolution of characteristic flow rates (DCC et DCE) by 2050 under the RCP4.5 scenario
RCP4.5 and RCP8.5 scenarios) for the different RCM, compared to the reference
period 1961–2012.
The simulation results project a reduction of 9% (GFDL-ESM2G model) to 59%
(INM-CM4 model) of the maximum daily flow rates (DMAX) under the RCP4.5
scenario. Only the IPSL-CM5A-LR model forecasts a slight increase of 7%. The
RCP4.5 multi-model set (average of the three RCM) predicts a 15% and 14%
decrease in peak flow achieved or exceeded for 10 days (DCC_10j), 14% for 20 days
(DCC_20j), 16% for one month (DC1), 20% for two months (DC2) and 7% for three
I. Thiaw et al.
Fig. 18 Evolution of characteristic flow rates (DCC et DCE) by 2050 under the RCP4.5 scenario
RCP4.5 and RCP8.5 scenarios) for the different RCM, compared to the reference
period 1961–2012.
The simulation results project a reduction of 9% (GFDL-ESM2G model) to 59%
(INM-CM4 model) of the maximum daily flow rates (DMAX) under the RCP4.5
scenario. Only the IPSL-CM5A-LR model forecasts a slight increase of 7%. The
RCP4.5 multi-model set (average of the three RCM) predicts a 15% and 14%
decrease in peak flow achieved or exceeded for 10 days (DCC_10j), 14% for 20 days
(DCC_20j), 16% for one month (DC1), 20% for two months (DC2) and 7% for three