[ Derived from parent entry - See data hierarchy tab ] These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.NASA-GISS.GISS-E2-1-G.ssp585' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The GISS-E2.1G climate model, released in 2019, includes the following components: aerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p>1 GPUCCINI), land: GISS LSM, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: GISS SI. The model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km.
[ Derived from parent entry - See data hierarchy tab ]
NASA Goddard Institute for Space Studies (NASA/GISS) (2023). IPCC DDC: NASA-GISS GISS-E2.1G model output prepared for CMIP6 ScenarioMIP ssp585. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6SPGIGEGs585
[2] IPCC. (2023). Table 8.1 | Global and global land annual mean water cycle projections in the mid-term (2041–2060) and long term (2081–2100) relative to present day
(1995–2014), showing present day mean and 90% confidence range across CMIP6 models (historical experiment) and projected mean changes and the
90% confidence range across the same set of models and a range of Shared Socio-economic Pathway scenarios. In IPCC, 2023: Chapter 8. https://www.ipcc.ch/report/ar6/wg1/chapter/chapter-8/#8.4.1.1
[4] DOIWeigel, K.; Santer, B.; Kazeroni, R.; Bock, L. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.12 (v20211001). doi:10.5285/7273023a04d24da58ec5d83343cd861d