Dataset
Global model data generated for COVID-19 simulations 2012-2014
Abstract
Global model data has been generated for COVID-19 (Coronavirus Disease 2019) simulations. The model used was the United Kingdom Earth System Model 1.0 (UKESM1.0), in an atmosphere-only nudged configuration, with Met Office Unified Model version 11.5. The data is on a global N96 grid (192 x 144 points), and covers the years 2012, 2013, and 2014. These data were used to study the effect of COVID-19 lockdowns (simulated scenarios) on atmospheric composition and radiative forcing.
The dataset includes data used in the paper submitted to Geophysical Research Letters (GRL) August 2020 with title 'Minimal climate impacts from short-lived climate forcers following emission reductions related to the COVID-19 pandemic'. See Details/Docs tab for a link to this. For this purpose, there are four experimental integrations (a1, a2, a3, a4), and a control (con) for each year. The files are labelled using variable codes such as m01s34i001 to determine the model variable field contained. A full description of what these are can be found in the included docs/file variable_codes.txt.
The data are in NetCDF format, and were generated from the following suites: u-bt034, u-bt090, u-bt091, u-bt092, u-bt637, u-bt341, u-bt342, u-bt343, u-bt344, u-bt926, u-bt375, u-bt376, u-bt377, u-bt378, u-bt927.
This is a NERC funded project.
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: |
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(s): 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: |
Simulations run on Met Office MONSooN2. Data extracted from MASS to JASMIN as PP files. Converted to CF-compliant NetCDF format using Python 3.7.1. Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). |
| Data Quality: |
The Centre for Environmental Data Analysis have done no quality control on the data they are as produced by the project team.
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| File Format: |
The data are in NetCDF format.
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Process overview
| Title | UK Chemistry Aerosol Community Model - UKCA deployed on Cambridge University computer |
| Abstract | This computation involved: UK Chemistry Aerosol Community Model - UKCA deployed on Cambridge University computer. UKCA is a joint NCAS-Met Office programme funded by NCAS, GMR and DEFRA. Project partners are the Hadley Centre and the Universities of Cambridge and Leeds. Our objective is to develop, evaluate and make available a new UK community atmospheric chemistry-aerosol global model suitable for a range of topics in climate and environmental change research. |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- units: 1
- standard_name: atmosphere_optical_thickness_due_to_dust_ambient_aerosol
- var_id: atmosphere_optical_thickness_due_to_dust_ambient_aerosol
- names: atmosphere_optical_thickness_due_to_dust_ambient_aerosol
- units: 1
- long_name: atmosphere_optical_thickness_due_to_insoluble_aitken_mode_sulphate_aerosol
- var_id: atmosphere_optical_thickness_due_to_insoluble_aitken_mode_sulphate_aerosol
- names: atmosphere_optical_thickness_due_to_insoluble_aitken_mode_sulphate_aerosol
- units: 1
- long_name: atmosphere_optical_thickness_due_to_soluble_accumulation_mode_sulphate_aerosol
- var_id: atmosphere_optical_thickness_due_to_soluble_accumulation_mode_sulphate_aerosol
- names: atmosphere_optical_thickness_due_to_soluble_accumulation_mode_sulphate_aerosol
- units: 1
- long_name: atmosphere_optical_thickness_due_to_soluble_aitken_mode_sulphate_aerosol
- var_id: atmosphere_optical_thickness_due_to_soluble_aitken_mode_sulphate_aerosol
- names: atmosphere_optical_thickness_due_to_soluble_aitken_mode_sulphate_aerosol
- units: hours
- standard_name: forecast_period
- var_id: forecast_period
- names: forecast_period
- var_id: forecast_period_bnds
- standard_name: forecast_reference_time
- var_id: forecast_reference_time
- names: forecast_reference_time
- var_id: latitude_longitude
- units: m
- long_name: level_height
- var_id: level_height
- names: level_height
- var_id: level_height_bnds
- var_id: m01s01i298
- var_id: m01s01i299
- var_id: m01s01i517
- var_id: m01s01i519
- var_id: m01s02i240
- var_id: m01s02i241
- var_id: m01s02i242
- var_id: m01s02i243
- var_id: m01s02i517
- var_id: m01s02i519
- var_id: m01s02i585
- var_id: m01s34i996
- var_id: m01s38i423
- var_id: m01s38i424
- var_id: m01s38i425
- var_id: m01s38i426
- var_id: m01s38i504
