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Coarse-grained numerical-weather-prediction cloud-resolving model data for use in machine learning thermodynamic tendencies

This dataset contains a series of 99 limited-area models (LAMs) nested within the Met Office global model. Met Office Unified Model (MetUM) deployed on xce, xcf and xcs in Exeter. Model data generated using Met Office Unified Model using a nesting suite (u-bw210) that runs an N512 global forecast and 99 embedded limited-area models each using a convection-permitting grid-length of 1.5km. The LAMs are each 360x360 grid points. The outer region is deemed to be a spin-up region and is ignored. The central 240x240 is then coarse-grained onto a 45km scale using 30x30 horizontal averaging to produce a 8x8=64 grid of spatially averaged data. Each file contains data from only one of these 64 subdomains, but data from every one the 99 regions around the globe. The nesting simulations are free-running within each LAM, but the driving model is re-initialised every 00Z using operational atmospheric analyses. All 99 regions are wholly over the sea. The central lat/lon for each of the 99 regions are: (80,-150), (70,0), (60,-35), (60,-15), (50,-160), (50,-140), (50,-45), (50,-25), (50,-149), (50,170), (40,-160), (40,-140), (40,-65), (40,-45), (40,-25), (40,150), (40,170), (30,-170), (30,-150), (30,-130), (29,-65), (30,-45), (30,-25), (30,145), (30,170), (20,-170), (20,-145), (21,-115), (20,-55), (20,-30), (20,65), (20,135), (20,170), (10,-170), (10,-140), (10,-120), (10,-100), (10,-50), (10,-30), (10,60), (10,88), (10,145), (10,160), (0,-160), (0,-130), (0,-100), (0,-30), (0,-15), (0,0), (0,50), (0,70), (0,88), (0,160), (-10,-170), (-10,-140), (-10,-120), (-10,-90), (-10,-30), (-10,-15), (-10,5), (-10,60), (-10,88), (-10,170), (-20,-160), (-20,-130), (-20,-100), (-20,-30), (-20,0), (-20,55), (-20,80), (-20,105), (-30,-160), (-30,-130), (-30,-100), (-30,-40), (-30,-15), (-30,10), (-30,60), (-30,88), (-40,-160), (-40,-130), (-40,-100), (-40,-50), (-40,0), (-40,50), (-40,100), (-50,-150), (-50,-90), (-50,-30), (-50,30), (-50,88), (-50,150), (-60,-140), (-60,-70), (-60,0), (-60,70), (-60,140), (-70,-160), (-70,-40). The data has near global coverage, but using this series of small domains. Training data is available for 6 months: Jan, Mar, Apr, Jul, Oct, Dec 2016. Test data is available for Jun 2017.

Simple

Date (Publication)
2020-11-25T14:13:47
Date (Creation)
2020-11-25T14:13:47
Citation identifier
https://catalogue.ceda.ac.uk/uuid/615144dec7bb4882a5a4bfed89862b93
Citation identifier
Centre for Environmental Data Analysis (CEDA) / 615144dec7bb4882a5a4bfed89862b93
Citation identifier
doi / 10.5285/615144dec7bb4882a5a4bfed89862b93
Point of contact
Organisation name Individual name Electronic mail address Role

Unavailable

Morcrette, Cyril

Unavailable

Author

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Custodian

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Distributor

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

pointofContact

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Publisher
Maintenance and update frequency
Unknown
Update scope
Dataset
Keywords
  • Coarse

  • cloud

  • LAMs

  • Met Office

  • Machine learning

  • unified model

GEMET - INSPIRE themes, version 1.0

  • atmospheric conditions

Access constraints
Other restrictions
Other constraints
Public data: access to these data is available to both registered and non-registered users.
Use constraints
Other restrictions
Other constraints
Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Spatial representation type
Grid
Language
English
Topic category
  • Climatology, meteorology, atmosphere
N
S
E
W
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Begin date
2016-01-01T00:00:00
End date
2017-06-30T23:59:59
Unique resource identifier
WGS 84
Distribution format
Name Version

Data are netCDF formatted.

Distributor contact
Organisation name Individual name Electronic mail address Role

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://catalogue.ceda.ac.uk/uuid/615144dec7bb4882a5a4bfed89862b93

CEDA Data Catalogue Page

OnLine resource
Protocol Linkage Name
http://data.ceda.ac.uk/badc/deposited2020/coarsened-cloud-resolving-tq/data/

DOWNLOAD

OnLine resource
Protocol Linkage Name
https://gmd.copernicus.org/articles/10/1487/2017/

The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations

OnLine resource
Protocol Linkage Name
https://gmd.copernicus.org/articles/13/1999/2020/gmd-13-1999-2020.html

The first Met Office Unified Model–JULES Regional Atmosphere and Land configuration

OnLine resource
Protocol Linkage Name
https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/asl.172

A high‐resolution modelling case study of a severe weather event over New Zealand

OnLine resource
Protocol Linkage Name
https://github.com/CyrilMorcrette/ML_CoarseGrained_CRM_NWP

Code used in Github repository

Hierarchy level
Dataset

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Statement

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

Metadata

File identifier
615144dec7bb4882a5a4bfed89862b93 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2026-01-15T03:20:04
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role

Centre for Environmental Data Analysis (CEDA)

support@ceda.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

atmospheric conditions


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