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DATASHEET 2: PARAMETERS AND LOCATIONS Postcode Sector Data Postcode Sector Data A seamless set of past weather data and accurate forecasts for your chosen postcode sector. We’ve developed Postcode Sector Data to help you excel in identifying weather impacts on your business and use this actionable

) Local detail (5.1) Info about forecast change (5.1) IMPORTANCE Accuracy (5.1) CRITICAL IMPROVEMENT HIGH Key: (xxx) = mean performance 31% Secured things around the property 17% Stayed in 3% Cancelled a planned activity 3% Changed travel plans 2% Drove more safely 2% Took an umbrella or wore different

August 1979 Severe gales across the United Kingdom 2 January 1976 The Hampstead storm 14 August 1975 Widespread June snowfall 2 June 1975 Great Glasgow storm 15 January 1968 Sheffield gale 16 February 1962 Heavy rainfall across Cornwall and South Wales 8 June 1957 Record 24 hour rainfall 18 July 1955

March 159.3 14 13 8 April 106.7 8 8 3 May 93.7 7 2 0 June 94.2 7 0 0 July 102.3 8 0 0 August 129.5 9 0 0 September 157.9 13 0 0 October 189.1 14 2 1 November 201.2 16 8 5 December 206.2 18 15 12 Long term averages - based on station data between 1991 and 2020 Month Daily rainfall total (mm) Days

of a global average temperature rise of 1°C compared to pre-industrial levels. The Paris Agreement aims to curtail greenhouse gas emissions so that the future global average temperature increase is capped at below 2°C, ideally at the lower limit of 1.5°C. Recent research by the UN suggests that rapid

(black) and our statistical reconstruction (red). The forecast uncertainty range is ± 2 standard deviations.  Also shown are scenarios of the CO2 rise that could be possible if Mount Agung erupts with similar impacts to its previous eruption in 1963 (green) and similar impacts to the 1991 Mount

be related: 1. Planning actions to increase the scalability of the innovation 2. Increasing the capacity of the user organisation 3. Assessing the environment and planning actions to support vertical upscaling 4. Increasing the capacity of the developer team 5. Determining the role of diversification

High-impact lowlikelihood climate scenarios for the UK Scenario Report N.W. Arnell 1 , E. Hawkins 2 , T.G. Shepherd 1 , I.D. Haigh 3 , B. Harvey 2 , L. Wilcox 2 , L. Shaffrey 2 & A.G. Turner 1,2 1 Department of Meteorology, University of Reading 2 National Centre for Atmospheric Sciences

Interpreting climate models Deeper discovery Summer daily maximum temperatures Scenario 1: emissions continue to rise throughout the rest of this century (‘worst case scenario’) Scenario 2: emissions peak around 2080 then decline through the rest of this century Scenario 3: emissions peak around

UKCP18 Guidance: Data availability, table access and formats Contents 1. What data is available for download? 2. Where can you download the data? 3. How do you register for access to the data? 4. Where can you find out more about the underpinning science 5. What are the restrictions on use? 6. What