- var_id: m01s38i505
- var_id: m01s38i506
- var_id: m01s38i507
- var_id: m01s50i041
- var_id: m01s50i062
- var_id: m01s50i063
- var_id: m01s50i140
- var_id: m01s50i141
- var_id: m01s50i142
- var_id: m01s50i150
- var_id: m01s50i151
- var_id: m01s50i152
- var_id: m01s50i153
- units: kg kg-1
- long_name: mass_fraction_of_black_carbon_in_insoluble_aitken_mode_dry_aerosol_in_air
- var_id: mass_fraction_of_black_carbon_in_insoluble_aitken_mode_dry_aerosol_in_air
- names: mass_fraction_of_black_carbon_in_insoluble_aitken_mode_dry_aerosol_in_air
- units: kg kg-1
- long_name: mass_fraction_of_black_carbon_in_soluble_accumulation_mode_dry_aerosol_in_air
- var_id: mass_fraction_of_black_carbon_in_soluble_accumulation_mode_dry_aerosol_in_air
- names: mass_fraction_of_black_carbon_in_soluble_accumulation_mode_dry_aerosol_in_air
- units: kg kg-1
- long_name: mass_fraction_of_black_carbon_in_soluble_aitken_mode_dry_aerosol_in_air
- var_id: mass_fraction_of_black_carbon_in_soluble_aitken_mode_dry_aerosol_in_air
- names: mass_fraction_of_black_carbon_in_soluble_aitken_mode_dry_aerosol_in_air
- units: kg kg-1
- long_name: mass_fraction_of_black_carbon_in_soluble_coarse_mode_dry_aerosol_in_air
- var_id: mass_fraction_of_black_carbon_in_soluble_coarse_mode_dry_aerosol_in_air
- names: mass_fraction_of_black_carbon_in_soluble_coarse_mode_dry_aerosol_in_air
- var_id: mass_fraction_of_hydroxyl_radical_in_air
- units: kg kg-1
- standard_name: mass_fraction_of_methane_in_air
- var_id: mass_fraction_of_methane_in_air
- names: mass_fraction_of_methane_in_air
- units: kg kg-1
- standard_name: mass_fraction_of_ozone_in_air
- var_id: mass_fraction_of_ozone_in_air
- names: mass_fraction_of_ozone_in_air
- units: kg kg-1
- standard_name: mass_fraction_of_sulfur_dioxide_in_air
- var_id: mass_fraction_of_sulfur_dioxide_in_air
- names: mass_fraction_of_sulfur_dioxide_in_air
- units: kg kg-1
- long_name: mass_fraction_of_sulfuric_acid_in_soluble_accumulation_mode_dry_aerosol_in_air
- var_id: mass_fraction_of_sulfuric_acid_in_soluble_accumulation_mode_dry_aerosol_in_air
- names: mass_fraction_of_sulfuric_acid_in_soluble_accumulation_mode_dry_aerosol_in_air
- units: kg kg-1
- long_name: mass_fraction_of_sulfuric_acid_in_soluble_aitken_mode_dry_aerosol_in_air
- var_id: mass_fraction_of_sulfuric_acid_in_soluble_aitken_mode_dry_aerosol_in_air
- names: mass_fraction_of_sulfuric_acid_in_soluble_aitken_mode_dry_aerosol_in_air
- units: kg kg-1
- long_name: mass_fraction_of_sulfuric_acid_in_soluble_coarse_mode_dry_aerosol_in_air
- var_id: mass_fraction_of_sulfuric_acid_in_soluble_coarse_mode_dry_aerosol_in_air
- names: mass_fraction_of_sulfuric_acid_in_soluble_coarse_mode_dry_aerosol_in_air
- units: kg kg-1
- long_name: mass_fraction_of_sulfuric_acid_in_soluble_nucleation_mode_dry_aerosol_in_air
- var_id: mass_fraction_of_sulfuric_acid_in_soluble_nucleation_mode_dry_aerosol_in_air
- names: mass_fraction_of_sulfuric_acid_in_soluble_nucleation_mode_dry_aerosol_in_air
- units: 1
- standard_name: model_level_number
- var_id: model_level_number
- names: model_level_number
- units: 1
- long_name: product_of_cloud_liquid_water_area_fraction_exposed_to_space_and_sunlit_binary_mask
- var_id: product_of_cloud_liquid_water_area_fraction_exposed_to_space_and_sunlit_binary_mask
- names: product_of_cloud_liquid_water_area_fraction_exposed_to_space_and_sunlit_binary_mask
- units: um
- long_name: product_of_effective_radius_of_cloud_liquid_water_particle_and_cloud_liquid_water_area_fraction_exposed_to_space_and_sunlit_binary_mask
- var_id: product_of_effective_radius_of_cloud_liquid_water_particle_and_cloud_liquid_water_area_fraction_exposed_to_space_and_sunlit_binary_mask
- names: product_of_effective_radius_of_cloud_liquid_water_particle_and_cloud_liquid_water_area_fraction_exposed_to_space_and_sunlit_binary_mask
- units: 1
- long_name: pseudo_level
- var_id: pseudo_level
- names: pseudo_level
- units: 1
- var_id: sigma
- long_name: sigma
- names: sigma
- var_id: sigma_bnds
- var_id: time_bnds
- units: W m-2
- standard_name: toa_incoming_shortwave_flux
- var_id: toa_incoming_shortwave_flux
- names: toa_incoming_shortwave_flux
Co-ordinate Variables
- units: degrees_north
- standard_name: latitude
- var_id: latitude
- names: latitude
- units: degrees_east
- standard_name: longitude
- var_id: longitude
- names: longitude
- standard_name: time
- var_id: time
- names: time
Temporal Range
2012-01-01T00:00:00
2014-12-31T23:59:59
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |