319b3f878c7d4cbfbdb356e19d8061d6 English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 87f43af9d02e42f483351d79b3d6162a dataset Centre for Environmental Data Analysis (CEDA) 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-05-06T02:05:34 UK GEMINI 2.3 WGS 84 UKCP09: Met Office gridded land surface climate observations - daily temperature and precipitation at 5km resolution 2017-08-21T11:10:21 publication 2017-08-21T11:10:21 creation https://catalogue.ceda.ac.uk/uuid/319b3f878c7d4cbfbdb356e19d8061d6 319b3f878c7d4cbfbdb356e19d8061d6 Centre for Environmental Data Analysis (CEDA) This dataset contains a set of daily observations of temperature (daily maximum, daily minimum and daily mean temperature) and rainfall (24 hour accumulation) interpolated to a uniform 5km grid resolution covering the period 1960 to 2014. The input station data originate from the Met Office Integrated Data Archive System - MIDAS - a database at the Met Office of observation station data stretching back to the 18th century. (A version of MIDAS is also available through CEDA, although incremental developments to the database such as quality control and data recovery activities may result in some differences compared to the database at the time of production of the UKCP09 data - see linked datasets for access to these equivalent datasets held by CEDA). The input station data used provide observations relating to periods 0900 to 0900 UTC, so the gridded output stored against day "dd" are as follows: • Maximum temperature between 0900 on day dd and 0900 on day dd+1 (normally expect to occur during the afternoon of day dd) • Minimum temperature between 0900 on day dd-1 and 0900 on day dd (normally expect to occur just before dawn on day dd) • Mean temperature that is the average of the maximum and minimum temperature • Rainfall (or rainfall equivalent in cases of frozen precipitation) amount between 0900 day dd and 0900 day dd+1 The gridding process accounts for effects such as latitude, longitude, altitude, coastal influence, and the effect of urban land through the use of normalisation with respect to monthly 1961 – 1990 climate normals, and in the case of temperature, a regression model. The data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications, and a simple timeseries format for users requiring a limited number of points. Met Office author 0370 900 0100 Met Office FitzRoy Road Exeter EX1 3PB enquiries@metoffice.gov.uk author Centre for Environmental Data Analysis (CEDA) custodian 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk custodian Met Office data_owner 0370 900 0100 Met Office FitzRoy Road Exeter EX1 3PB enquiries@metoffice.gov.uk owner Centre for Environmental Data Analysis (CEDA) distributor 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk distributor Hollis, Dan Unavailable principal_investigator Unavailable principalInvestigator Perry, Matthew Unavailable principal_investigator Unavailable principalInvestigator Centre for Environmental Data Analysis (CEDA) point_of_contact 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk pointofContact Met Office point_of_contact 0370 900 0100 Met Office FitzRoy Road Exeter EX1 3PB enquiries@metoffice.gov.uk pointofContact Centre for Environmental Data Analysis (CEDA) publisher 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk publisher notPlanned dataset UKCP09 Met Office land surface climate observations 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 -8.56493 4.41954 49.53098 61.11007 1910-01-01T00:00:00 2016-12-31T23:59:59 The data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications, and a simple timeseries format for users requiring a limited number of points. 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/319b3f878c7d4cbfbdb356e19d8061d6 CEDA Data Catalogue Page Detail and access information for the resource information http://data.ceda.ac.uk/badc/ukcp09/data/gridded-land-obs/gridded-land-obs-daily DOWNLOAD Download Data download http://www.metoffice.gov.uk/climatechange/science/monitoring/ukcp09/methods.html Description of the UKCP09 gridded land surface climate observations production methodology No further details. information http://www.metoffice.gov.uk/climate/uk/data/ukcp09/data-formats Description of the UKCP09 gridded land surface climate observations data formats No further details. information http://www.metoffice.gov.uk/climate/uk/data/ukcp09/datasets Description of UKCP09 gridded land surface climate observations variables No further details. information http://www.metoffice.gov.uk/climate/uk/data/ukcp09/faq FAQ page for UKCP09 gridded land surface climate observations 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 Met Office for the UKCP09 service and then prepared for archiving with Centre for Environmental Data Analysis (CEDA).