NASA Earth Exchange Global Daily Projections (NEX-GDDP) data (precipitation and minimum and maximum temperatures) were used as inputs of multi-GCMs of CMIP5 for two RCP scenarios (viz. medium mitigation RCP 4.5 and high emission RCP 8.5) for duration 2006-2100. Macro-scale hydrological Variable Infiltration Capacity (VIC) model was used to simulate the projected changes in seasonal and annual streamflow as affected by changes in precipitation and temperatures in the Logone-Lake Chad river basin. About 13 years of historical monthly and annual streamflow data observed at Bongor station (250 km upstream of basin outlet) were used for calibration and validation of VIC model. The model performance was evaluated using Nash-Sutcliffe Efficiency (NSE) and coefficient of determination (R2). Overall, VIC model showed good prediction accuracy for monthly streamflow during calibration (NSE = 0.77, R2 = 0.88) as well as validation (NSE = 0.62, R2 = 0.82). Preliminary results suggest that basin will experience greater future streamflow in response to increased precipitation. However, the magnitude of increase may be dampened by increased evapotranspiration in response to warmer minimum and maximum temperatures. A greater spatio-temporal variability of precipitation and temperatures will also affect the hydrologic regimes of the basin. Performance of multi-model ensemble mean is being examined in simulating the hydrologic regimes using historical observations. Furthermore, uncertainty associated with individual model projections is being analyzed using skill scores. Results based on a comprehensive analysis of modeled hydrologic regimes of the Logone River-Lake Chad basin will be presented. Changes in streamflow may affect the flooding patterns, which shape the vegetation and fish populations in the floodplain, which directly affect the livelihoods of herders and fishers respectively.