一个高分辨率的降尺度CMIP5预测数据集，包含全球基本地表气候变量，与ERA5再分析数据一致，用于气候变化影响评估。

A high-resolution downscaled CMIP5 projections dataset of essential surface climate variables over the globe coherent with the ERA5 reanalysis for climate change impact assessments.

作者信息

Noël Thomas, Loukos Harilaos, Defrance Dimitri, Vrac Mathieu, Levavasseur Guillaume

机构信息

The Climate Data Factory, Paris, France.

Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), CEA/CNRS/UVSQ, Université Paris-Saclay Centre d'Etudes de Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette, France.

出版信息

Data Brief. 2021 Feb 21;35:106900. doi: 10.1016/j.dib.2021.106900. eCollection 2021 Apr.

DOI:10.1016/j.dib.2021.106900

PMID:33748359

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7960934/

Abstract

A high-resolution climate projections dataset is obtained by statistically downscaling climate projections from the CMIP5 experiment using the ERA5 reanalysis from the Copernicus Climate Change Service. This global dataset has a spatial resolution of 0.25°x 0.25°, comprises 21 climate models and includes 5 surface daily variables at monthly resolution: air temperature (mean, minimum, and maximum), precipitation, and mean near-surface wind speed. Two greenhouse gas emissions scenarios are available: one with mitigation policy (RCP4.5) and one without mitigation (RCP8.5). The downscaling method is a Quantile Mapping method (QM) called the Cumulative Distribution Function transform (CDF-t) method that was first used for wind values and is now referenced in dozens of peer-reviewed publications. The data processing includes quality control of metadata according to the climate modeling community standards and value checking for outlier detection.

摘要

通过使用哥白尼气候变化服务中心的ERA5再分析数据，对CMIP5实验的气候预测进行统计降尺度处理，获得了一个高分辨率气候预测数据集。这个全球数据集的空间分辨率为0.25°x 0.25°，包含21个气候模型，并包括月分辨率的5个地面日变量：气温（平均、最低和最高）、降水量和近地面平均风速。有两种温室气体排放情景可供选择：一种是有缓解政策的情景（RCP4.5），另一种是没有缓解措施的情景（RCP8.5）。降尺度方法是一种分位数映射方法（QM），称为累积分布函数变换（CDF-t）方法，该方法最初用于风速值，现在已在数十篇同行评审的出版物中被引用。数据处理包括根据气候建模社区标准对元数据进行质量控制，以及进行值检查以检测异常值。