The highest average temperature recorded in 2024 until November was in August, at 16.8 degrees Celsius. Since 2015, the highest average daily temperature in the UK was registered in July 2018, at 18.7 degrees Celsius. The summer of 2018 was the joint hottest since institutions began recording temperatures in 1910. One noticeable anomaly during this period was in December 2015, when the average daily temperature reached 9.5 degrees Celsius. This month also experienced the highest monthly rainfall in the UK since before 2014, with England, Wales, and Scotland suffering widespread flooding. Daily hours of sunshine Unsurprisingly, the heat wave that spread across the British Isles in 2018 was the result of particularly sunny weather. July 2018 saw an average of 8.7 daily sun hours in the United Kingdom. This was more hours of sun than was recorded in July 2024, which only saw 5.8 hours of sun. Temperatures are on the rise Since the 1960s, there has been an increase in regional temperatures across the UK. Between 1961 and 1990, temperatures in England averaged nine degrees Celsius, and from 2013 to 2022, average temperatures in the country had increased to 10.3 degrees Celsius. Due to its relatively southern location, England continues to rank as the warmest country in the UK.

England's highest monthly mean air temperatures are typically recorded in July and August of each year. Since 2015, the warmest mean temperature was measured in July 2018 at 18.8 degrees Celsius. On the other hand, February of that same year registered the coolest temperature, at 2.6 degrees Celsius. In September 2025, the mean air temperature was 13.8 degrees Celsius, matching the figure recorded the same month the previous year. The English weather England is the warmest region in the United Kingdom and the driest. In 2024, the average annual temperature in England amounted to 10.73 degrees Celsius – around 1.1 degrees above the national mean. That same year, precipitation in England stood at about 1,020 millimeters. By contrast, Scotland – the wettest region in the UK – recorded over 1,500 millimeters of rainfall in 2024. Temperatures on the rise Throughout the last decades, the average temperature in the United Kingdom has seen an upward trend, reaching a record high in 2022. Global temperatures have experienced a similar pattern over the same period. This gradual increase in the Earth's average temperature is primarily due to various human activities, such as burning fossil fuels and deforestation, which lead to the emission of greenhouse gases. This phenomenon has severe consequences, including more frequent and intense weather events, rising sea levels, and adverse effects on human health and the environment.

The monthly mean temperature in the United Kingdom is typically highest in July and August. During this period, the monthly mean temperature peaked in July 2018, at *****degrees Celsius. In September 2025, the UK recorded a mean temperature of **** degrees Celsius, slightly higher than the temperature recorded the same month a year prior.

The annual mean temperature in the United Kingdom has fluctuated greatly since 1990. Temperatures during this period were at their highest in 2022, surpassing ** degrees Celsius. In 2010, the mean annual temperature stood at **** degrees, the lowest recorded during this time. Daily temperatures Average daily temperatures have remained stable since the turn of the century, rarely dropping below ** degrees Celsius. In 2010, they dropped to a low of **** degrees Celsius. The peak average daily temperature was recorded in 2022 when it reached **** degrees. This was an increase of *** degree Celsius compared to the long-term mean, and the most positive deviation during the period of consideration. Highs and lows The maximum average temperature recorded across the UK since 2015 was in July 2018. This month saw a maximum temperature of **** degrees Celsius. In comparison, the lowest monthly minimum temperature was in February of the same year, at just minus *** degrees. This was an especially cold February, as the previous year the minimum temperature for this month was *** degrees.

Monthly temperature deviations from the long-term mean in the United Kingdom have varied greatly in recent years. In August 2025, average temperatures were 1.1 degrees Celsius warmer than the long-term mean. In comparison, temperatures in August 2024 were 0.3 degrees Celsius warmer than the long-term mean. The most notable deviation during this period was in December 2015, when temperatures were 4.3 degrees warmer than normal.

