DOI for 'CMIP6.HighResMIP.MRI.MRI-AGCM3-2-S.highresSST-present'


Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets.
These data include all datasets published for 'CMIP6.HighResMIP.MRI.MRI-AGCM3-2-S.highresSST-present' 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 MRI-AGCM3-2-S climate model, released in 2017, includes the following components:
aerosol: Prescribed from MRI-ESM2.0, atmos: MRI-AGCM3.2S (TL959; 1920 x 960 longitude/latitude; 64 levels; top level 0.01 hPa), land: SIB0109.
The model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, atmos: 25 km, land: 25 km.

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
CMIP6.HighResMIP.MRI.MRI-AGCM3-2-S.highresSST-present (DRS: http://github.com/WCRP-CMIP/CMIP6_CVs)
Creative Commons Attribution 4.0 International License (CC BY 4.0)
CMIP6 model data is evolving, new versions are added when datasets are changed or additions are made. Cite this data collection according to the Data Citation Guidelines (http://bit.ly/2gBCuqM) and be sure to include the version number (e.g. v20210101). Individuals using the data must abide by terms of use for CMIP6 data (https://pcmdi.llnl.gov/CMIP6/TermsOfUse). The original license restrictions on these datasets were recorded as global attributes in the data files, but these may have been subsequently updated. - Here is the history of licenses governing these datasets: 2019-07-11: initially published under CC BY-SA 4.0; 2022-08-07: relaxed to CC BY 4.0
Mizuta, Ryo
Cite as
Mizuta, Ryo; Yoshimura, Hiromasa; Ose, Tomoaki; Hosaka, Masahiro; Yukimoto, Seiji (2019). MRI MRI-AGCM3-2-S model output prepared for CMIP6 HighResMIP highresSST-present. Version YYYYMMDD[1].Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6942

[1] Please use the latest dataset version or if not available the latest data download date as version in your data citation.

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Related Data

MRI MRI-AGCM3-2-S model output prepared for CMIP6 HighResMIP

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1Mizuta, Ryo-Meteorological Research Institute
2Yoshimura, Hiromasa-Meteorological Research Institute
3Ose, Tomoaki-Meteorological Research Institute
4Hosaka, Masahiro-Meteorological Research Institute
5Yukimoto, Seiji-Meteorological Research Institute
IsReferencedBy  Bias Correction and Trend Analysis of Temperature Data by a High-Resolution CMIP6 Model over a Tropical River Basin. Jose, Dinu Maria; Dwarakish, Gowdagere Siddaramaiah. DOI:10.1007/s13143-021-00240-7
IsReferencedBy  Frequency-intensity-distribution bias correction and trend analysis of high-resolution CMIP6 precipitation data over a tropical river basin. Jose, Dinu Maria; Dwarakish, G. S.. DOI:10.1007/s00704-022-04078-5