Supporting data for Projecting Global Mean Sea-Level Change Using CMIP6 Models
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
Datacite citation style:
Hermans, Tim; Gregory, Jonathan; Palmer, M.D. (Matthew); Ringer, Mark; Katsman, C.A. (Caroline) et. al. (2021): Supporting data for Projecting Global Mean Sea-Level Change Using CMIP6 Models. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/12958079.v1Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
This datasat accompanies the manuscript Projecting Global Mean Sea-Level Change Using CMIP6 Models by Hermans et al. (2021).
The dataset contains the effective climate sensitivity (EffCS), the transient climate response (TCR) and the simulations of global mean thermal expansion (GTE; drift-corrected) and global mean surface air temperature (GSAT) for the CMIP6 models considered, for three different emissions scenarios: SSP126, SSP245 and SSP585 (1850-2100 referenced to 1986-2005). It also contains the Monte Carlo global mean sea level (GMSL) projections derived from these simulations as explained in the manuscript (2007-2100).
- 2021-01-25 first online, published, posted
formatNetCDF & plain text
- Met Office Hadley Centre Climate Programme funded by the BEIS and Defra, UK
organizationsNIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine & Delta Systems, and Utrecht University;
Delft University of Technology, Department of Geoscience and Remote Sensing & Department of Hydraulic Engineering;
Met Office Hadley Centre; National Centre for Atmospheric Science