DIY weather analysis
Not so long ago I realized that in our climate the most important thing is not a degree, but cloudiness. The nastiest month for me is January, during which there is no sun for several weeks. An idea appeared to compare cloudiness quantitatively in space and in time. It turned out that there is a very useful public service with archival weather data for 11 years for different cities of the planet.
Having calculated the average cloudiness and deviation from the average for different cities, I present a graph of cloudiness, measured on a ten-point scale:
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The differences of cloud cover for Moscow and St. Petersburg are within the limits of changes from year to year. Cloudiness in winter varies from year to year less than in summer. So many sunny days in January can not wait. It is evident that London is not so gloomy in winter. Solar Magadan can only envy the winter season, in summer as in St. Petersburg in the fall.
On the temperature chart, London obviously wins in the winter, and in Magadan it is chilly all year round. Differences of St. Petersburg from Moscow in the aisles of annual deviations.
Source code processing and parsing can be found here .
Having calculated the average cloudiness and deviation from the average for different cities, I present a graph of cloudiness, measured on a ten-point scale:
')
The differences of cloud cover for Moscow and St. Petersburg are within the limits of changes from year to year. Cloudiness in winter varies from year to year less than in summer. So many sunny days in January can not wait. It is evident that London is not so gloomy in winter. Solar Magadan can only envy the winter season, in summer as in St. Petersburg in the fall.
On the temperature chart, London obviously wins in the winter, and in Magadan it is chilly all year round. Differences of St. Petersburg from Moscow in the aisles of annual deviations.
Source code processing and parsing can be found here .
Source: https://habr.com/ru/post/74338/
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