CMIP6 ScenarioMIP CAMS CAMS-CSM1-0 ssp126 r2i1p1f1 Lmon mrro gn v20190924

Rong, Xinyao

Dataset
Summary
[ 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.CAMS.CAMS-CSM1-0.ssp126' 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 CAMS-CSM 1.0 climate model, released in 2016, includes the following components: atmos: ECHAM5_CAMS (T106; 320 x 160 longitude/latitude; 31 levels; top level 10 mb), land: CoLM 1.0, ocean: MOM4 (tripolar; 360 x 200 longitude/latitude, primarily 1deg latitude/longitude, down to 1/3deg within 30deg of the equatorial tropics; 50 levels; top grid cell 0-10 m), seaIce: SIS 1.0. The model was run by the Chinese Academy of Meteorological Sciences, Beijing 100081, China (CAMS) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.
Project
IPCC-AR6_CMIP6 (Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
2015-01-16 to 2099-12-16 (gregorian)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Access constraints
registered users
Size
199.27 MiB (208946044 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-09-24
Download Permission
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Cite as
[ Derived from parent entry - See data hierarchy tab ]
Rong, Xinyao (2023). IPCC DDC: CAMS CAMS-CSM1.0 model output prepared for CMIP6 ScenarioMIP ssp126. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6SPCAMCC0s126

BibTeX RIS
VariableCodeAggregationUnit
runoff_fluxCF
mrro (IPCC_DDC_AR6: 593)
monkg m-2 s-1

Is source of

[1] IPCC. (2023). Figure 8.18 | Projected long-term relative changes in seasonal mean runoff. In IPCC, 2023: Chapter 8. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-8/figure-8-18
[2] IPCC. (2023). Figure 8.26 | Rate of change in basin-scale annual mean runoff with increasing global warming levels. In IPCC, 2023: Chapter 8. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-8/figure-8-26
[3] DOI Sénési, S. (2023). Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.18 (v20220718). doi:10.5285/caf598e54c674d219f2e245df32dbc1a
[4] DOI Sénési, S. (2023). Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.26 (v20220718). doi:10.5285/ef3dd7efa4f442b2812c4ee905f794c2
[5] IPCC. (2023). Code for Figure 8.18 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-8
[6] IPCC. (2023). Code for Figure 8.26 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-8
[7] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343
[8] DOI Sénési, Stéphane. (2021). IPCC WGI AR6 Chapter 8. doi:10.5281/zenodo.5217343

Parent

CMIP6 ScenarioMIP CAMS CAMS-CSM1-0 ssp126
Details
[Entry acronym: C6SPCAMCC0s126r2111Lmrgn90924] [Entry id: 3920578]