Dataset
Mesoscale convective system tracks, diagnosed from European 2.2km climate model simulations
Abstract
This dataset contains mesoscale convective systems (MCS) tracks and their summary statistics, diagnosed from the UK Met Office (UKMO) Unified Model and ETH-Zurich (ETHZ) COSMO 2.2km Europe-wide convection permitting model simulations. The simulations are described in Berthou et al (2020) and Brogli et al (2022); they include two ECMWF Interim hindcast simulations (one from each model), two GCM-driven simulations (UM-only, present-climate and end-of-century RCP8.5), and one pseudo-global warming simulation (COSMO-only, end-of-century RCP8.5). The tracks are diagnosed using the DYMECS tracking scheme (Stein et al 2014 and Crook et al 2019). The tracking scheme detects all precipitation objects, but only mesoscale convection systems (MCSs) are sub-selected for analysis; MCSs are defined to be tracks with lifetime peak precipitation exceeding 20 mm/h and lifetime peak area exceeding 1000 squared kilometres. Data are in csv files, and are Python and R readable. These data were produced for the NERC-supported FUTURE-STORMS project (grant number: NE/R01079X/1); the underlying climate simulations were produced for the EU Horizon 2020 project European Climate Prediction System (EUCP) project (grant: 776613).
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 is derived from various of 2.2km Europe-wide convection permitting model simulations, which are part of the European Climate Prediction project. A subset of the raw model data will be made publicly available in the futurre through the Earth System Grid Federation nodes. Data were prepared by the project team before archiving at CEDA. |
| Data Quality: |
Derived directly from climate simulations without any bias corrections.
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| File Format: |
BADC-CSV
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Related Documents
Citations: 1
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.
| Chan, S.C., Kendon, E.J., Fowler, H.J., Kahraman, A., Crook, J., Ban, N. & Prein, A.F. (2023) Large-scale dynamics moderate impact-relevant changes to organised convective storms. Communications Earth & Environment 4. https://doi.org/10.1038/s43247-022-00669-2 https://doi.org/10.1038/s43247-022-00669-2 |
Process overview
| Title | Computation for Mesoscale convective system tracks |
| Abstract | Mesoscale convective systems tracks and their summary statistics were produced using the UK Met Office (UKMO) Unified Model and ETH-Zurich (ETHZ) COSMO 2.2km Europe-wide convection permitting model simulations. The simulations are described in Berthou et al (2020) and Brogli et al (2022); they include two ECMWF Interim hindcast simulations (one from each model), two GCM-driven simulations (UM-only, present-climate and end-of-century RCP8.5), and one pseudo-global warming simulation (COSMO-only, end-of-century RCP8.5). |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- units: mm/hr
- var_id: MaxMax
- long_name: Absolute peak 1hr rainfall accumulation anyhere inside the track
- var_id: MovementAngle
- long_name: Angle of movement between hourly image; 0-life tracks have no angle; 0 = north
- units: 90 = east
- units: deg
- var_id: MeanMovementAngleByEndPoints
- long_name: Angle of movement between start and end point of track
- var_id: Area
- long_name: Area of the track at each hourly image
- units: number of 12km pixels
- units: mm/hr
- var_id: Mean
- long_name: Areal mean rainfall rate of the track at each hourly image
- units: deg
- var_id: MeanMovementAngle
- long_name: Circular mean of MovementAngle
- units: day
- var_id: DD_Initiation
- long_name: Day of month of track initiation time
- units: 1/hr
- var_id: StormSpeed
- long_name: Distance moved by centroid by 5km pixel length at each hourly image; 0-life tracks have no speed
- units: hr
- var_id: HH_Dissipation
- long_name: Hour of day of track dissipation
- units: hr
- var_id: HH_Initiation
- long_name: Hour of day of track initiation
- units: hr
- var_id: Hrs2PeakMeanPr
- long_name: Hours needed track to reach highest mean Pr (MaxPeak)
- units: categorical
- var_id: Centroid_SurfaceType
- long_name: Land surface type below centroid at each hourly image;land or sea
- var_id: TrackSurfaceType
- long_name: Land surface types that centroid has traversed over its lifetime; land
- units: sea
- var_id: Max
- long_name: Largest 1hr rainfall accumulation at each hourly image
- units: mm/hour
- var_id: LifeMax
- long_name: Life of the track
- units: including life from parent if split; tracks that last for a single hour has 0 LifeMax
- units: mm/h
- var_id: MaxPrDuringGreatestArea
- long_name: Max when area == AreaMax
- units: mm/hr
- var_id: MeanMean
- long_name: Mean 1hr rainfall rate per pixel for the entire lifetime of track
- units: 1
- var_id: AreaMean
- long_name: Mean area of the track by number of 12km pixels
- units: degrees
- var_id: MeanCentroid_RLat
- long_name: Mean centroid rotated latitude
- units: degrees
- var_id: MeanCentroid_RLon
- long_name: Mean centroid rotated longitude
- var_id: MeanStormSpeed
- long_name: Mean of StormSpeed
- units: 1/hr
- units: 1/hr
- var_id: MeanStormSpeedByEndPoints
- long_name: Mean storm speed calculated from start and end points in 5km pixel lengths
- units: mm/h
- var_id: MeanPrDuringGreatestArea
- long_name: Mean when area == AreaMax
- units: degrees
- var_id: MeanCentroid_Lat
- long_name: MeanCentroid_RLat in regular lat
- units: degrees
- var_id: MeanCentroid_Lon
- long_name: MeanCentroid_RLon in regular lon
- units: month
- var_id: MM_Initiation
- long_name: Month of track initiation time
- units: 1
- var_id: AreaDuringPeakPr
- long_name: Number of 5km pixels when Max == MaxMax
- units: 1
- var_id: AreaDuringPeakMeanPr
- long_name: Number of 5km pixels when Mean == MaxMean
- units: hr
- var_id: Nhrs(A>=7gp)
- long_name: Number of hours that Area > 7 pixels
- units: hr
- var_id: Nhrs(Pr>=10.0mm/h)
- long_name: Number of hours that Max > 10 mm/h
- units: 1
- var_id: AreaMax
- long_name: Peak area of the track by number of 12km pixels
- var_id: MaxMean
- long_name: Peak areal average mean 1hr rainfall accumulation
- units: mm/h
- units: 1
- var_id: AvgDistFromCtr
- long_name: Root mean squared distance of centroid from mean centroid location by number of 5km pixels
- units: hr
- var_id: LifeAtAreaMax
- long_name: Time index when AreaMax is recorded; 0-indexing used
- units: hr
- var_id: LifeAtMaxMax
- long_name: Time index when MaxMax is recorded; 0-indexing used
- var_id: TotalVolume
- long_name: Total lifetime rainfall output - time and area integrated
- units: m**3
- units: 1
- var_id: track_id
- long_name: Unique identifier to MCS track; do not always start at zero
- units: degrees
- var_id: Centroid_WorldLat
- long_name: World latitude at each hourly image
- units: degrees
- var_id: Centroid_WorldLon
- long_name: World longitude at each hourly image
- units: year
- var_id: YYYY_Initiation
- long_name: Year of track initiation time
Co-ordinate Variables
Temporal Range
1998-01-01T00:00:00
2105-12-31T00:00:00
Geographic Extent
59.5000° |
||
-11.0000° |
25.0000° |
|
35.5000° |