Statistical Downscaling through Empirical Quantile Mapping for an ensemble of Global Climate Models over Italy

This dataset, SD-EQM_GCMs_IT (Statistical Downscaling through Empirical Quantile Mapping for an ensemble of Global Climate Models over ITaly), provides high-resolution (~5.5 km) climate information specifically tailored to Italy. It consists of statistically downscaled data derived from an ensemble of CMIP6 (Coupled Model Intercomparison Project Phase 6; https://wcrp-cmip.org/cmip6/) Global Circulation Models (GCMs) through the bias-correction technique known as Empirical Quantile Mapping (EQM; e.g., Piani et al., 2010; Lafon et al., 2013), covering the period from 1985 to 2100, for two different scenarios: SSP1-2.6 and SSP3-7.0 (O’Neill et al., 2013). The SD-EQM technique has been applied to the selected CMIP6 GCMs, using as reference the Copernicus European regional reanalysis (CERRA; Schimanke et al., 2021) at ~5.5 km resolution. CERRA has been chosen as a reference dataset in order to reach the highest atmospheric horizontal resolution possible over Italy, using a reanalysis as reference. The dataset offers daily values for key climate variables, including mean, maximum, and minimum temperature, mean surface wind speed, mean relative humidity and accumulated precipitation.

本数据集为SD-EQM_GCMs_IT（针对意大利区域多全球气候模式集合的经验分位数映射统计降尺度方法，Statistical Downscaling through Empirical Quantile Mapping for an ensemble of Global Climate Models over ITaly），专为意大利定制提供分辨率约5.5 km的高分辨率气候数据。该数据集包含经统计降尺度处理的CMIP6（耦合模式比较计划第六阶段，Coupled Model Intercomparison Project Phase 6；https://wcrp-cmip.org/cmip6/）全球环流模式（Global Circulation Models，GCMs）集合数据，采用经验分位数映射（Empirical Quantile Mapping，EQM；如Piani等，2010；Lafon等，2013）这一偏差校正技术完成降尺度，时间覆盖1985年至2100年，包含共享社会经济路径（Shared Socioeconomic Pathways，SSP）1-2.6与SSP3-7.0两种情景（O’Neill等，2013）。研究团队已针对筛选出的CMIP6全球环流模式，采用分辨率约5.5 km的哥白尼欧洲区域再分析数据集（Copernicus European regional reanalysis，CERRA；Schimanke等，2021）作为参考基准，应用SD-EQM方法完成降尺度处理。选择该再分析数据集作为参考，旨在获取意大利区域当前可实现的最高大气水平分辨率数据。本数据集提供关键气候变量的逐日值，包括平均气温、最高气温、最低气温、近地面平均风速、平均相对湿度以及累积降水量。