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
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.
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: |
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)
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| File Format: |
Data are NetCDF formatted.
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Related Documents
Citations: 6
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.
| error occurred https://doi.org/10.1080/15230430.2019.1676939 |
| error occurred https://doi.org/10.1093/mnras/stac1930 |
| Kim, J., Lee, J., Hong, J.-W., et al. (2020) Evaluation of land-atmosphere processes of the Polar WRF in the summertime Arctic tundra. Atmospheric Research 240, 104946. https://doi.org/10.1016/j.atmosres.2020.104946 https://doi.org/10.1016/j.atmosres.2020.104946 |
| Malyarenko, A., Gossart, A., Sun, R. & Krapp, M. (2022) Conservation of heat and mass in P-SKRIPS version 1: the coupled atmosphere-ice-ocean model of The Ross Sea. https://doi.org/10.5194/egusphere-2022-1135 https://doi.org/10.5194/egusphere-2022-1135 |
| Yang, Q., Wu, X., Han, Y., Qing, C., Wu, S., Su, C., Wu, P., Luo, T. & Zhang, S. (2021) Estimating the astronomical seeing above Dome A using Polar WRF based on the Tatarskii equation. Optics Express 29, 44000. https://doi.org/10.1364/oe.439819 https://doi.org/10.1364/oe.439819 |
| Yang, S., Cheng, P., Wang, L., Lin, S., Yang, C. & Wang, T. (2017) Bread quality improvement by means of selected pregelatinized waxy rice flour (PWRF). Emirates Journal of Food and Agriculture, 664. https://doi.org/10.9755/ejfa.2017.v29.i9.116 https://doi.org/10.9755/ejfa.2017.v29.i9.116 |
Process overview
| 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
- units: hours
Temporal Range
2015-11-27T00:00:00
2015-11-27T23:30:00
Geographic Extent
-68.9931° |
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-6.6407° |
-53.3593° |
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-78.9298° |