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and is useful for assessing any systematic model bias. It can be seen that the observations largely lie within this ensemble spread, except perhaps for temperature in spring where there is some suggestion that UKCP Local projections are slightly too cool. There are also consistent trends across all

different types of weather. Lying snow can prevent staff entering or leaving a site, fog and low cloud can limit visibility and ice and flooding can prevent the use of both public and site roads. Equipment and infrastructure such as turbine blades or power lines can be damaged by ice, plus

produced for each simulation separately shows lines that lie close to the diagonal, which indicates that the modelled distribution compares well with the observed one. Hence, on the basis of this assessments, the models are deemed suitable for an attribution analysis of extreme heatwaves in the reference

duration 300 Ground frost 340 Pressure and humidity 85 Wind speed (1969-2000) 100 Snow lying (1971-2000) 460 Why are there no data before 1961 for many variables. To create gridded data sets, observations from an evenly distributed network of stations are needed in digital format. For many climate

) in the local electron density. L5 L1 and dynamics of such features using coronagraph images and we will also compile J-maps (Figure 5; see also Wang et al., 2000; Davies et al., 2009). As a starting point for the data base of Earth CONLUSIONS • Main advantages of L5 Space Weather mission lies in L5 remote

al., 2013). The observed temperature trend is within the range of the ALL simulations (Fig. 2, top panel). Power spectra also indicate good consistency between the models and CRUTEM5 (middle panel). The Q-Q plot produced for each simulation separately shows lines that lie close to the diagonal, which

and CRUTEM5 (middle panel). The Q-Q plot produced for each simulation separately shows lines that lie close to the diagonal, which indicates that the modelled distribution compares well with 2 the observed one. Hence, on the basis of this assessments, the models are deemed suitable for an attribution

when records are broken?   The answer lies in a Met Office dataset that's been quietly mapping our weather history for around the last two centuries.      Provisional Feb 2026  stats Mean temp (°C) Rainfall (mm/%) Sunshine (hours/ %) Actual 91/20 anom Actual 91/20 anom Actual 91/20 anom UK 5.6 1.5

separately shows lines that lie close to the diagonal, which indicates that the modelled distribution compares well with the observed one. Hence, on the basis of this assessments, the models are deemed suitable for an attribution analysis of extreme heatwaves in the reference region. 2 Figure 2

separately shows lines that lie close to the diagonal, which indicates that the modelled distribution compares well with the observed one. Hence, on the basis of this assessments, the models are deemed suitable for an attribution analysis of extreme heatwaves in the reference region. 2 Figure 2