Dataset
UM-CASIM Simulation Data for campaign cases from the DCMEX Project
Latest Data Update: 2025-03-14
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2025-03-14
Download Stats: last 12 months
Dataset Size: 21.82K Files | 3TB
Abstract
This dataset contains output from the Unified Model - Cloud AeroSol Interacting Microphysics (UM-CASIM) model simulations of campaign case studies carried out as part of the Deep Convective Microphysics Experiment (DCMEX) project.
The simulation is designed to investigate cloud microphysics and convective processes under varying atmospheric conditions. It includes 1.5km gridded data of cloud and radiative properties, along with a number of other variables of potential interest such as precipitation and lightning. It is intended to support both process-level studies and model validation efforts.
Single level data is provided in files with suffixes "pa000" (time-averages) and "px" (instantaneous). Pressure level data is provided in files with suffixes "pw". Model level data is provided files with suffixes "pz".
These simulations utilise data collected during the DCMEX measurement campaign in July and August 2022, New Mexico, USA. https://dx.doi.org/10.5285/B1211AD185E24B488D41DD98F957506C
This research has been supported by the Natural Environment Research Council (grant nos. NE/T006420/1). Paul Field (UK Met Office) supported the simulation setup and experiment design.
Citable as: Finney, D. (2025): UM-CASIM Simulation Data for campaign cases from the DCMEX Project. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/b850297a4de4493b8ff048f574811e25
Abbreviation: Not defined
Keywords: UM-CASIM, Cloud Modeling, DCMEX, Convection-permitting modelling, Microphysics
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: |
Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). |
| Data Quality: |
Data are as supplied by the project team. No quality information is available
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| File Format: |
NetCDF
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Related Documents
Process overview
This dataset was generated by the computation detailed below.
| Title | UM-CASIM for DCMEX |
| Abstract | DCMEX-specific setup of UM-CASIM with bespoke microphysical schemes |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- var_id: Density used for rad layers (kg m-3)
- var_id: MLCAPE mixed layer CAPE (J kg-1)
- var_id: MLCIN mixed layer CIN (J kg-1)
- var_id: MUCAPE maximum CAPE below 500mb (J kg-1)
- var_id: MUCIN maximum CIN below 500mb (J kg-1)
- var_id: Number_of_lightning_flashes
- long_name: Number_of_lightning_flashes
- var_id: SBCAPE surface based CAPE (J kg-1)
- var_id: SBCIN surface based CIN (J kg-1)
- var_id: Total column Q (water vapour path)
- units: Pa
- standard_name: air_pressure
- var_id: air_pressure
- units: K
- standard_name: air_temperature
- var_id: air_temperature
- units: kg m-2
- standard_name: atmosphere_cloud_ice_content
- var_id: atmosphere_cloud_ice_content
- units: kg m-2
- standard_name: atmosphere_cloud_liquid_water_content
- var_id: atmosphere_cloud_liquid_water_content
- var_id: cloud_area_fraction_assuming_random_overlap
- long_name: cloud_area_fraction_assuming_random_overlap
- long_name: cloud_volume_fraction_in_atmosphere_layer
- var_id: cloud_volume_fraction_in_atmosphere_layer
- units: K
- standard_name: dew_point_temperature
- var_id: dew_point_temperature
- units: hours
- standard_name: forecast_period
- var_id: forecast_period
- units: hours
- standard_name: forecast_reference_time
- var_id: forecast_reference_time
- units: m
- standard_name: geopotential_height
- var_id: geopotential_height
- units: kg m-2 s-1
- var_id: graupel_fall_flux_at_surface
- long_name: graupel_fall_flux_at_surface
