The Ventusky application in itself doesn’t forecast the weather. The weather differs even in a very small territory, which a model can’t capture correctly. Numerical models only provide a simplified insight into phenomena in the atmosphere, and no forecast is 100% certain. The time zone used is shown under the location title (e.g. By contrast, the card of the particular location uses the local time of this location. The timeline below the map uses the time that you have set in your device. These models are able to show precisely current precipitation in US and Europe. Two models, EURAD and USRAD, are based on current radar and satellite readings. Calculations are done in one-hour increments for 16 hours. The resolution of the model is roughly 2 km. This is a regional model developed by the American National Oceanic and Atmospheric Administration ( NOAA). Calculations are done in three-hour increments for 10 days. The resolution of the model is roughly 25 km. This is the global model developed by the Canadian Meteorological Centre ( CMC). The resolution of the model is roughly 22 km. This is a global model developed by the American National Oceanic and Atmospheric Administration ( NOAA). This makes it the most useful model readily available and covering the whole of Europe. The regional model, ICON-EU uses a 7 km grid. The resolution of the model is roughly 13 km. This is a global model developed by the German National Meteorological Service institution ( DWD). When interpreting the data from the models, it is important to keep in mind that the numerical model predicts the atmosphere in simplified form. Moreover, some special models are available (SILAM for air quality, RTOFS for sea currents and sea temperature or OVATION for aurora forecast). In the Ventusky application, you will find data from the American model, GFS, the German ICON, the Canadian GEM and several regional models (ICON EU, ICON DE, NBM, HRRR). The solutions to these equationsĪre reached using numerical models that calculate future weather development (temperatures, pressure, precipitation, etc.), in which the input data come from,įor example, observations from meteorological stations or satellite data. The equations themselves are extremely complex and high-performance computers are needed to solve them. The atmosphere is a physical system whose behaviour is governed by the laws of physics and can be described using mathematic equations. In order to predict the weather, a meteorologist needs to know basic variables such as temperature, pressure, humidity, and wind current. On the other hand, as airflow increases over the skin, more heat is removed and the air feels much cooler. In humid conditions, the air feels much hotter. Perceived temperature shows equivalent temperature perceived by humans, caused by the combined effects of sunshine, air temperature, relative humidity and wind speed. This average is based on the period 1980-2020 (40 years). Temperature anomaly shows deviation from the long-term average for a given time. A short yet noticeable cooling can also occur after a local summer storm. Significant temperature differences over a small area are primarily caused in the winter by an inversion. The general rule is that the centres of large cities are 1 ☌ to 3 ☌ warmer than the surrounding area or natural landscapes. Therefore the models cannot differentiate, for instance, the temperature on a mountain peak or on a city square scorched by the sun. The calculations take into account the terrain (elevation), but with lower resolution than in reality. For this output data, temperature is shown for 2 metres above ground (or for other altitude, according to the settings).
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