Site specific (293 individual stations) monthly average (1981 - 2010) The data consists of: Max Temp (degrees C) Min Temp (degrees C) Sunshine (hours) Rainfall (mm) Raindays >=1.0mm (days) Days of Air Frost (days) Monthly mean wind speeds at 10m (knots) District and Region monthly average (1961-1990, 1971-2000, 1981-2010) The data consists of: Max Temp (degrees C) Min Temp (degrees C) Sunshine (hours) Rainfall (mm) Raindays >=1.0mm (days) Days of Air Frost (days) UK monthly average (1961-1990, 1971-2000, 1981-2010) The data consists of: Max Temp (degrees C) Min Temp (degrees C) Sunshine (hours) Rainfall (mm) Raindays >=1.0mm (days) Days of Air Frost (days)

This file contains average rainfall (mm) and average temperature (centigrade) for the North East England and East England for period 2010-2019.

This dataset shows the average rainfall in millimeters and average temperature in centigrade by month, year, and meteorological season. It also has an annual figure for each year.

The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2023. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record.

This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2023.

This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection.

Copyright Notice & Acknowledgements

All information regarding MET Office copyright policy can be found at: https://www.metoffice.gov.uk/about-us/legal#licences All data was sourced from: https://www.metoffice.gov.uk/research/climate/maps-and-data/historic-station-data

Context

The MET Office has been responsible for monitoring UK Weather since it's inception in 1854. 36 stations in the UK (often located in RAF bases) gather information that is used to predict future weather patterns and issue public advice. More recently, these large datasets have become useful to investigate how the UK climate has changed over the past 150+ years.

Content

Columns: - year: Year in which the measurements were taken - month: Month in which the measurements were taken - tmax: Mean daily maximum temperature (°C) - tmin: Mean daily minimum temperature (°C) - af: Days of air frost recorded that month (days) - rain: Total rainfall (mm) - sun: Total sunshine duration (hours) - station: Station location where measurement was recorded

Data was collected from the MET Office website as separate station csv files and combined to one data frame with a station label assigned. All characters (*,#,---) that denoted things such as the equipment used were removed from the set. Some sections include significant amounts of NA values. Note that a 0 entry does not denote an NA value but a score of 0 in that measured field.

Inspiration

Has the UK climate changed since the Victorian era? How does any climate change impact the UK in terms of weather risks? Are some regions more affected than others?

A good starting point: The monthly mean temperature is calculated from the average of the mean daily maximum and mean daily minimum temperature i.e. (tmax+tmin)/2.

Monthly Rainfall and Temperatures (UK)

Met Office Climate District

By data.world's Admin [source]

About this dataset

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How to use the dataset

To use this dataset, start by making sure you are familiar with the following fields: OrganisationName, OrganisationCode, PublishedDate, DurationFrom (start date of reported period), DurationTo (end date of reported period), LatestData (indicating if latest available data is provided or not), GeoName (name of geographical area being reported on), ReportingPeriodType (type of reporting period i.e monthly/yearly/seasonal etc.), Year, Rainfallmm(average rainfall in millimeters), Temp(average temperature in centigrade), Dataset Name(name of the dataset provided). These are all important pieces of information that must be known before delving into the other columns.

Research Ideas

• Developing predictive models for drought and flooding with the help of average temperature and rainfall data
• Producing reports to inform farmers on various farming activities that need to be done depending on the climate conditions in the region
• Creating visualizations which can compare historical trends of average temperature and rainfall in different regions

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: average-rainfall-temperature-1.csv | Column name | Description | |:------------------------|:--------------------------------------------------------------------------------| | OrganisationName | Name of the organisation providing the data. (String) | | OrganisationCode | Code associated with the name of the organisation providing the data. (String) | | PublishedDate | Date when that particular set of data was published. (Date) | | DurationFrom | Start date of that respective period. (Date) | | DurationTo | End date of the respective period. (Date) | | LatestData | It specifies whether or not that particular set is available to you. (Boolean) | | GeoName | Place/location where these climatic conditions exists. (String) | | ReportingPeriodType | Specifies whether it is a monthly/yearly report. (String) | | Year | Indicates year for which these statistical values have been obtained. (Integer) | | Rainfallmm | Average rainfall in millimetres during specified period. (Float) | | Temp | Average temperature in centigrade during specified period. (Float) |