- units: degrees
- standard_name: grid_latitude
- var_id: grid_latitude
- units: degrees
- standard_name: grid_longitude
- var_id: grid_longitude
- units: m
- standard_name: height
- var_id: height
- standard_name: high_type_cloud_area_fraction
- var_id: high_type_cloud_area_fraction
- long_name: ice_cloud_volume_fraction_in_atmosphere_layer
- var_id: ice_cloud_volume_fraction_in_atmosphere_layer
- units: Pa s-1
- standard_name: lagrangian_tendency_of_air_pressure
- var_id: lagrangian_tendency_of_air_pressure
- var_id: lat
- units: m
- long_name: level_height
- var_id: level_height
- long_name: liquid_cloud_volume_fraction_in_atmosphere_layer
- var_id: liquid_cloud_volume_fraction_in_atmosphere_layer
- var_id: lon
- standard_name: low_type_cloud_area_fraction
- var_id: low_type_cloud_area_fraction
- units: kg kg-1
- long_name: mass_fraction_of_cloud_ice_crystals_in_air
- var_id: mass_fraction_of_cloud_ice_crystals_in_air
- units: kg kg-1
- standard_name: mass_fraction_of_cloud_ice_in_air
- var_id: mass_fraction_of_cloud_ice_in_air
- units: kg kg-1
- standard_name: mass_fraction_of_cloud_liquid_water_in_air
- var_id: mass_fraction_of_cloud_liquid_water_in_air
- units: kg kg-1
- standard_name: mass_fraction_of_graupel_in_air
- var_id: mass_fraction_of_graupel_in_air
- units: kg kg-1
- standard_name: mass_fraction_of_rain_in_air
- var_id: mass_fraction_of_rain_in_air
- standard_name: medium_type_cloud_area_fraction
- var_id: medium_type_cloud_area_fraction
- standard_name: model_level_number
- var_id: model_level_number
- units: kg-1
- var_id: number_of_cloud_droplets_per_kg_of_air
- long_name: number_of_cloud_droplets_per_kg_of_air
- units: kg-1
- var_id: number_of_graupel_particles_per_kg_of_air
- long_name: number_of_graupel_particles_per_kg_of_air
- units: kg-1
- var_id: number_of_ice_particles_per_kg_of_air
- long_name: number_of_ice_particles_per_kg_of_air
- units: kg-1
- var_id: number_of_rain_drops_per_kg_of_air
- long_name: number_of_rain_drops_per_kg_of_air
- units: kg-1
- var_id: number_of_snow_aggregates_per_kg_of_air
- long_name: number_of_snow_aggregates_per_kg_of_air
- units: hPa
- var_id: pressure
- long_name: pressure
- standard_name: relative_humidity
- var_id: relative_humidity
- units: %
- var_id: sigma
- long_name: sigma
- units: kg kg-1
- standard_name: specific_humidity
- var_id: specific_humidity
- units: kg m-2 s-1
- var_id: stratiform_rainfall_flux
- standard_name: stratiform_rainfall_flux
- units: kg m-2 s-1
- var_id: stratiform_snowfall_flux
- standard_name: stratiform_snowfall_flux
- units: Pa
- standard_name: surface_air_pressure
- var_id: surface_air_pressure
- units: W m-2
- standard_name: toa_incoming_shortwave_flux
- var_id: toa_incoming_shortwave_flux
- units: W m-2
- standard_name: toa_outgoing_longwave_flux
- var_id: toa_outgoing_longwave_flux
- units: W m-2
- standard_name: toa_outgoing_longwave_flux_assuming_clear_sky
- var_id: toa_outgoing_longwave_flux_assuming_clear_sky
- units: W m-2
- standard_name: toa_outgoing_shortwave_flux
- var_id: toa_outgoing_shortwave_flux
- units: W m-2
- standard_name: toa_outgoing_shortwave_flux_assuming_clear_sky
- var_id: toa_outgoing_shortwave_flux_assuming_clear_sky
- units: m s-1
- standard_name: upward_air_velocity
- var_id: upward_air_velocity
- var_id: very low cloud amount
- units: m s-1
- standard_name: x_wind
- var_id: x_wind
- units: m s-1
- standard_name: y_wind
- var_id: y_wind
Co-ordinate Variables
- standard_name: latitude
- var_id: lat
- standard_name: longitude
- var_id: lon
- standard_name: time
- var_id: time
- units: hours
Coverage
Temporal Range
Start time:
2022-07-16T00:00:00
End time:
2022-08-09T23:59:59
Geographic Extent
38.0000° |
||
-112.0000° |
-102.0000° |
|
29.0000° |
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