{"id":6943,"date":"2026-06-02T20:01:54","date_gmt":"2026-06-02T19:01:54","guid":{"rendered":"https:\/\/marriott-stats.com\/nigels-blog\/?p=6943"},"modified":"2026-06-02T20:04:06","modified_gmt":"2026-06-02T19:04:06","slug":"uk-weather-trends-spring-2026","status":"publish","type":"post","link":"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-spring-2026\/","title":{"rendered":"UK Weather Trends #41 &#8211; Spring 2026"},"content":{"rendered":"<p>Spring 2026 in the UK was the 3rd hottest record with nearly all regions in England recording their hottest ever spring.\u00a0 The heatwave at the end of May (whilst I was out of the country!) <a href=\"https:\/\/www.bbc.co.uk\/news\/articles\/clypp7ljvpvo\" target=\"_blank\" rel=\"noopener\">set new records for maximum temperature<\/a> but all 3 months of the season were well above normal.\u00a0 Whilst it was also the 3rd sunniest spring on record, rainfall was entirely normal for the season.<\/p>\n<p><!--more--><\/p>\n<p>Meteorologists define spring in the UK to be the period from March to May so spring is now over and we are officially in summer.<\/p>\n<p>I analyse the long term trends in the UK weather using a statistical tool known as <a href=\"https:\/\/en.wikipedia.org\/wiki\/Standard_score\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>Standardisation<\/strong><\/a>.\u00a0 This means that the 3 key variables of Temperature, Sunshine and Rainfall are recalculated so that they all have the same units, which is number of standard deviations above or below the mean.\u00a0 Such variables are known as <strong>Z-Scores<\/strong>\u00a0which by definition will have a mean value of <strong>0<\/strong> and a standard deviation of <strong>1<\/strong>.\u00a0 For more information on how I have done this, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-2-summer-2017\/\" target=\"_blank\" rel=\"noopener noreferrer\">please read my post on trends in the UK summer of 2017.<\/a><\/p>\n<p>&nbsp;<\/p>\n<h4><span style=\"color: #008000;\"><strong>Latest Z-Scores<\/strong><\/span><\/h4>\n<p>The Z-Scores for Temperature, Sunshine and Rainfall are shown in the 3 charts below.\u00a0 Each chart also contains an 11-year centred moving average which gives an idea of the underlying trend.<\/p>\n<p><span style=\"color: #993300;\"><em>** NEW as of Spring 2024 &#8211; I have added the Z-Score plot for <strong>Rain Intensity<\/strong> since the Met Office has released more historical data.\u00a0 Rain Intensity is the average rainfall per rainy day as opposed to rainfall per day shown in the Rainfall chart.\u00a0 I use this variable as a proxy for how stormy or calm the weather has been.\u00a0 For now, I do not include rain intensity in my analysis of long term trends.\u00a0<\/em><\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-6926 aligncenter\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR1-scaled.png\" alt=\"\" width=\"797\" height=\"347\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR1-scaled.png 2560w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR1-300x131.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR1-1024x446.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR1-768x334.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR1-1536x669.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR1-2048x892.png 2048w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR1-450x196.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR1-1320x575.png 1320w\" sizes=\"auto, (max-width: 797px) 100vw, 797px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-6927 aligncenter\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR2-scaled.png\" alt=\"\" width=\"798\" height=\"347\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR2-scaled.png 2560w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR2-300x130.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR2-1024x445.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR2-768x334.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR2-1536x667.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR2-2048x889.png 2048w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR2-450x195.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR2-1320x573.png 1320w\" sizes=\"auto, (max-width: 798px) 100vw, 798px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-6928 aligncenter\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR3-scaled.png\" alt=\"\" width=\"798\" height=\"347\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR3-scaled.png 2560w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR3-300x130.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR3-1024x445.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR3-768x334.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR3-1536x667.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR3-2048x889.png 2048w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR3-450x195.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR3-1320x573.png 1320w\" sizes=\"auto, (max-width: 798px) 100vw, 798px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-6929 aligncenter\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR4-scaled.png\" alt=\"\" width=\"798\" height=\"347\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR4-scaled.png 2560w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR4-300x130.