A 10-km CMIP6 downscaled dataset of temperature and precipitation for historical and future Vietnam climate

High-resolution climate projections are mandatory for many applications and impact assessments in environmental and management studies. In response to the needs in Vietnam, this study constructs a new precipitation and temperature daily dataset for Vietnam, at a high spatial resolution of 0.1 degrees x 0.1 degrees, based on the outputs of 35 global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The Bias Correction and Spatial Disaggregation (BCSD) method is adopted to bias-correct monthly GCM simulations using observation data, then subsequently temporally disaggregate them into daily data. The new dataset is called CMIP6-VN, covering the present-time period 1980-2014 and future projections for 2015-2099 from both CMIP6 tier-1 (Shared Socioeconomic Pathways (SSPs) 1-1.26, 2-4.5, 3-7.0, and 5-8.5) and tier-2 (SSPs 1-1.9, 4-3.4, 4-6.0) experiments. Results indicated the good performance of CMIP6-VN for the historical period, suggesting that the dataset could be used for studies on climate change assessment and impacts in Vietnam.

Automated summary

In response to the needs in Vietnam, this study constructs a new high-resolution dataset for precipitation and temperature, using outputs from 35 global climate models. The dataset, CMIP6-VN, covers the historical period from 1980 to 2014 and future projections from 2015 to 2099. Results showed the good performance of CMIP6-VN, suggesting its usefulness for climate change assessments and impact studies in Vietnam.