File: average-rainfall-temperature-metatdata-2.csv | Column name | Description | |:--------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Dataset Name | Name of the dataset. (String) | | Field | Details a certain aspect or parameter amongst numerous parameters present within a resultset. (String) | | Type | Whether its Numerical value or DoT notation. (String) | | Mandatory or Optional requirement (MOR) | This field tells us if we require anything specific while submitting our queries. (String) | | Field Description | A brief overvie...

What does the data show?

This data shows the monthly averages of surface temperature (°C) for 1981-2010 from CRU TS (v. 4.06) dataset. It is provided on the WGS84 grid which measures approximately 60km x 60km (latitude x longitude) at the equator. This is the same as the 60km grid used by UKCP18 global datasets.

What are the naming conventions and how do I explore the data?

This data contains a field for each month’s average over the period. They are named 'tas' (temperature at surface) and the month. E.g. ‘tas March’ is the average of the daily average surface air temperatures in March throughout 1981-2010.

To understand how to explore the data, see this page: https://storymaps.arcgis.com/stories/457e7a2bc73e40b089fac0e47c63a578

Please note, if viewing in ArcGIS Map Viewer, the map will default to ‘tas January’ values.

Data source

CRU TS v. 4.06 - (downloaded 12/07/22)

Useful links

Further information on CRU TS Further information on understanding climate data within the Met Office Climate Data Portal

Average Rainfall (mm) and average Temperature (centigrade) for the North East England and East England Met Office Climate district, which includes Lincolnshire.

This dataset shows the average Rainfall in millimetres and average Temperature in centigrade, by month, meteorological season, and annual calendar year.

The data is sourced from the UK Met Office website. See the Source link for more information about the data and the area it covers.

This file is based on the new high-resolution Berkeley Earth global temperature data set. It expands upon the previous Berkeley Earth temperature data set by including predictive structures based on historical weather patterns and increasing the underlying resolution to 0.25° x 0.25° latitude-longitude.

Files based on this new data set are being provided as part of an early preview to aid in the identification of any remaining bugs or errors. While, we believe the current data set to be accurate and useful, it is still in development and substantial revisions remain possible if significant issues are identified.

This file contains a detailed summary of the changes in Earth's global average surface temperature estimated by combining the new high-resolution Berkeley Earth land-surface temperature field with a reinterpolated version of the HadSST4 ocean temperature field.

As a preliminary data product, no citation for this work currently exists.

This global data product merges land-surface air temperatures with ocean sea surface water temperatures. For most of the ocean, sea surface temperatures are similar to near-surface air temperatures; however, air temperatures above sea ice can differ substantially from the water below the sea ice. In sea ice regions, temperature anomalies are extrapolated from the land-surface air temperatures when ice is present, and from the ocean temperatures when ice is absent.

The percent coverage of sea ice was taken from the HadISST v2 dataset and varies by month and location. In the typical month, between 3.5% and 5.5% of the Earth's surface is covered with sea ice. For more information on the processing and use of HadISST and HadSST refer to the description file for the combined gridded data product.

Temperature data contributing to this analysis include (but are not limited to):

GHCN-Monhtly v4, Menne et al. 2018, https://doi.org/10.1175/JCLI-D-18-0094.1

Global Summary of the Day, https://www.ncei.noaa.gov/products/global-summary-day MET-Reader, Scientific Committee for Antaractic Research, British Antarctic Survey, https://legacy.bas.ac.uk/met/READER/ HADSST4, Kennedy et al. 2019, https://doi.org/10.1029/2018JD029867

Ice mask data comes from:

HadISST2, Titcher and Rayner 2014, https://doi.org/10.1002/2013JD020316 Sea Ice Index, NSIDC, https://nsidc.org/data/g02135/versions/3

High-resolution downscaling algorithms were trained using high-resolution data, though none of this data is used directly in the reconstruction. High-resolution datasets used in training include:

ERA5 from the Copernicus Climate Change Service, Hersbach et al. (2018), http://doi.org/10.24381/cds.adbb2d47 https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels

The above list of data sources is only a partial list. For a more complete set of references please refer to Berkeley Earth's previous description papers.