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR4-1024x445.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR4-768x334.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR4-1536x667.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR4-2048x889.png 2048w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR4-450x195.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR4-1320x573.png 1320w\" sizes=\"auto, (max-width: 798px) 100vw, 798px\" \/><\/p>\n<p>Standardised variables aid interpretation of data in many ways.\u00a0 If the standardised value is positive, it means that the value is above your average or expected value.\u00a0 If it is negative, then the value is below your expected value. \u00a0If the original variable is approximately normal in its distribution then the vertical scale gives us an idea of how typical or atypical each year is.\u00a0 Z-Scores in the range <span style=\"color: #ff0000;\"><strong>-1<\/strong><\/span> to<strong> +1<\/strong> are considered typical values and completely unremarkable.\u00a0 Z-scores in the ranges <span style=\"color: #ff0000;\"><strong>-2<\/strong><\/span> to<span style=\"color: #ff0000;\"><strong> -1<\/strong><\/span> and <strong><span style=\"color: #000000;\">+1<\/span><\/strong> to <strong>+2<\/strong> are considered to be uncommon values but still entirely plausible and such values should not cause us concern.\u00a0 When Z-Scores get into the ranges <span style=\"color: #ff0000;\"><strong>-3<\/strong><\/span> to <strong><span style=\"color: #ff0000;\">-2<\/span><\/strong> and <strong>+2<\/strong> to <strong>+3<\/strong>, we should start paying closer attention and asking ourselves if something has changed especially if we get a sequence of successive points in these ranges. Finally, if the Z-scores are less than <span style=\"color: #ff0000;\"><strong>-3<\/strong> <\/span>or greater than <strong>+3<\/strong>, that is normally regarded as a clear call to action.<\/p>\n<p>There are in fact many ways of interpreting Z-Scores and\u00a0what I have said so far\u00a0merely a gives an overview of the most basic interpretations.\u00a0 A whole field of study known as <a href=\"https:\/\/en.wikipedia.org\/wiki\/Statistical_process_control\">Statistical Process Control (SPC) <\/a>is dedicated to building and interpreting such charts (known as Control Charts) and you can see me use a control chart in <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-2022-meteorological-year\/\" target=\"_blank\" rel=\"noopener\">my review of 2022 UK annual temperatures<\/a> to decide if the UK was about to start a new warming phase.<\/p>\n<p><span style=\"float: none; background-color: transparent; color: #333333; cursor: text; font-family: Georgia,'Times New Roman','Bitstream Charter',Times,serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; text-align: left; text-decoration: none; text-indent: 0px;\">For the spring of 2026, the z-scores for temperature, sunshine and rainfall were respectively <strong>+1.7<\/strong>, <strong>+2.5<\/strong>\u00a0and <\/span><span style=\"float: none; background-color: transparent; color: #333333; cursor: text; font-family: Georgia,'Times New Roman','Bitstream Charter',Times,serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; text-align: left; text-decoration: none; text-indent: 0px;\"><span style=\"color: #000000;\"><b>-0.7<\/b><\/span><\/span><span style=\"float: none; background-color: transparent; color: #333333; cursor: text; font-family: Georgia,'Times New Roman','Bitstream Charter',Times,serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; text-align: left; text-decoration: none; text-indent: 0px;\">.\u00a0 This tells us the season was unusually warm and sunny but unremarkable in terms of rainfall.\u00a0 It was in fact both the 3rd sunniest and 3rd warmest spring on record.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h4><span style=\"color: #008000;\"><strong>Long Term Climate Trends<\/strong><\/span><\/h4>\n<p>Since the 3 moving averages in the above 3 charts all use the same units, they can be plotted onto the same chart as below.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-6930 aligncenter\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR5-scaled.png\" alt=\"\" width=\"893\" height=\"389\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR5-scaled.png 2560w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR5-300x131.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR5-1024x446.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR5-768x334.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR5-1536x669.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR5-2048x892.png 2048w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR5-450x196.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR5-1320x575.png 1320w\" sizes=\"auto, (max-width: 893px) 100vw, 893px\" \/><\/p>\n<p>This clearly shows a shift in our spring climate over the last 100 years of up to <b>2<\/b>\u00a0standard deviations for all 3 variables.