Synoptics reveal what kind of aura to expect on All Saints' Day. Do they have good news for us

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What kind of aura do meteorologists predict for November 1?

 Synoptics reveal what kind of aura to expect on All Saints' Day. Do they have good news for us

As reported by the” Gazeta “portal , mid-October is approaching and more and more people are already thinking about All Saints. Weather forecasters more and more often publish long-term forecasts, from which we learn about the weather forecast on November 1. Get to know the details!

Weather November 1, 2022

November 1st will be Tuesday this year. All Saints' Day is the moment when Poles flock to cemeteries to remember and pray for their deceased relatives. Hence, there is so much interest in the weather for that day. The expectations of Poles are met by synoptics who present long-term forecasts for the Feast of the Dead.

The forecasts published so far show that at the turn of October and November we can expect a higher temperature than in previous years. The temperature is to fluctuate around 10 degrees, although locally it may be higher and reach 12 degrees. Unfortunately, there are indications that it will be cloudy.

 Synoptics reveal what kind of aura to expect on All Saints' Day. Do they have good news for us

What weather will it be November 2022?

The long-term forecasts show that the average temperature in November this year is to be higher than in previous years. Although the average is to be higher than the long-term standard, it does not mean that frosts cannot occur. It is possible that the first snowfall may appear in November.

A slightly different opinion as to the temperature in November this year is presented by an experimental long-term forecast prepared by a synoptician from the Institute of Meteorology and Water Management. As predicted by IMWM, both the temperature and precipitation in November will be within the long-term standard. The exception is to be larger than the norm.

It is worth remembering that long-term forecasts are subject to a large margin of error.

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