Global fields of meteorological and aerosol data from seven experiments with the NorESM2 model under different warming scenarios

Tuomas Naakka, Annica M. L. Ekman, Anna Lewinschal, Kalle Nordling

This dataset contains modeled basic meteorological variables from NorESM2 simulations with prescribed sea ice cover and sea surface temperatures (SST) in present day climate and in end-of-21st-century climate using shared socioeconomic pathways (SSP) scenarios SSP5-8.5 and SSP1-2.6.

These simulations were designed to improve understanding of the contributions of sea ice cover decrease and SST increase in climate warming, and together with similar experiments with other models to quantify uncertainty associated with atmospheric response to sea ice decrease and SST increase.

The dataset includes global fields of basic meteorological and aerosol variables from seven NorESM2 experiments.

AtmosphereClimate simulationModel simulationNorESM2Sea ice coverSea surface temperatureSSTShared socioeconomic pathwaysSSP

aws s3 --no-sign-request --endpoint-url https://bolin.su.se/data/s3/ cp --recursive s3://data/naakka-2025-noresm2-1 .

Name

Version

Citation

References

Naakka T, Köhler D, Nordling K, Räisänen P, Lund MT, Makkonen R, Merikanto J, Samset BH, Sinclair VA, Thomas JL, Ekman ALM (2024) Polar winter climate change: strong local effects from sea ice loss, widespread consequences from warming seas. EGUsphere [preprint]. https://doi.org/10.5194/egusphere-2024-3458

Data description

The data have been produced with NorESM2 version 2.0.5 using prescribed sea surface temperature and sea ice.

The data consist of seven 40 years experiments, with different SST and sea ice conditions:

• baseline sea ice cover and SST input from historical simulation (years 1950 - 1969)
• future_ssp585 sea ice cover and SST input from ssp585 scenario simulation (years 2080 - 2099)
• seaice_contrib_ssp585 sea ice cover input from ssp585 scenario simulation (years 2080 - 2099) and SST input from historical simulation (years 1950 - 1969)
• SST_contrib_ssp585 sea ice cover input from historical simulation (years 1950 - 1969) and SST input from ssp585 scenario simulation (years 2080 - 2099)
• future_ssp126 sea ice cover and SST input from ssp126 scenario simulation (years 2080 - 2099)
• seaice_contrib_ssp126 sea ice cover input from ssp126 scenario simulation (years 2080 - 2099) and SST input from historical simulation (years 1950 - 1969)
• SST_contrib_ssp126 sea ice cover input from historical simulation (years 1950 - 1969) and SST input from ssp126 scenario simulation (years 2080 - 2099)

The dataset includes:

• 7 single level variables at 6 hourly time resolution
  • TAS 2m temperature (K)
  • PR Precipitation rate (10^3 kg m^-2 s^-1)
  • PSL Mean sea level pressure (Pa)
  • PRW Vertically integrated precipitable water (kg m^-2)
  • LWP Cloud liquid water path (kg m^-2)
  • CLIVI Cloud ice water path (kg m^-2)
• 2 single level variables at daily time resolution
  • HFLS Surface latent heat flux (W m^-2)
  • HFSS Surface sensible heat flux (W m^-2)
• 15 single level variables monthly time resolution
  • RLDSCS Clearsky Downwelling longwave flux at surface (W m^-2)
  • RLDS Downwelling longwave flux at surface (W m^-2)
  • RLUS LW surface upwelling flux (W m^-2)
  • RLUTCS Clearsky upwelling longwave flux top of atmosphere (W m^-2)
  • RLUT Upwelling longwave flux at top of model (W m^-2)
  • RSDSCS Clearsky downwelling solar flux at surface (W m^-2)
  • RSDS Downwelling solar flux at surface (W m^-2)
  • RSDT Downwelling solar flux top of atmosphere (W m^-2)
  • RSUSCS Clearsky upwelling solar flux at surface (W m^-2)
  • RSUS SW upwelling flux at surface (W m^-2)
  • RSUTCS Clearsky upwelling solar flux top of atmosphere (W m^-2)
  • RSUT Upwelling solar flux at top of atmosphere (W m^-2)
  • BC_SURF_FLUX Black carbon surface flux(kg m^-2 s^-1)
  • DST_SURF_FLUX Dust surface flux (kg m^-2 s^-1)
  • SS_SURF_FLUX Sea salt surface flux (kg m^-2 s^-1)
• 8 model level variables at monthly time resolution
  • HUS Specific humidity (kg kg^-1)
  • TA Temperature (K)
  • UA Zonal wind (m s^-1)
  • VA Meridional wind (m s^-1)
  • WAP Vertical velocity (pressure) (Pa s^-1)
  • MMRBC mass mixing ration of black carbon aerosols (kg kg^-1)
  • MMRDUST mass mixing ration of dust aerosols (kg kg^-1)
  • MMRSS mass mixing ration of sea salt aerosols (kg kg^-1)

The dataset is provided in seven compressed (tar.gz) files, one for each experiment.
All data are in NetCDF (nc) files.
Total number of files is 8960 and total size (uncompressed) is 171 GB.
Each file includes 1 variable and 1 year of data.
Data is ordered by experiments and by variable.
Horizontal resolution of data is 2.5x1.9 degree.

3D data has 32 model (hybrid) levels. Pressures (Pa) on level boudaries are defind p = a + b*ps

Comments

.tar.gz files can be extracted using the tar command in the terminal on different operating systems, using the following general syntax: tar -xvzf filename.tar.gz.

Project

CRiceS (Climate Relevant interactions and feedbacks: The key role of sea ice and Snow in the polar and global climate system) funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101003826.

Publisher

Bolin Centre Database

License

First name

Annica

Last name or organisation

Ekman

Email address

annica.ekman@misu.su.se

Address

Department of Meteorology; Stockholm University

Postal code

SE-106 91

City

Stockholm

Country

Sweden

GCMD science keyword

Earth science services > Models

GCMD location

Geographic Region > Global

Dataset language

English

DOI

Time

Versions

• 1 2025-04-01T13:58:06.746292+00:00
• 1 2025-01-28T15:13:24.175829+00:00