\u00a0 Recall that the baseline for the z-score calculation is based on the idea of &#8220;living memory&#8221; which I have defined to be the last <strong>50<\/strong> years of <strong>1976<\/strong>\u00a0to <strong>2025<\/strong>.\u00a0 We can characterise our springs broadly as follows:<\/p>\n<ul>\n<li>1885-1900 &#8211; cool and dry<\/li>\n<li>1900-1925 &#8211; cool and normal rainfall<\/li>\n<li>1925-1940 &#8211; cool, dry and dark<\/li>\n<li>1940-1960 &#8211; sunny, dry and normal temperature<\/li>\n<li>1960-1990 &#8211; cool, dark and normal rainfall.<\/li>\n<li>1995-today &#8211; warm, sunny and normal rainfall springs.<\/li>\n<\/ul>\n<p>So Spring 2026 being warm &amp; sunny but drier than normal is still consistent with these trends.<\/p>\n<p>&nbsp;<\/p>\n<h4><span style=\"color: #008000;\"><strong>How many dimensions does Spring have?<\/strong><\/span><\/h4>\n<p>The long term trends chart above suggests that the z-scores for temperature, sunshine and rainfall all appear to be correlated.\u00a0 In fact this can be illusory as the above chart uses moving averages.\u00a0 If we look at the actual z-scores, we can see what the correlations are in the 3 scatter plots below.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-6931 aligncenter\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR6-scaled.png\" alt=\"\" width=\"2560\" height=\"667\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR6-scaled.png 2560w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR6-300x78.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR6-1024x267.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR6-768x200.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR6-1536x400.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR6-2048x534.png 2048w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR6-450x117.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR6-1320x344.png 1320w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/p>\n<p>The brown square in each chart is <strong>2026<\/strong>.\u00a0 Scatter plots can be useful to identify unusual years that do not follow the normal relationships.\u00a0 Even though both sunshine and temperatures were well above average this year, together they respect the long term correlation between these variables.\u00a0 When each variable is correlated with rainfall, we can see spring 2026 was arguably wetter than might be expected given the temperature and sunshine levels.<\/p>\n<p>Looking at the 3 scatter plots in turn, we see that temperature and rainfall is not correlated but sunshine is positively correlated with temperature and negatively correlated with rainfall.\u00a0 A statistician would look at these charts and observe that what appears to be 3-dimensional data (temperature, sunshine and rainfall being the 3 dimensions) is in fact closer to be being 2 dimensional.\u00a0 By using <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-5-spring-2018\/\" target=\"_blank\" rel=\"noopener noreferrer\">the method of PCA (Principal Components Analysis)<\/a> which takes our 3-dimensional data set and calculates 3 new components that are statistically uncorrelated with each other, we see from the scree plot that the 1st component accounts for 1.5 dimensions whilst the 2nd component accounts for 1 dimension.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-3925 alignnone\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_Screes-1024x200.png\" alt=\"\" width=\"1352\" height=\"264\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_Screes-1024x200.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_Screes-300x59.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_Screes-768x150.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_Screes-1536x300.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_Screes-2048x401.png 2048w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_Screes-450x88.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_Screes-1320x258.png 1320w\" sizes=\"auto, (max-width: 1352px) 100vw, 1352px\" \/><\/p>\n<p>Looking at the correlation bi-plot for spring, we see that the 1st component accounts for temperature and some of sunshine, reflecting the positive correlation we see in the scatter plot above whilst the 2nd component accounts for dryness (**) and some of sunshine again reflecting the negative correlation we see in the scatter plot above.\u00a0 The 90 degree angle between temperature and rainfall reflects the lack of correlation between these two z-scores as we saw above.<\/p>\n<p><span style=\"color: #993300;\"><em>** In the bi-plots below, rainfall has been replaced with dryness (= -1 x rainfall z-score) in spring, summer &amp; autumn whilst winter retains rainfall.\u00a0 This is to aid visualisation of the biplots in terms of how the correlations change over the year.\u00a0 Had I used rainfall in all plots, then in the 3 seasons mentioned, the rainfall label would be on the opposite side of the circles shown.<\/em><\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3952\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_BiPLots3.png\" alt=\"\" width=\"7866\" height=\"1927\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_BiPLots3.png 7866w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_BiPLots3-300x73.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_BiPLots3-1024x251.