{"id":2175,"date":"2019-12-04T18:59:42","date_gmt":"2019-12-04T18:59:42","guid":{"rendered":"https:\/\/marriott-stats.com\/nigels-blog\/?p=2175"},"modified":"2020-03-08T14:25:00","modified_gmt":"2020-03-08T14:25:00","slug":"uk-weather-tracker-nov-2019","status":"publish","type":"post","link":"https:\/\/marriott-stats.com\/nigels-blog\/uk-weather-tracker-nov-2019\/","title":{"rendered":"UK Weather Tracker #34 – November 2019"},"content":{"rendered":"

The weather in the UK for November 2019 was completely unremarkable in all respects.\u00a0 It would be nice to have something unusual to report for a change!<\/p>\n

The meteorological year starts in December which is why December appears as the 1st data point in the charts below.\u00a0 More information on the layout of the charts can be found in this pos<\/a>t.\u00a0 Points lying between the upper and lower deciles are shown as open black circles, points lying between the deciles and minimum\/maximum are shown as solid black circles and any month with a new record is shown as solid black squares.<\/p>\n

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As I explained<\/a> in October 2018, the addition of a Temperature Range chart (B) means I update 7 charts every month so I rotate which 6 appear \"\"in the deck above and plot the 7th as a separate chart here.\u00a0 Since it is the end of Autumn, Sunshine (chart G) is shown here since that is of least interest in these months.<\/p>\n

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How abnormal was November 2019?<\/strong><\/span><\/h4>\n

Chart H displays my UK Weather Abnormality Index<\/strong><\/span> (Scroll down my May 2019 post for details<\/a>).\u00a0 The closer to zero this \"\"index is, the less abnormal and thus more “average” a month is.\u00a0 The higher it is, the more abnormal the month is.\u00a0 When the index is over 100%, we can describe the month as unusual in some way.<\/p>\n

The abnormality index was 56% in October 2019 making the month very very typical.<\/p>\n

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Regional Variations<\/strong><\/span><\/h4>\n

November marks the end of the meteorological autumn.\u00a0\u00a0I do not track regional statistics every month but I do track temperature by season for each region so \"\"I can update the regional temperature chart below.\u00a0 This shows the Z-Score for each region for the 2019 autumn.\u00a0 A Z-Score is simply the regional temperature minus the long term average for that region divided by the long term standard deviation for that region.\u00a0 Doing this, gets around the issue that each region is different on average whereas z-scores all have the same scale, namely number of standard deviations from the mean.<\/p>\n

For the UK as a whole, autumn 2019 was below average in temperature in all regions with Scotland the coldest region of all.<\/p>\n

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PS: If you bookmark this link<\/a>, it will be refreshed with the latest month’s data.\u00a0 I usually post the update in the first week of each month.<\/em><\/p>\n

Click the relevant month to see my other weather trackers.\u00a0 Alternatively click the Weather Tracker<\/a> hash tag below this post to see a list of all such posts.<\/p>\n