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UKCP09: Met Office gridded land surface climate observations - daily temperature and precipitation at 5km resolution

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.

Simple

Date (Publication)
2017-08-21T11:10:21
Date (Creation)
2017-08-21T11:10:21
Identifier
https://catalogue.ceda.ac.uk/uuid/319b3f878c7d4cbfbdb356e19d8061d6
Identifier
Centre for Environmental Data Analysis (CEDA) / 319b3f878c7d4cbfbdb356e19d8061d6
Author
  Met Office - author
Met Office , FitzRoy Road , Exeter , EX1 3PB ,
0370 900 0100
Custodian
  Centre for Environmental Data Analysis (CEDA) - custodian
Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom
01235446432
Owner
  Met Office - data_owner
Met Office , FitzRoy Road , Exeter , EX1 3PB ,
0370 900 0100
Distributor
  Centre for Environmental Data Analysis (CEDA) - distributor
Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom
01235446432
Principal investigator
  Unavailable - Hollis, Dan ( principal_investigator )
Principal investigator
  Unavailable - Perry, Matthew ( principal_investigator )
pointofContact
  Centre for Environmental Data Analysis (CEDA) - point_of_contact
Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom
01235446432
pointofContact
  Met Office - point_of_contact
Met Office , FitzRoy Road , Exeter , EX1 3PB ,
0370 900 0100
Publisher
  Centre for Environmental Data Analysis (CEDA) - publisher
Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom
01235446432
Maintenance and update frequency
notPlanned Not planned
Update scope
dataset Dataset
Keywords
  • UKCP09
  • Met Office
  • land surface
  • climate observations
GEMET - INSPIRE themes, version 1.0
  • atmospheric conditions
Access constraints
otherRestrictions Other restrictions
Other constraints
Public data: access to these data is available to both registered and non-registered users.
Use constraints
otherRestrictions 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 Grid
Metadata language
EnglishEnglish
Topic category
  • Climatology, meteorology, atmosphere
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Begin date
1910-01-01T00:00:00
End date
2016-12-31T23:59:59
Unique resource identifier
WGS 84
Distribution format
  • 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. ()

Distributor
  Centre for Environmental Data Analysis (CEDA) - Data Center Contact
Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom
01235446432
OnLine resource
CEDA Data Catalogue Page

Detail and access information for the resource

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OnLine resource
Description of the UKCP09 gridded land surface climate observations production methodology

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OnLine resource
Description of the UKCP09 gridded land surface climate observations data formats

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OnLine resource
Description of UKCP09 gridded land surface climate observations variables

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OnLine resource
FAQ page for UKCP09 gridded land surface climate observations

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Hierarchy level
dataset Dataset

Conformance result

Date (Publication)
2010-12-08
Statement
Data were produced by the Met Office for the UKCP09 service and then prepared for archiving with Centre for Environmental Data Analysis (CEDA).
File identifier
319b3f878c7d4cbfbdb356e19d8061d6 XML
Metadata language
EnglishEnglish
Character set
8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 UTF8
Parent identifier
UKCP09: Met Office gridded and regional land surface climate observation datasets 87f43af9d02e42f483351d79b3d6162a
Hierarchy level
dataset Dataset
Date stamp
2025-06-18T02:05:26
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  Centre for Environmental Data Analysis (CEDA)
Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom
01235446432
 
 

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Spatial extent

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Keywords

GEMET - INSPIRE themes, version 1.0
atmospheric conditions

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