Extending the global high-resolution downscaled projections dataset to include CMIP6 projections at increased resolution coherent with the ERA5-Land reanalysis

被引:13
|
作者
Noel, Thomas [1 ]
Loukos, Harilaos [1 ]
Defrance, Dimitri [1 ]
Vrac, Mathieu [2 ]
Levavasseur, Guillaume [3 ]
机构
[1] Climate Data Factory, Paris, France
[2] Univ Paris Saclay, Ctr Etud Saclay, Lab Sci Climat & Environm LSCE IPSL, CEA,CNRS,UVSQ, F-91191 Gif Sur Yvette, France
[3] SU, Inst Pierre Simon Laplace, CNRS, Paris, France
来源
DATA IN BRIEF | 2022年 / 45卷
关键词
High-resolution; Projections; CMIP6; ERA5-Land; Downscaling; Climate change; Adaptation; Impact modeling; BIAS;
D O I
10.1016/j.dib.2022.108669
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper describes the extension of the previously CMIP5 based high-resolution climate projections with ad-ditional ones based on the more recent climate pro-jections from the CMIP6 experiment. The downscaling method and data processing are the same but the ref-erence dataset is now the ERA5-Land reanalysis (com-pared to ERA5 previously) allowing to increase the res-olution of the new downscaled projections from 0.25 degrees x 0.25 degrees to 0.1 degrees x 0.1 degrees. The extension comprises 5 climate models and includes 2 surface variables at daily resolu-tion: air temperature and precipitation. Three greenhouse gas emissions scenarios are available: Shared Socioeconomic Pathways with mitigation policy (SSP1-2.6), an inter-mediate one (SSP2-4.5), and one without mitigation (SSP5-8.5).(c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
引用
收藏
页数:10
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