Airfield Temperature Statistics now Available

Welcome the new Airfield (or station) Temperature Statistics

Take a look at the Airfield Temperature Statistics already available on Meteo·Mobile:

Anchorage Monthly Temperature Statistics

You can see the (average) Minimum, Average and Maximum Temperatures at the (air)field for each month of the year.

Hourly Temperatures

A little bit below the chart, you have buttons to see the hourly temperature averages for each month of the year. Like this:

Anchorage December Hourly Temperature Statistics

 

Not bad, ugh? They don’t need a fridge over there…

 

 

Percentiles, instead of minimums and maximums

To be more precise, what you see in the charts are the 5% percentile (blue line), average (in green) and 95% percentile (red) Temperatures for each month. The reason for this is that -every once in a while- weather observers make mistakes and report a temperature way out of reality.
If we showed the minimum temperatures then, we’d be showing aberrations like this one at Pamplona Noain Airport (in Spain):

Pamplona Monthly Average Temperatures

Here you can see that in June, the average minimum temperature is around -20 ºC, which is not the case. BUT, sometime ago, the wheather observer there wronlgy reported a temperature like -99 and the average is known to be little robust to this sort of mistakes.

One solution for this sort of problem is to consider that temperature that is below 95% of temperatures, called the 5% percentile.

For maximum temperatures we consider that temperature which is above 95% of temperatures, or the 95% percentile.
Let’s take a look at Pamplona’s new chart then:

Pamplona Monthly Temperature Statistics after percentile corrections

Now the average minimum temperature there is around 8ºC, which looks more natural, doesn’t it? Let’s see other examples. In this case, we’ll see an example where not even the percentiles sort out weather observer’s mistakes:

This is how Punta Cana temperatures looked before the change:

Punta Cana Temp Statistics BEFORE

And this is how it looked after the change:

Punta Cana Temperature Statistics After

As you can see, there’s no great change. So not even 95% percentile fixes every mistake made by the weather observer at the station.

 

You know we’re always looking at new ways to add value to Meteo·Mobile.
There are plenty of other places where you can get raw METAR reports, but we think there are lots of other ways to add value to the pilot or weather enthusiast from those same METAR reports.

Leave your comments on other ways you think we can add value to Meteo·Mobile. We’ll sure consider them, promised.

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