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

Abstract

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° × 0.1°, 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.