Temperatures are in Celsius and reported as anomalies relative to the Jan 1951-Dec 1980 average. Uncertainties represent the 95% confidence interval for statistical and spatial undersampling effects as well as ocean biases.

The land analysis was run on 06-Mar-2023 02:09:12 The ocean analysis was published on 13-Mar-2023 02:52:51

The land component is based on 50498 time series with 21081445 monthly data points

The ocean component is based on 456950592 instantaneous water temperature observations

Estimated Jan 1951-Dec 1980 global mean temperature (°C): 14.148 +/- 0.019

As Earth's land is not distributed symmetrically about the equator, there exists a mean seasonality to the global average temperature.

Estimated Jan 1951-Dec 1980 monthly absolute temperature: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 12.31 12.52 13.15 14.07 15.01 15.68 15.91 15.72 15.17 14.30 13.33 12.59 +/- 0.03 0.03 0.03 0.03 0.03 0.03 0.02 0.02 0.03 0.02 0.03 0.03

For each month, we report the estimated global surface temperature anomaly for that month and its uncertainty. We also report the corresponding values for 12-month, five-year, ten-year, and twenty-year moving averages CENTERED about that month (rounding down if the center is in between months). For example, the annual average from January to December 1950 is reported at June 1950.

What does the data show?

This data shows the monthly averages of surface temperature (°C) for 2040-2069 using a combination of the CRU TS (v. 4.06) and UKCP18 global RCP2.6 datasets. The RCP2.6 scenario is an aggressive mitigation scenario where greenhouse gas emissions are strongly reduced.

The data combines a baseline (1981-2010) value from CRU TS (v. 4.06) with an anomaly from UKCP18 global. Where the anomaly is the change in temperature at 2040-2069 relative to 1981-2010.

The data is provided on the WGS84 grid which measures approximately 60km x 60km (latitude x longitude) at the equator.

Limitations of the data

We recommend the use of multiple grid cells or an average of grid cells around a point of interest to help users get a sense of the variability in the area. This will provide a more robust set of values for informing decisions based on the data.

What are the naming conventions and how do I explore the data?

This data contains a field for each month’s average over the period. They are named 'tas' (temperature at surface), the month and ‘upper’ ‘median’ or ‘lower’. E.g. ‘tas Mar Lower’ is the average of the daily average temperatures in March throughout 2040-2069, in the second lowest ensemble member.

To understand how to explore the data, see this page: https://storymaps.arcgis.com/stories/457e7a2bc73e40b089fac0e47c63a578

Please note, if viewing in ArcGIS Map Viewer, the map will default to ‘tas Jan Median’ values.

What do the ‘median’, ‘upper’, and ‘lower’ values mean?

Climate models are numerical representations of the climate system. To capture uncertainty in projections for the future, an ensemble, or group, of climate models are run. Each ensemble member has slightly different starting conditions or model set-ups. Considering all of the model outcomes gives users a range of plausible conditions which could occur in the future.

To select which ensemble members to use, the monthly averages of surface temperature for the period 2040-2069 were calculated for each ensemble member and they were then ranked in order from lowest to highest for each location.

The ‘lower’ fields are the second lowest ranked ensemble member. The ‘upper’ fields are the second highest ranked ensemble member. The ‘median’ field is the central value of the ensemble.

This gives a median value, and a spread of the ensemble members indicating the range of possible outcomes in the projections. This spread of outputs can be used to infer the uncertainty in the projections. The larger the difference between the lower and upper fields, the greater the uncertainty.

Data source

CRU TS v. 4.06 - (downloaded 12/07/22)

UKCP18 v.20200110 (downloaded 17/08/22)

Useful links

Further information on CRU TS Further information on the UK Climate Projections (UKCP) Further information on understanding climate data within the Met Office Climate Data Portal

What does the data show?

