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Dataset

 

Crowd-Grid Gridded Climate Observations on a 1km grid over the UK (2013-2024, v1.0, prototype)

Update Frequency: Not Planned
Latest Data Update: 2025-12-11
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2025-12-18
DOI Publication Date: 2025-12-18
Download Stats: last 12 months
Dataset Size: 8.77K Files | 86GB

Abstract

The Crowd-Grid dataset comprises daily maximum/minimum temperature grids spanning the period 01/01/2013 to 31/12/2024 at 1km resolution for the UK. Crowd-Grid uses crowdsourced observations from WOW (the UK Met Office Weather Observation Website) and other sources to give a more detailed view of the temperatures people experience, including in built-up areas.

This dataset differs from and complements the "standard" gridded dataset, HadUK-Grid, the Met Office’s official climate record. HadUK-Grid uses the Met Office's network of calibrated instruments to give the UK's official record of temperature and is typically representative of grassy fields and parks. Crowd-Grid adds crowdsourced observations to give a more detailed view of the temperatures people experience, including in built-up areas.

For further details on the dataset and its interpretation, refer to the provided README (doi:10.5281/zenodo.17787357).

Citable as:  Met Office (2025): Crowd-Grid Gridded Climate Observations on a 1km grid over the UK (2013-2024, v1.0, prototype). NERC EDS Centre for Environmental Data Analysis, 18 December 2025. doi:10.5285/1ee84eb83cf8406e8ec86f914aaf172d. https://dx.doi.org/10.5285/1ee84eb83cf8406e8ec86f914aaf172d

Abbreviation: Not defined
Keywords: Met Office, Land Surface, Climate Observations, MIDAS, WOW, UK, Meteorology, Temperature, Daily, Diurnal

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
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 provided by the UK Met Office for archiving in the Centre for Environmental Data Analysis (CEDA) archives.

Data Quality:
This is a prototype. The information in this product is high-quality and has been subject to a rigorous quality assurance process. However, the form of the product and how it is published are subject to change.
File Format:
Data are NetCDF formatted

Process overview

This dataset was generated by the computation detailed below.
Title

Crowd-Grid gridded climate observations methodology

Abstract

The gridded dataset uses observations from the Met Office's Weather Observation Website (WOW) and other sources, in addition to observations from official Met Office stations, to give a more detailed view of the temperatures people experience, including in built-up areas. Regression and inverse-distance weighted interpolation are used to generate values on a regular 1km grid from the irregularly spaced observations, taking into account factors such as latitude and longitude, altitude, coastal influence, and urban land use.

The methods used are an adaptation of the foundational methods described in Hollis et al. (2019) doi:10.1002/gdj3.78. For details on the modifications, refer to Mitchell & Fry (2024) doi:10.1002/joc.8390. An accompanying README describes the sources, processing, interpretation, and guidance for proper use of the grids (doi:10.5281/zenodo.17787357)

Input Description

None

Output Description

None

Software Reference

None

  • standard_name: air_temperature
  • units: degC
  • long_name: Daily maximum air temperature
  • var_id: daily_maxtemp
  • standard_name: air_temperature
  • units: degC
  • long_name: Daily minimum air temperature
  • var_id: daily_mintemp
  • units: m
  • standard_name: projection_x_coordinate
  • var_id: projection_x_coordinate
  • var_id: projection_x_coordinate_bnds
  • units: m
  • standard_name: projection_y_coordinate
  • var_id: projection_y_coordinate
  • var_id: projection_y_coordinate_bnds
  • var_id: time_bnds
  • var_id: transverse_mercator

Co-ordinate Variables

  • standard_name: time
  • var_id: time
  • units: hours
Coverage
Temporal Range
Start time:
2013-01-01T00:00:00
End time:
2024-12-31T00:00:00
Geographic Extent

 
60.8600°
 
-12.6100°
 
4.5900°
 
48.8300°