Dataset for "Projected Changes in Heat, Extreme Precipitation, and Their Spatially Compound Events over China’s Coastal Lands and Seas through a High-Resolution Climate Models Ensemble"
Description
This dataset from the article of "Projected Changes in Heat, Extreme Precipitation, and Their Spatially Compound Events over China’s Coastal Lands and Seas through a High-Resolution Climate Models Ensemble", abstract of the article is shown below. China’s coastal lands and seas are highly susceptible to the changing environment due to their dense population and frequent economic activities. These areas experience more significant impacts from climate change-induced extreme events than elsewhere. The most noticeable effects of climate change are extreme high temperatures and extreme precipitation. The multi-model ensemble projects that daily temperature extremes will increase by 2.9°C to 5.4°C across China’s coastal lands and seas, with land areas showing a higher temperature increase than marine areas. Extreme precipitation shows a high geographical heterogeneity with a 2.8-3.9mm/d reduction over the 15-25°N marine areas while a 2.2-5.4mm/d increment over the 25°N-35°N land areas. We use the Clausius-Clapeyron relationship to reveal that the peak of daily extreme precipitation will increase by 2-7mm/d and the temperature at which extreme precipitation peaks will increase by 2°C to 6°C by warming. The land area of 25-30°N has the highest peak precipitation increase of 9.87mm/d and a peak temperature increase of 6°C. As precipitation extremes intensify with daily temperature extremes increase, CHPEs are projected to occur more frequently over both land and marine areas. Compared with the historical period, the frequency of CHPEs will increase by 40.9%-161.2% over marine areas, and by 36.2%-163.6% over land areas in the future. The 15-20°N area has the highest frequency increase of CHPE events, and the 25-30°N area has the largest difference in frequency increase under two different scenarios. It indicated that the 25-30°N area will be more easily affected by climate change. Keywords: Climate model ensemble; High-resolution projection; China’s coastal lands and seas; Compound Heat-Precipitation Extreme Events
Files
Steps to reproduce
Original datasets are from CORDEX (CMIP5 EAS-44 RCMs) and CDS (ERA-5). CDO and SPSS are used for data analysis. Most of our figures are made by NCL, part of our figures are made by Origin. Methods are listed in the article "Projected Changes in Heat, Extreme Precipitation, and Their Spatially Compound Events over China’s Coastal Lands and Seas through a High-Resolution Climate Models Ensemble" . More details are listed in the txt files in the dataset.