This data shows monthly averages of surface temperature (°C) for 2050-2079 from the UKCP18 regional climate projections. The data is for the high emissions scenario (RCP8.5).

Limitations of the data

We recommend the use of multiple grid cells or an average of grid cells around a point of interest to help users get a sense of the variability in the area. This will provide a more robust set of values for informing decisions based on the data.

What are the naming conventions and how do I explore the data?

This data contains a field for the average over the period. They are named 'tas' (temperature at surface), the month, and 'upper' 'median' or 'lower'. E.g. 'tas July Median' is the median value for July.

To understand how to explore the data, see this page: https://storymaps.arcgis.com/stories/457e7a2bc73e40b089fac0e47c63a578

Please note, if viewing in ArcGIS Map Viewer, the map will default to ‘tas January Median’ values.

What do the ‘median’, ‘upper’, and ‘lower’ values mean?

Climate models are numerical representations of the climate system. To capture uncertainty in projections for the future, an ensemble, or group, of climate models are run. Each ensemble member has slightly different starting conditions or model set-ups. Considering all of the model outcomes gives users a range of plausible conditions which could occur in the future.

For this dataset, the model projections consist of 12 separate ensemble members. To select which ensemble members to use, the monthly averages of temperature for 2050-2079 were calculated for each ensemble member and they were then ranked in order from lowest to highest for each location.

The ‘lower’ fields are the second lowest ranked ensemble member. The ‘upper’ fields are the second highest ranked ensemble member. The ‘median’ field is the central value of the ensemble.

This gives a median value, and a spread of the ensemble members indicating the range of possible outcomes in the projections. This spread of outputs can be used to infer the uncertainty in the projections. The larger the difference between the lower and upper fields, the greater the uncertainty.

Data source

tas_rcp85_land-rcm_uk_12km_12_mon-30y_200912-207911.nc (median)

tas_rcp85_land-rcm_uk_12km_05_mon-30y_200912-207911.nc (lower)

tas_rcp85_land-rcm_uk_12km_04_mon-30y_200912-207911.nc (upper)

UKCP18 v20190731 (downloaded 04/11/2021)

Useful links

Further information on the UK Climate Projections (UKCP). Further information on understanding climate data within the Met Office Climate Data Portal

HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. These 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2021, but the start time is dependent on climate variable and temporal resolution.

The gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.

This data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).

The changes for v1.1.0.0 HadUK-Grid datasets are as follows:

• The addition of data for calendar year 2021

• The addition of 30 year averages for the new reference period 1991-2020

• An update to 30 year averages for 1961-1990 and 1981-2010. This is an order of operation change. In this version 30 year averages have been calculated from the underlying monthly/seasonal/annual grids (grid-then-average) in previous version they were grids of interpolated station average (average-then-grid). This order of operation change results in small differences to the values, but provides improved consistency with the monthly/seasonal/annual series grids. However this order of operation change means that 1961-1990 averages are not included for sfcWind or snowlying variables due to the start date for these variables being 1969 and 1971 respectively.

• A substantial new collection of monthly rainfall data have been added for the period before 1960. These data originate from the rainfall rescue project (Hawkins et al. 2022) and this source now accounts for 84% of pre-1960 monthly rainfall data, and the monthly rainfall series has been extended back to 1836.

Net changes to the input station data used to generate this dataset:

-Total of 122664065 observations

-118464870 (96.5%) unchanged

-4821 (0.004%) modified for this version

-4194374 (3.4%) added in this version

-5887 (0.005%) deleted from this version

The primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project "Analysis of historic drought and water scarcity in the UK"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence.

