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Dataset

 

FRANC: Ensemble member output from UK Met Office Unified Model runs supporting analysis of convective-scale perturbation growth across a spectrum of convective regimes

Update Frequency: Not Planned
Latest Data Update: 2020-08-26
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2020-09-11
DOI Publication Date: 2020-09-11
Download Stats: last 12 months
Dataset Size: 866 Files | 762GB

Abstract

Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection (FRANC): Ensemble member output from Unified Model runs as described in Flack et al. (2018): Convective-Scale Perturbation Growth Across the Spectrum of Convective Regimes, Monthly Weather Review, 146, 387-405

The dataset contains ensemble run output from 36 hour long runs under different model set ups (see details below) for 6 case studies (see Flack et al. 2018 for greater detail). The case studies (and model output available in the dataset) chosen related to a spectrum of 'convective adjustment time scales', defined as the ratio between the convective available potential energy (CAPE) and its rate of release at the convective scale. 'control' run files contain large scale rainfall rates and amounts whilst the 'control_multilevel' files contain various parameters on various levels, including mean sea level pressure, zonal, meridional and vertical wind components, specific humidity and temperature.

- Case A: 20th April 2012, part of the Dynamical and Microphysical Evolution of Convective Storms (DYMECS) field experiment (Stein et al. 2015), showing typical conditions for scattered showers in the United Kingdom.
- Case B: 12 August 2013, for a case where a surface low was situated over Scandinavia and the Azores high was beginning to build, leading to persistent northwesterly flow.
- Case C: 23rd July 2013, relating to the fifth intensive observation period (IOP 5) of the Convective Precipitation Experiment (COPE; Leon et al. 2016). A low pressure system was centered to the west of the United Kingdom with several fronts ahead of the main center, which later decayed.
- Case D: 2nd August 2013, covering IOP 10 of the COPE field campaign, with convection initiating at 1100 UTC. The synoptic situation shows a low pressure system centered to the west of Scotland, which led to southwesterly winds and a convergence line being set up along the North Cornish coastline (in southwest England).
- Case E: 27th July 2013, covers the period of IOP 7 of the COPE field campaign where two mesoscale convective systems (MCS) influenced the U.K.’s weather throughout the forecast period.
- Case F: 5th August 2013, was chosen for the complex situation for considering convective-scale perturbation grown and a second case driven by the boundary conditions as seen during IOP 12 of the COPE campaign

A brief description of the model run IDs and model setup is given below.

The model used to create these ensembles is the Met Office Unified Model (MetUM). The United Kingdom Variable resolution (UKV) configuration is used, and so the data has a grid spacing of approximately 1.5 km. This was run at version 8.2 and run with the MetUM Graphical User Interface (GUI).

run ID: xkyib

This is the control experiment and everything is kept identical to the operational running of this configuration of the MetUM.

run ID: xldef

Here the Gaussian potential temperature perturbations are added into the model. Full details of the perturbation method are described in Flack et al. (2018) Convective-Scale Perturbation Growth Across the Spectrum of Convective Regimes, Monthly Weather Review, 146, 387-405, however a brief overview is given below:

A Gaussian distribution (defined using random numbers between +/- 1 at each grid point, with the seed determined by the time the model is ran) is created at every grid point in the domain. A superposition is created and rescaled to 0.1 K so as to be an appropriate amplitude for boundary layer noise. Each of the Gaussian distributions have a standard deviation of 9km so as to be added onto an appropriate scale for the model. The perturbations are added in at a model hybrid height of 261.6 m (approximately the 8th model level).

Citable as:  Flack, D.L.A. (2020): FRANC: Ensemble member output from UK Met Office Unified Model runs supporting analysis of convective-scale perturbation growth across a spectrum of convective regimes. Centre for Environmental Data Analysis, 11 September 2020. doi:10.5285/b0c3f8b3db16434f80f833aa914e2bd4. https://dx.doi.org/10.5285/b0c3f8b3db16434f80f833aa914e2bd4
Abbreviation: Not defined
Keywords: convection, ensemble runs, CAPE, perturbation

Details

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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 produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).

Data Quality:
No quality control information has been provided for these data by the data provider, nor has any been undertaken by the data centre.
File Format:
Data are PP binary formatted.

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Computation Element: 1

Title Met Office Unified Model United Kingdom Variable resolution (UKV) version 8.2, run xkyib
Abstract Control experiment run of version version 8.2 of the Met Office Unified Model, United Kingdom Variable resolution (UKV) following operational configuration of the Unified Model.
Input Description None
Output Description None
Software Reference None

Computation Element: 2

Title Met Office Unified Model United Kingdom Variable resolution (UKV) version 8.2, run xldef
Abstract Perturbation experiment run of version 8.2 of the Met Office Unified Model, United Kingdom Variable resolution (UKV) following operational configuration of the Unified Model. Here the Gaussian potential temperature perturbations are added into the model. Full details of the perturbation method are described in Flack et al. (2018) Convective- Scale Perturbation Growth Across the Spectrum of Convective Regimes, Monthly Weather Review, 146, 387-405, however I give a brief overview here: A Gaussian distribution (defined using random numbers between +/- 1 at each grid point, with the seed determined by the time the model is ran) is created at every grid point in the domain. A superposition is created and rescaled to 0.1 K so as to be an appropriate amplitude for boundary layer noise. Each of the Gaussian distributions have a standard deviation of 9km so as to be added onto an appropriate scale for the model. The perturbations are added in at a model hybrid height of 261.6 m (appro ximately the 8th model level).
Input Description None
Output Description None
Software Reference None
  • units: m s-1
  • standard_name: y_wind
  • long_name: None
  • names: y_wind, None

Co-ordinate Variables

Coverage
Temporal Range
Start time:
2013-04-20T00:00:00
End time:
2013-08-13T12:00:00
Geographic Extent

 
60.8000°
 
-13.0000°
 
4.0000°
 
49.0000°