615144dec7bb4882a5a4bfed89862b93 English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 dataset Centre for Environmental Data Analysis (CEDA) 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-05-10T02:21:14 UK GEMINI 2.3 WGS 84 Coarse-grained numerical-weather-prediction cloud-resolving model data for use in machine learning thermodynamic tendencies 2020-11-25T14:13:47 publication 2020-11-25T14:13:47 creation https://catalogue.ceda.ac.uk/uuid/615144dec7bb4882a5a4bfed89862b93 615144dec7bb4882a5a4bfed89862b93 Centre for Environmental Data Analysis (CEDA) 10.5285/615144dec7bb4882a5a4bfed89862b93 doi 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. Morcrette, Cyril Unavailable author Unavailable author Centre for Environmental Data Analysis (CEDA) custodian 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk custodian Centre for Environmental Data Analysis (CEDA) distributor 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk distributor Centre for Environmental Data Analysis (CEDA) point_of_contact 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk pointofContact Centre for Environmental Data Analysis (CEDA) publisher 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk publisher unknown dataset Coarse cloud LAMs Met Office Machine learning unified model atmospheric conditions theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication otherRestrictions Public data: access to these data is available to both registered and non-registered users. otherRestrictions 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. grid English climatologyMeteorologyAtmosphere -171.62 171.62 -71.62 81.62 2016-01-01T00:00:00 2017-06-30T23:59:59 Data are netCDF formatted. Centre for Environmental Data Analysis (CEDA) Data Center Contact 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/615144dec7bb4882a5a4bfed89862b93 CEDA Data Catalogue Page Detail and access information for the resource information http://data.ceda.ac.uk/badc/deposited2020/coarsened-cloud-resolving-tq/data/ DOWNLOAD Download Data download 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 No further details. information 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 No further details. information 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 No further details. information https://github.com/CyrilMorcrette/ML_CoarseGrained_CRM_NWP Code used in Github repository No further details. information dataset 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 2010-12-08 Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).