The wettest months in the United Kingdom tend to be at the start and end of the year. In the period of consideration, the greatest measurement of rainfall was nearly 217 millimeters, recorded in December 2015. The lowest level of rainfall was recorded in April 2021, at 20.6 millimeters. Rainy days The British Isles are known for their wet weather, and in 2024 there were approximately 164 rain days in the United Kingdom. A rainday is when more than one millimeter of rain falls within a day. Over the past 30 years, the greatest number of rain days was recorded in the year 2000. In that year, the average annual rainfall in the UK amounted to 1,242.1 millimeters. Climate change According to the Met Office, climate change in the United Kingdom has resulted in the weather getting warmer and wetter. In 2022, the annual average temperature in the country reached a new record high, surpassing 10 degrees Celsius for the first time. This represented an increase of nearly two degrees Celsius when compared to the annual average temperature recorded in 1910. In a recent survey conducted amongst UK residents, almost 80 percent of respondents had concerns about climate change.

Monthly averages of precipitation (mm/day) for 2050-2079 from UKCP18 regional projections (12km grid), using the RCP8.5 pathway.This data contains a field for each month’s average over the period. They are named 'pr' (precipitation), the month, and 'upper' 'median' or 'lower' as per the description below. E.g. 'pr July Median'.UKCP: https://www.metoffice.gov.uk/research/approach/collaboration/ukcp/indexWhat is the data?The data is from the UKCP18 regional projections using the RCP8.5 scenario. RCP8.5 is the highest of the plausible future emissions scenarios used by the IPCC, sometimes referred to as 'business as usual'.What do the 'median', 'upper', and 'lower' values mean?This scenario is run as 12 separate ensemble members. To select which ensemble members to use, a single value for the mean UK precipitation for the period 2050-2079 was taken from each ensemble member. They were then ranked in order from lowest precipitation to highest. The 'lower' fields are this data is the second lowest ranked ensemble member. The 'higher' fields are the second highest ranked ensemble member. The 'median' fields are the central (7th) ranked ensemble member.This gives a median value, and a spread of the ensemble members indicating the level of uncertainty in the projections.Recommendations for use of this data:1. We don't recommend using this data at the resolution of a single cell.The higher resolution of this data improves representation of topography, coasts, etc. but at the same time increases some of the uncertainty for individual grid cells. And so it is recommended to work with multiple grid cells, or an average of grid cells around a point to improve certainty.2. Consider whether the lower, median, or upper projections, or a combination, are most suitable for your use case.As described above, the spread of the ensemble members shown by the lower, median, and upper values indicates the level of uncertainty in the projections.Data source:pr_rcp85_land-rcm_uk_12km_12_mon-30y_200912-207911.nc (median)pr_rcp85_land-rcm_uk_12km_05_mon-30y_200912-207911.nc (lower)pr_rcp85_land-rcm_uk_12km_04_mon-30y_200912-207911.nc (upper)UKCP18 v20190731 (downloaded 04/11/2021)This dataset forms part of the Met Office’s Climate Data Portal service. This service is currently in Beta. We would like your help to further develop our service, please send us feedback via the site - https://climate-themetoffice.hub.arcgis.com/

UKCP09 Regional values Monthly Averages - Mean air temperature (°C) Long-term averages for the 1961-1990 climate baseline are also available for 14 administrative regions and 23 river basins. They have been produced for all the monthly and annual variables, apart from mean wind speed, days of sleet/snow falling, and days of snow lying, for which data start after 1961. Each regional value is an average of the 5 x 5 km grid cell values that fall within it. The datasets are provided as space-delimited text files.

The datasets have been created with financial support from the Department for Environment, Food and Rural Affairs (Defra) and they are being promoted by the UK Climate Impacts Programme (UKCIP) as part of the UK Climate Projections (UKCP09). http://ukclimateprojections.defra.gov.uk/content/view/12/689/.

The data files are obtained by clicking on the links in the table below. Each text file contains values of the 1961-1990 baseline average for each administrative region and for each river basin. Monthly variables have 12 values for each region (one for each month) whereas annual variables have just one value (the annual average).

To view this data you will have to register on the Met Office website, here: http://www.metoffice.gov.uk/climatechange/science/monitoring/ukcp09/gds_form.html.