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Title: A high-resolution projected climate dataset for Vietnam: Construction and preliminary application in assessing future change
Authors: Quan, Tran Anh
Espagnec, Etienne
Keywords: Bias correction
Climate downscaling
Coupled Model Intercomparison Project Phase 5 (CMIP5)
Spatial disaggregation
Issue Date: 2022
Series/Report no.: Journal of Water and Climate Change;pp. 1 - 14
Abstract: This study generates a daily temperature and precipitation dataset over Vietnam at a high resolution of 0.1° for the historical period 1980– 2005 and the future period 2006–2100 under four representative concentration pathway (RCP) scenarios, namely RCP2.6, RCP4.5, RCP6.0, and RCP8.5. The bias correction (BC) and spatial disaggregation (SD) method is applied to the outputs of 31 global climate models (GCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) to create the new dataset called CMIP5-VN. To guide the BC and SD steps, gridded temperature and precipitation data interpolated from daily observations of 147 and 481 stations respectively are used. Results with the CMIP5-VN show that warming over Vietnam is projected to continue till the end of the 21st century under all four RCPs. The average temperature is projected to increase by 1.3+0.52 °C under RCP2.6 and by 3.85+0.85 °C under RCP8.5 between 2080–2099 and 1986–2005. The future increase is more intense in the northern regions than in the south and higher in summer than in winter. Precipitation is projected to increase by 1.16+7.1% under RCP2.6 and by 4.41+9.2% under RCP8.5. In Central Vietnam, there is a consistent rainfall increase in the future rainy season.
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