Bias-corrected CMIP6 global dataset for dynamical downscaling of the Earth’s historical and future climate (1979–2100)

The bias-corrected CMIP6 global dataset for dynamical downscaling of the Earth’s historical and future climate (1979–2100) is now available. This dataset provides high-quality large-scale forcing for dynamical downscaling simulations and will improve the reliability of future projections of the regional climate and environment. The dataset contains the historical simulations over 1979-2014 and future scenarios of SSP245 and SSP585 over 2015-2100 with the corrections applied. This data set will be useful for dynamical downscaling projections of the Earth's future climate, atmospheric environment, hydrology, agriculture, wind power, etc.

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Dynamical downscaling data for the Influence of Global Warming and Urban Anthropogenic Heat on Extreme Precipitation in Urbanized Pearl River Delta Area

The data from the study comparing the impacts of global warming and intense urban anthropogenic heat (AH) on extreme hourly precipitation over the Pearl River Delta (PRD) megacity, China is now available. The datasets were generated using the cloud-resolving Weather Research and Forecasting (WRF) model version 3.8.1 coupled with the single-layer urban canopy model (SLUCM). Boundary conditions were derived from PRD extreme rainfall episodes, identified from the Geophysical Fluid Dynamics Laboratory Earth System Model (GFDL-ESM2M) historical and RCP8.5 runs. The innermost domain with spatial resolution of 2km were archived.

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The above open-access data are distributed under the terms of Creative Commons Attribution 4.0 International License.