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Dataset

 

Microphysics of Antarctic Clouds: Polar-optimised Weather Research and Forecasting (PWRF) model simulations for case study with BAS MASIN twin-otter flights 218 and 219

Update Frequency: Not Planned
Latest Data Update: 2020-04-30
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2019-02-13
DOI Publication Date: 2019-02-13
Download Stats: last 12 months
Dataset Size: 20 Files | 139GB

Abstract

The NERC-funded Microphysics of Antarctic Clouds (MAC) project was centred on an aircraft campaign measuring clouds, aerosols, and boundary layer properties over the Weddell Sea, Antarctica. These data are simulations of the Polar-optimised Weather Research and Forecasting (PWRF) model for 5 configurations of the model's Morrison microphysics scheme, produced for a case study of two separate flights over the same region during the campaign (British Antarctic Survey MASIN twin-otter aircraft flights 218 an 219 on 27th November 2015). Each simulation contains data from two domains - a parent domain with 5km grid size and a nest with a 1km grid size.

The control simulation used default physics options in the PWRF model's Morrison microphysics scheme. For the no-threshold, 2xHM, 5xHM, 10xHM simulations, thresholds restricting Hallett-Mossop secondary ice production in the PWRF model's Morrison microphysics scheme were removed, and for the 2xHM, 5xHM, and 10xHM cases the corresponding ice multiplication factor was increased by a factor of 2, 5 or 10.

In all simulations, an approximation of the DeMott et al., 2010 (PNAS) parametrization used for primary ice nucleation.

Methodology and further details can be found in Young et al., 2019 (Geophysical Research Letters): Radiative effects of secondary ice enhancement in coastal Antarctic clouds.

Citable as:  Young, G. (2019): Microphysics of Antarctic Clouds: Polar-optimised Weather Research and Forecasting (PWRF) model simulations for case study with BAS MASIN twin-otter flights 218 and 219. Centre for Environmental Data Analysis, 13 February 2019. doi:10.5285/5d1af7fc779346de86de4a6fcf750912. https://dx.doi.org/10.5285/5d1af7fc779346de86de4a6fcf750912
Abbreviation: Not defined
Keywords: PWRF, microphysics

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
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:

Data were generated using the Polar-optimised Weather Research and Forecasting (PWRF) model with 5km horizontal grid size over the domain 53.4W-6.6W, 78.9S-69.0S. WRF data has been converted to CF-netCDF using python's netCDF-4 library, then passed on to the 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.

Process overview

This dataset was generated by the computation detailed below.
Title

Polar-optimised Weather Research and Forecasting (PWRF) model (version 3.6.1) on the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk)

Abstract

Polar-optimised Weather Research and Forecasting (PWRF) model (version 3.6.1) on the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk)

Input Description

None

Output Description

None

Software Reference

None

  • var_id: rho
  • units: kg m-3
  • standard_name: air_density
  • units: K
  • standard_name: air_potential_temperature
  • var_id: theta
  • units: Pa
  • standard_name: air_pressure
  • var_id: pressure
  • units: K
  • standard_name: air_temperature
  • var_id: temperature
  • units: kg kg-1
  • standard_name: cloud_ice_mixing_ratio
  • var_id: qisg
  • units: kg kg-1
  • standard_name: cloud_liquid_water_mixing_ratio
  • var_id: qcloud
  • units: m
  • standard_name: height
  • var_id: height
  • units: kg kg-1
  • standard_name: humidity_mixing_ratio
  • var_id: qvapor
  • units: m
  • var_id: level
  • long_name: model_level
  • long_name: number_concentration_of_ice_crystals_in_air
  • units: kg-1
  • var_id: nisg
  • units: kg-1
  • long_name: number_concentration_of_ice_crystals_larger_than_80micron_in_air
  • var_id: nisg80
  • units: kg-1
  • long_name: number_concentration_of_ice_crystals_smaller_than_50micron_in_air
  • var_id: nisg50
  • units: kg kg-1
  • long_name: rain_water_mixing_ratio
  • var_id: qrain
  • units: 1
  • standard_name: sea_ice_area_fraction
  • var_id: seaice
  • units: W m-2
  • standard_name: surface_downwelling_longwave_flux_in_air
  • var_id: lwdnb
  • units: W m-2
  • standard_name: surface_downwelling_longwave_flux_in_air_assuming_clear_sky
  • var_id: lwdnbc
  • units: W m-2
  • standard_name: surface_downwelling_shortwave_flux_in_air
  • var_id: swdnb
  • units: W m-2
  • standard_name: surface_downwelling_shortwave_flux_in_air_assuming_clear_sky
  • var_id: swdnbc
  • units: W m-2
  • standard_name: surface_upwelling_longwave_flux_in_air
  • var_id: lwupb
  • units: W m-2
  • standard_name: surface_upwelling_longwave_flux_in_air_assuming_clear_sky
  • var_id: lwupbc
  • units: W m-2
  • standard_name: surface_upwelling_shortwave_flux_in_air
  • var_id: swupb
  • units: W m-2
  • standard_name: surface_upwelling_shortwave_flux_in_air_assuming_clear_sky
  • var_id: swupbc
  • units: m s-1
  • var_id: W
  • long_name: vertical_wind_speed

Co-ordinate Variables

  • units: degree_north
  • standard_name: latitude
  • var_id: latitude
  • units: degree_east
  • standard_name: longitude
  • var_id: longitude
  • standard_name: time
  • var_id: time
Coverage
Temporal Range
Start time:
2015-11-27T00:00:00
End time:
2015-11-27T23:30:00
Geographic Extent

 
-68.9931°
 
-6.6407°
 
-53.3593°
 
-78.9298°