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_BiPLots3-768x188.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_BiPLots3-1536x376.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_BiPLots3-2048x502.png 2048w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_BiPLots3-450x110.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2021\/06\/PCA_BiPLots3-1320x323.png 1320w\" sizes=\"auto, (max-width: 7866px) 100vw, 7866px\" \/><\/p>\n<p>Once you have calculated your components, you can then plot these over time.\u00a0 I find these components over time to be more insightful of the long term trends in our weather.\u00a0 In the chart below, I have flagged the years where the z-score exceeded <strong>+2.0<\/strong>\u00a0or <strong>-2.0<\/strong>.\u00a0 Ten years are highlighted and these are our notable springs.\u00a0 It is quite striking that the last <strong>4<\/strong> notable springs have come in the last <strong>15<\/strong> years, all of which are sunny\/warm springs.\u00a0 Conversely, the last notably cold &amp; dull spring was 40 years ago.\u00a0 The overall trend in the principal component is similar to <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-winter-2026\/\" target=\"_blank\" rel=\"noopener\">what I describe for winter which is a steady trend since the 1980s<\/a>.\u00a0 Whereas the winter trend is to warmer and wetter winters, the spring trend is to warmer and sunnier springs.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-6932 aligncenter\" src=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR7.png\" alt=\"\" width=\"793\" height=\"325\" srcset=\"https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR7.png 2430w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR7-300x123.png 300w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR7-1024x420.png 1024w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR7-768x315.png 768w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR7-1536x630.png 1536w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR7-2048x839.png 2048w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR7-450x184.png 450w, https:\/\/marriott-stats.com\/nigels-blog\/wp-content\/uploads\/2026\/06\/UKweatherTracker2026SPR7-1320x541.png 1320w\" sizes=\"auto, (max-width: 793px) 100vw, 793px\" \/><\/p>\n<p>For more information about Principal Components Analysis, please visit my link about <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/stats-training-materials-multivariate-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">training materials for multivariate analysis<\/a>. and read the information in section A.<\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<p>If you want to read <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/tag\/weather-trends\/\" target=\"_blank\" rel=\"noopener noreferrer\">my other Weather Trends posts<\/a>, please click on the link or the <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/tag\/weather-trends\/\" target=\"_blank\" rel=\"noopener noreferrer\">Weather Trends<\/a> hashtag below this post.\u00a0 Otherwise, please click the relevant season from the list below.<\/p>\n<ul>\n<li>2026 &#8211; <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-winter-2026\/\" target=\"_blank\" rel=\"noopener\">Winter<\/a>, Spring<em>, Summer, Autumn, Annual<\/em><\/li>\n<li>2025 &#8211; <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-winter-2025\/\" target=\"_blank\" rel=\"noopener\">Winter<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-spring-2025\/\">Spring<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-summer-2025\/\" target=\"_blank\" rel=\"noopener\">Summer<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-autumn-2025\/\" target=\"_blank\" rel=\"noopener\">Autumn<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-2025-calendar-year\/\" target=\"_blank\" rel=\"noopener\">Annual<\/a><\/li>\n<li>2024 &#8211; <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-winter-2024\/\" target=\"_blank\" rel=\"noopener\">Winter<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-spring-2024\/\" target=\"_blank\" rel=\"noopener\">Spring<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-summer-2024\/\" target=\"_blank\" rel=\"noopener\">Summer<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-autumn-2024\/\" target=\"_blank\" rel=\"noopener\">Autumn<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-2024-calendar-year\/\" target=\"_blank\" rel=\"noopener\">Annual<\/a><\/li>\n<li>2023 &#8211; <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-winter-2023\/\" target=\"_blank\" rel=\"noopener\">Winter<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-spring-2023\/\" target=\"_blank\" rel=\"noopener\">Spring<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-summer-2023\/\" target=\"_blank\" rel=\"noopener\">Summer<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-autumn-2023\/\" target=\"_blank\" rel=\"noopener\">Autumn<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-2023-calendar-year\/\" target=\"_blank\" rel=\"noopener\">Annual<\/a><\/li>\n<li>2022 &#8211; <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-winter-2022\/\" target=\"_blank\" rel=\"noopener\">Winter<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-spring-2022\/\" target=\"_blank\" rel=\"noopener\">Spring<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-summer-2022\/\" target=\"_blank\" rel=\"noopener\">Summer<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-autumn-2022\/\" target=\"_blank\" rel=\"noopener\">Autumn<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-2022-meteorological-year\/\" target=\"_blank\" rel=\"noopener\">Annual<\/a><\/li>\n<li>2021 &#8211; <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-winter-2021\/\" target=\"_blank\" rel=\"noopener\">Winter<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-spring-2021\/\" target=\"_blank\" rel=\"noopener\">Spring<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-summer-2021\/\" target=\"_blank\" rel=\"noopener\">Summer<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-autumn-2021\/\" target=\"_blank\" rel=\"noopener\">Autumn<\/a><\/li>\n<li>2020 &#8211; <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-12-winter-2020\/\" target=\"_blank\" rel=\"noopener noreferrer\">Winter<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-13-spring-2020\/\" target=\"_blank\" rel=\"noopener noreferrer\">Spring<\/a><em>, <\/em><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-14-summer-2020\/\" target=\"_blank\" rel=\"noopener noreferrer\">Summer<\/a><em>, <\/em><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-autumn-2020\/\" target=\"_blank\" rel=\"noopener\">Autumn<\/a><\/li>\n<li>2019 &#8211; <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-8-winter-2019\/\" target=\"_blank\" rel=\"noopener noreferrer\">Winter<\/a><em>, <\/em><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-9-spring-2019\/\" target=\"_blank\" rel=\"noopener noreferrer\">Spring<\/a><em>, <\/em><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-10-summer-2019\/\" target=\"_blank\" rel=\"noopener noreferrer\">Summer<\/a><em>, <\/em><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-11-autumn-2019\/\" target=\"_blank\" rel=\"noopener noreferrer\">Autumn<\/a><\/li>\n<li>2018 &#8211; <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-4-winter-2018\/\" target=\"_blank\" rel=\"noopener noreferrer\">Winter<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-5-spring-2018\/\" target=\"_blank\" rel=\"noopener noreferrer\">Spring<\/a><em>, <\/em><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-6-summer-2018\/\" target=\"_blank\" rel=\"noopener noreferrer\">Summer<\/a><em>, <\/em><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-7-autumn-2018\/\" target=\"_blank\" rel=\"noopener noreferrer\">Autumn<\/a><\/li>\n<li>2017 &#8211; <em>Winter<\/em>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-1-spring-2017\/\" target=\"_blank\" rel=\"noopener noreferrer\">Spring<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-2-summer-2017\/\" target=\"_blank\" rel=\"noopener noreferrer\">Summer<\/a>, <a href=\"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-trends-3-autumn-2017\/\" target=\"_blank\" rel=\"noopener noreferrer\">Autumn<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong><span style=\"color: #993300;\">&#8212; Subscribe to my newsletter to receive more articles like this one! &#8212;-<\/span><\/strong><\/p>\n<p>If you would like to receive notifications from me of news, articles and offers relating to weather, please <strong><a href=\"https:\/\/marriott-stats.com\/nigels-blog\/subscribe-to-our-newsletter\/\" target=\"_blank\" rel=\"noopener\">click here to go to my Newsletter Subscription page<\/a><\/strong> and tick the Weather category and other categories that may be of interest to you.\u00a0 You will be able to unsubscribe at anytime.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Spring 2026 in the UK was the 3rd hottest record with nearly all regions in England recording their hottest ever spring.\u00a0 The heatwave at the end of May (whilst I was out of the country!) set new records for maximum temperature but all 3 months of the season were well above normal.\u00a0 Whilst it was [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":6930,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[5],"tags":[48,40,72,51,46,34,47,52],"class_list":{"0":"post-6943","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-weather","8":"tag-multivariate-data","9":"tag-presenting-data","10":"tag-principal-components-analysis","11":"tag-standardisation","12":"tag-trend-analysis","13":"tag-weather","14":"tag-weather-trends","15":"tag-z-scores","16":"entry","17":"override"},"_links":{"self":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/6943","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/comments?post=6943"}],"version-history":[{"count":6,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/6943\/revisions"}],"predecessor-version":[{"id":6949,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/6943\/revisions\/6949"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/media\/6930"}],"wp:attachment":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/media?parent=6943"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/categories?post=6943"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/tags?post=6943"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}