when checking the weather forecast

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The Weather can be very changeable in a lot of different countries so it does not come as a surprise that many people check the weather before they make plans for the day. They may want to make sure that it is not going to rain or it is not going to be too hot for the activities that have planned. However, there is a lot more information that can be gathered from checking the weather report that many people do not realize. One important aspect of the weather report is the levels of humidity. The pollen count is another aspect of the Weather report that can be useful for a lot of people.

Photo of when checking the weather forecast 1/1 by Shishir Del Rio

The 7 best sites to know the weather forecast

We are in a time when it is time to take cover and take the umbrella often. Bad weather does not appeal to anyone because it is uncomfortable. It causes stress, agglomerations and weekends in the house with flu. That is why we offer you the list with the 7 best sites to know the weather forecast.

That is why it is important to know the weather forecast before leaving home. While it is true that the legend says that the man of time is often wrong, it is also that the websites that we offer below will help you not to make a mistake in the weather forecast.

Visiting these websites to know the weather forecast will give you enough documentation to leave the neighbor with his mouth open in those uncomfortable elevator conversations.

Not only will you be informed of the time that a specific day awaits you in your city, you will also be aware of the time that you will or will do anywhere in the world, either during the same day or two weeks. All to ensure future plans, vacation days or trips to other cities in your country or abroad .

Cloudy skies, cloudy, anticyclones, storms, low or high temperatures , terms that will be so familiar that will allow you to go out on the street more or less sheltered.

Weather forecasts: Just how reliable are they?

Do you often visit your favorite weather information website, or check the forecast every morning on your cell phone? Some of us are really obsessed with the weather. In the United States, we have a television channel dedicated exclusively to the subject, and I have friends who pay more attention to this channel than to the news, their favorite team ... maybe even his wife!

By reviewing the weather, you can get the next day's forecast, or you can look at the forecast for the next 5 days or even for the next 10. But have you ever wondered how reliable these predictions are? Many people expect that these long-term forecasts will accurately predict future weather conditions, but are they really reliable, or are they rather the meteorological equivalent of looking at a crystal ball?

In this article, we will examine temperature data and use various statistical tools to determine how reliable the forecast is.

Forecasts: Predictable or Irregular?

Regardless of the analysis, generating a graphical representation of your data is always a good step to get started. Since these data were collected over a period of time, we can use Graph> Time Series Graph to plot actual and predicted temperatures for each day.

The following chart shows that the forecast is more reliable on some days compared to others. It also shows the peaks and valleys of temperature that occurred at State College during the late part of spring.

To easily compare the center and the dispersion of the difference between the actual temperature and the three forecasts, we can use Graph> Graph of individual values.

With a standard deviation of 3.4 degrees, we can see that the forecast for 10 days overestimated the highest temperature by up to 5 degrees and underestimated it by as much as 10 degrees, as shown in the following graph. The forecasts for 5 days and the following day were less variable with standard deviations of 2.4 and 1.2, respectively.

Now, is this difference in the variability between the 3 prognoses statistically significant, or are these observed samples likely since the variances are actually the same? Let's find out when checking the weather forecast.

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