This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 

Dataset

 

ICOsahedral Nonhydrostatic global radiative-convective equilibrium model data, with additional diabatic heating perturbations

Latest Data Update: 2021-08-24
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-08-25
DOI Publication Date: 2021-08-26
Download Stats: last 12 months
Dataset Size: 27 Files | 198GB

Abstract

This dataset provides ICOsahedral Nonhydrostatic (ICON) Atmospheric Global Circulation Model (GCM) data for global radiative-convective equilibrium (RCE) 5-year simulations. Data files are provided in NetCDF format.

The RCE simulations are setup on an aquaplanet with no rotation and no diurnal cycle. To initialise the RCE state, homogenised boundary conditions are set where the solar insolation is 551.58 Wm-2 with a fixed zenith angle of 42.05. Together these values give a constant insolation of 409.6 Wm-2. This is equivalent to the annual mean tropical insolation (Wing et al., 2018). A 360-day calendar is used. The global ocean albedo is set to 0.07. Concentrations of tracers CO2, CH4, N2O and O2 are set to be constant in space and time and the O3 profile is the same as used in Popke et al. (2013). SSTs are kept globally constant throughout each simulation at either 290K or 305K. The model spin-up is done for 1 month, with horizontally homogenised radiative fluxes, where the longwave and shortwave cooling rates are averaged horizontally at each model level and timestep. Then the domain-averaged conditions over the final 5 days of these simulations are used to initialise the simulations, following Wing et al. (2018). Each simulation is then run for 5 years. Model output is given every 5 days, as a 5-day mean. Most simulations have been run with interactive radiation. However, in some, radiative feedbacks have been turned off by horizontally homogenising the radiative cooling rates at each model level and timestep, following Muller & Held (2012).

Some simulations include a diabatic heating perturbation. This is achieved using the Max Planck Institute Aerosol Climatology version 2, Simple Plume (MACv2-SP) model. This model prescribes idealised aerosol plumes. Parameters that can be tailored include the aerosol optical depth (AOD), single scattering albedo (SSA), and plume spatial extent, and these are given as functions of time and wavelength. In this dataset, we remove any temporal dependence and use constant parameters for each variable. We also only use a single plume in our simulations. Experiments are performed with a single plume at latitude = 0, longitude = 0, AOD = 1.8 and SSA = 0.8. There are a couple of exceptions to this:
- In file crh_aod_sensitivity.nc the AOD is varied from 0.3 to 1.8.
- In files 290K_plume_homogLW_*.nc the AOD used is 1
- In files 305K_plume_homogLW_*.nc the AOD used is 0.8.

Citable as:  Dingley, B.; Dagan, G.; Stier, P. (2021): ICOsahedral Nonhydrostatic global radiative-convective equilibrium model data, with additional diabatic heating perturbations. NERC EDS Centre for Environmental Data Analysis, 26 August 2021. doi:10.5285/1a86e0326e1346febf121eca83bf1f08. https://dx.doi.org/10.5285/1a86e0326e1346febf121eca83bf1f08
Abbreviation: Not defined
Keywords: ICON, GCM, RCE, diabatic heating

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were generated using the ICOsahedral Nonhydrostatic (ICON) Atmospheric Global Circulation Model (GCM). ICON was run on the R02B04 grid, which has an approximate horizontal grid-spacing of 160km. The vertical resolution is set by assigning 47 stretched model levels between the surface and model top at 83km. The aerosol plume model used is the Max Planck Institute Aerosol Climatology version 2, Simple Plume (MACv2-SP) model. In this study we have removed any temporal dependence of the aerosols, and we vary only the aerosol optical depth. Data has been provided to Centre for Environmental Data Analysis (CEDA) for archiving.

Data Quality:
Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
File Format:
Data are netCDF formatted.

Related Documents

No documents related to this record were found.

Citations: 1

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Dagan, G., Stier, P., Dingley, B., & Williams, A. I. L. (2022). Examining the Regional Co‐Variability of the Atmospheric Water and Energy Imbalances in Different Model Configurations—Linking Clouds and Circulation. Journal of Advances in Modeling Earth Systems, 14(6). Portico. https://doi.org/10.1029/2021ms002951

Process overview

This dataset was generated by the computation detailed below.
Title

ICOsahedral Nonhydrostatic (ICON) Atmospheric Global Circulation Model (GCM) deployed on ARCHER computer

Abstract

ICOsahedral Nonhydrostatic (ICON) Atmospheric Global Circulation Model (GCM) deployed on ARCHER computer

Input Description

None

Output Description

None

Software Reference

None

  • units: Pa
  • long_name: Pressure
  • standard_name: air_pressure
  • var_id: pfull
  • units: W m-2
  • var_id: advective_feedback
  • units: -
  • var_id: aer_asy_533
  • standard_name: aer_asy_533
  • long_name: aerosol asymmetry factor at 533 nm
  • units: -
  • var_id: aer_aod_533
  • standard_name: aer_aod_533
  • long_name: aerosol optical depth at 533 nm
  • units: -
  • var_id: aer_ssa_533
  • standard_name: aer_ssa_533
  • long_name: aerosol single scattering albedo at 533 nm
  • standard_name: height
  • var_id: height
  • long_name: generalized_height
  • units: m
  • var_id: zg
  • standard_name: geometric_height_at_full_level_center
  • long_name: geometric height at full level center
  • var_id: height_bnds
  • var_id: lat
  • var_id: lon
  • units:
  • var_id: longwave_feedback
  • var_id: model_layer
  • units: Pa
  • var_id: pressure
  • units: W m-2
  • var_id: q_rlw
  • units: W m-2
  • var_id: q_rsw
  • units:
  • var_id: relative_humidity_3d
  • var_id: rho
  • units: kg m-3
  • units: m s-1
  • var_id: shortwave_feedback
  • units: Pa
  • standard_name: surface_air_pressure
  • var_id: ps
  • long_name: surface pressure
  • units: m s-1
  • var_id: surface_enthalpy_feedback
  • units: m s-1
  • var_id: u_3d
  • units: m s-1
  • var_id: v_3d

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • long_name: latitude
  • var_id: lat
  • units: degrees_east
  • standard_name: longitude
  • long_name: longitude
  • var_id: lon
  • standard_name: time
  • var_id: time
  • units: day as %Y%m%d.%f
Coverage
Temporal Range
Start time:
-
End time:
-
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°