Dataset
CCMI-2022: refD2 data produced by the MIROC-ES2H model from MIROC
Abstract
This dataset contains model data for CCMI-2022 experiment refD2 produced by the MIROC-ES2H model which is based on a global climate model MIROC (Model for Interdisciplinary Research on Climate). This has been cooperatively developed by JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan).
The refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).
SSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.
WMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.
The CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.
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Sources of additional information
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The following web links are provided in the Details/Docs section of this catalogue record:
- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)
- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30
Details
Previous Info: |
No news update for this record
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Previously used record identifiers: |
No related previous identifiers.
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Access rules: |
Restricted data: please submit an application using the REQUEST ACCESS link for access.
Use of these data is covered by the following licence(s): https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
Data lineage: |
Data were produced by scientists from a collaboration of JAMSTEC, AORI, NIES, and R-CCS and published by the Centre for Environmental Data Analysis (CEDA). |
Data Quality: |
Data are as given by the data provider, ceda-cc quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
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File Format: |
Files are Net-CDF formatted
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Related Documents
Process overview
Title | MIROC-ES2H model based on a global climate model MIROC (Model for Interdisciplinary Research on Climate) which has been cooperatively developed by JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan). |
Abstract | MIROC-ES2H model based on a global climate model MIROC (Model for Interdisciplinary Research on Climate) which has been cooperatively developed by JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan). |
Input Description | None |
Output Description | None |
Software Reference | None |
- units: K
- standard_name: air_temperature
- var_id: ta
- long_name: Air Temperature
- units: K
- standard_name: air_temperature
- var_id: ta100
- long_name: Air Temperature at 100hPa
- units: K
- standard_name: air_temperature
- var_id: ta10
- long_name: Air Temperature at 10hPa
- units: K
- standard_name: air_temperature
- var_id: ta500
- long_name: Air Temperature at 500hPa
- units: K
- standard_name: air_temperature
- var_id: ta50
- long_name: Air Temperature at 50hPa
- var_id: bro
- standard_name: mole_fraction_of_bromine_monoxide_in_air
- long_name: BrO Volume Mixing Ratio
- units: mol mol-1
- units: K
- standard_name: air_temperature
- var_id: tasmin
- long_name: Daily Minimum Near-Surface Air Temperature
- units: m s-1
- standard_name: eastward_wind
- var_id: ua1000
- long_name: Eastward Wind at 1000hPa
- units: m s-1
- standard_name: eastward_wind
- var_id: ua100
- long_name: Eastward Wind at 100hPa
- units: m s-1
- standard_name: eastward_wind
- var_id: ua500
- long_name: Eastward Wind at 500hPa
- units: m s-1
- standard_name: eastward_wind
- long_name: Eastward Wind at 50hPa
- var_id: ua50
- units: m
- standard_name: geopotential_height
- var_id: zg
- long_name: Geopotential Height
- units: m
- standard_name: geopotential_height
- var_id: zg1000
- long_name: Geopotential Height at 1000hPa
- units: m
- standard_name: geopotential_height
- var_id: zg100
- long_name: Geopotential Height at 100hPa
- units: m
- standard_name: geopotential_height
- var_id: zg10
- long_name: Geopotential Height at 10hPa
- units: m
- standard_name: geopotential_height
- var_id: zg500
- long_name: Geopotential Height at 500hPa
- units: K
- standard_name: air_temperature
- var_id: tas
- long_name: Near-Surface Air Temperature
- units: m s-1
- standard_name: northward_wind
- var_id: va1000
- long_name: Northward Wind at 1000hPa
- units: m s-1
- standard_name: northward_wind
- var_id: va100
- long_name: Northward Wind at 100hPa
- units: m s-1
- standard_name: northward_wind
- var_id: va500
- long_name: Northward Wind at 500hPa
- units: K
- standard_name: air_potential_temperature
- var_id: theta
- long_name: Potential Temperature
- units: K m2 kg-1 s-1
- standard_name: ertel_potential_vorticity
- long_name: Potential Vorticity on 840K
- var_id: vorpot840
- units: Pa
- standard_name: surface_air_pressure
- var_id: ps
- long_name: Surface Air Pressure
- units: W m-2
- standard_name: surface_downwelling_shortwave_flux_in_air
- var_id: rsds
- long_name: Surface Downwelling Shortwave Radiation
- units: %
- standard_name: cloud_area_fraction
- var_id: clt
- long_name: Total Cloud Cover Percentage
- units: m
- var_id: toz
- long_name: Total Column Ozone
- standard_name: equivalent_thickness_at_stp_of_atmosphere_ozone_content
- units: m
- standard_name: height
- var_id: height
- long_name: height
- var_id: lat_bnds
- var_id: lon_bnds
- units: Pa
- standard_name: air_pressure
- long_name: pressure
- var_id: plev
- var_id: time_bnds
Co-ordinate Variables
- units: degrees_north
- standard_name: latitude
- var_id: lat
- long_name: Latitude
- units: degrees_east
- standard_name: longitude
- var_id: lon
- long_name: Longitude
- long_name: time
- standard_name: time
- var_id: time
- units: days
Temporal Range
1960-01-01T00:00:00
2101-01-01T00:00:00
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |