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

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

doi:10.1016/j.dib.2022.108669

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

Data Brief. 2022 Oct 12:45:108669. doi: 10.1016/j.dib.2022.108669. eCollection 2022 Dec.

Authors

Thomas Noël¹, Harilaos Loukos¹, Dimitri Defrance¹, Mathieu Vrac², Guillaume Levavasseur³

Affiliations

¹ The Climate Data Factory, Paris, France.
² 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, Gif-sur-Yvette 91191, France.
³ Institut Pierre Simon Laplace, SU/CNRS, Paris, France.

Abstract

This paper describes the extension of the previously CMIP5 based high-resolution climate projections with additional ones based on the more recent climate projections from the CMIP6 experiment. The downscaling method and data processing are the same but the reference dataset is now the ERA5-Land reanalysis (compared to ERA5 previously) allowing to increase the resolution of the new downscaled projections from 0.25° x 0.25° to 0.1°x 0.1°. The extension comprises 5 climate models and includes 2 surface variables at daily resolution: air temperature and precipitation. Three greenhouse gas emissions scenarios are available: Shared Socioeconomic Pathways with mitigation policy (SSP1-2.6), an intermediate one (SSP2-4.5), and one without mitigation (SSP5-8.5).

Keywords: Adaptation; CMIP6; Climate change; Downscaling; ERA5-Land; High-resolution; Impact modeling; Projections.