1000-member ensemble simulation output from NIES Chemistry-Climate Models for investigating Southern Hemisphere Stratospheric response to the sea surface temperature

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The response of the southern hemisphere stratosphere to the ocean-surface conditions in 2002 and 2019, when exceptional sudden stratospheric warming (SSW) events occurred, were examined through 1010-year continuous Chemistry-Climate Model (CCM) runs. In comparison, the experiments with 2000 climate conditions and 2019 atmospheric nudging were performed. The datasets include zonal wind, temperature, and total ozone outputs with calculated EP flux data in these simulations. Data from the last 1000 years of the 1010-year calculation are stored as a 1000-member ensemble.

Description

Creator
Release date
2022/12/15
Temporal coverage
2011/01/01 - 3010/12/31
Data provider
NIES
Email: cgerdb_admin(at)nies.go.jp
DOI
File format
Data volume
67.8 GB
Version
ver.1.1.0 (Last updated: 2023/10/18)
Language
English

Data Set

Parameters
Zonal wind, Temperature, Upward EP flux, Total ozone
Domain
Global
Time resolution
1 day
Horizontal resolution
Latitudinal 2.8°(T42, zonal mean)
Vertical resolution
1–3 km
Calculation method
Chemistry-climate model (CCSRNIES-MIROC32) is a spectral model with a resolution of T42 (2.8° × 2.8°) in horizontally and 1-3 km in vertically with 34 eta Levels (top level 0.01hPa). The reference experiment (CNTL) was conducted under the year 2000 climate conditions, with the surface concentrations of greenhouse gases (GHGs) and ozone-depleting substances (ODSs) being fixed at the 2000 mean values. The sea surface temperatures (SST) and sea-ice distributions were prescribed by the calendar-month 1991–2020 climatology, calculated from the monthly mean NOAA OI SST V2. The reference experiment with the calendar-month 1995–2004 climatology (CNTL_1995-2004) was also conducted. In the 2002 experiment (E2002), the monthly mean SST and sea ice of 2002 were prescribed in every year; in the 2019 experiment (E2019), the SST and sea ice data were those of 2019. E2019Trop was conducted by nudging the zonal and meridional winds between 300 hPa and 1000hPa of the Japanese 55-year Reanalysis (JRA-55) dataset.
How to use
  • The file name "CCSRNIES-MIROC32_xxx_yyy_gnz_ver.1.0.0.nc" indicates NetCDF file with experiment name “xxx” and parameter name “yyy”. The experiment names are CNTL, E2002, E2019, and E2019Trop. The parameter names are listed below.
    • ua: Zonal wind (m s-1)
    • ta: Temperature (K)
    • epfz: Upward component of EP flux (kg m-1 s-2)
    • epfzwn1: Upward component of EP flux for wavenumber 1 (kg m-1 s-2)
    • epfzwn2: Upward component of EP flux for wavenumber 2 (kg m-1 s-2)
  • The file name "CCSRNIES-MIROC32_xxx_yyy_gnz_ver.1.0.0.nc" indicates NASA Ames Format 1001 file with experiment name “xxx”. The zonal wind, temperature, and total ozone of model outputs with calculated EP flux data were extracted and spatially averaged.
Keywords
[Free keywords]
   Antarctic polar vortex, Ozone, Zonal wind, Temperature, CCM,
   Multi-ensemble experiment
[GCMD_Platform]
 Other > Models > Climate Models
[GCMD_Science]
 Atmosphere > Atmospheric Temperature
 Atmosphere > Atmospheric Winds
 Atmosphere > Atmospheric Chemistry > Oxygen Compounds > Atmospheric    Ozone
Update history
[2023/10/18]
Version 1.1.0 was released (ver.1.1.0), which includes a new reference experiment (CNTL). The previous CNTL was renamed to CNTL_1995-2004
[2022/12/15]
Version 1.0.0 was released (ver.1.0.0)

Reference Information

References
Y. Yamashita, H. Akiyoshi, M. Inoue (2023), The role of sea-surface conditions in Southern-Hemisphere polar vortex strength and associated wave forcing revealed by a multi-member ensemble simulation with the chemistry–climate model, SOLA, 19B, 9-12, doi:10.2151/sola.19B-002.
Grant Agency
JSPS KAKENHI
Grant Number
JP20K12155 and JP20H01977

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Y. Yamashita, H. Akiyoshi, M. Inoue(2022), 1000-member ensemble simulation output from NIES Chemistry-Climate Models for investigating Southern Hemisphere Stratospheric response to the sea surface temperature,ver.x.x.x *1, Earth System Division, NIES, DOI:10.17595/20221215.001. (Reference date*2: YYYY/MM/DD)
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