Read all articles about weather forecast models and weather forecasting for particular sports in Windy.app blog from this page.
The weather depends on lots of different factors: wind speed, cloudiness, pressure, humidity, etc. All of them can be measured and represented in meters per second, millimeters of mercury, etc. A mathematical weather model is a combination of all these factors. Such models tend to be very complex, powerful computers calculate them.
Usually, weather models are provided by national weather services, but sometimes they can also be produced by groups of enthusiasts. In this section, we want to introduce you to our models, from which we get forecasts.
Windy.app has two types of forecast predictive models: global — on the map, and local — for a spot.
Weather is an extremely complicated phenomenon made up of hundreds of different factors and variables, and simply tracking it can be a rather daunting task. Making a correct forecast is a totally different beast.
These days, weather forecasts are made by supercomputers solving insanely difficult and complex mathematical equations. Those equations can be drastically different depending on the region, its terrain, its man-made objects and many other inputs.
There are two main types of forecast models: global ones, covering the entire planet, and local ones, covering specific areas, such as continents, countries, mountain ranges and so on.
One of the coolest features of Windy.app is the ability to choose the weather forecast model that suits you best. With it, you can better predict the weather for your favorite spot and the type of sport. But that's not all...
Also, you can compare the weather forecasts for all models at once.
We've learned which weather models Windy.app users choose the most*, including this comparison feature.
The weather depends on hundreds of factors: wind speed, cloudiness, atmospheric pressure, humidity, precipitation, terrain, etc. All of these factors can be quantified: meters per second, millimeters of mercury, etc. If you put these variables into an equation, you can create a mathematical weather model.
A forecast model may be wrong. It is impossible to take into account all of the atmospheric factors. Also, there could be an accidental error during data input. For instance, a wind speed of 5.6 m/sec was perceived as 5.7 m/sec by the sensor.
As you can see, the forecast does not always predict the events correctly. This is why the meteorologists use a so-called probabilistic approach in forecasting-they examine the ensemble models.
First off — let’s cover the basics. Think of this as your Bachelor in Understanding The Surf Forecast degree.
For your degree, these four variables are the basics: swell, swell height, swell period and swell direction.
Understand this holy foursome and you will have a decent package of know-how and you are ready to start planning your next surf session.
The ski season has begun. In this article we will discuss how to check snow forecasts and which one to believe.
The forecast we’re used to is a result of the complex work of lots of formulas and algorithms. The point is the place the forecast is calculated for. Let’s take a point on the map, for instance, an alpine skiing spot. We can calculate certain parameters for it — humidity, precipitation, cloudiness etc. These are the initial conditions for a complex equation system.
There are lots of factors in the mountains impeding accurate forecasts — they can be trusted for a 7-day period at the most. We’ll explain why.
Read even more about weather forecasting in The Basic Meteorology for Windsports and Outdoors. Windy.app Textbook
Cover photo: ricardo-gomez-angel / Unsplash