Published 20.12.2021 RSE "Kazhydromet" launches a forecast for the points of tourist routes. Since 2022, a page has been created on the official website of RSE "Kazhydromet", where the weather forecast for points popular among tourists is displayed.
At the moment, forecasting by points of tourist zones is carried out in eight regions: Almaty, Akmola, East Kazakhstan, Karaganda, Pavlodar, Turkestan and Mangystau. Forecasts for the Almaty region, where the small Almaty circumnavigation takes place, are most in demand. In the northern part of the country, Borovoe resort destinations are popular. These are one-two-day tourist trips that are held all year round. In summer - mountain hiking, in winter - New Year and holiday trips to nature.
The difficulty of forecasting weather conditions for tourist areas is that, depending on the geographical location and the features of the locations of popular places, forecasts change dramatically in a short period. If a meteorological station records cloudless weather at the foot of the mountains, then there may already be precipitation in the highlands. Therefore, forecasts based on data from several weather stations are combined in one route. Tourists, guides and tour operators need to plot routes based on weather forecasters' forecasts for individual points located inside tourist zones.
This is not the final version of the list of geographical points. As the ground observation network increases, Kazhydromet plans to gradually add other geographical points, as well as increase the number of automatic meteorological stations (AMS) inside nature reserves. At the moment, three AMS have already been installed: Charyn Canyon (AMS Sharyn), Kolsai Lakes (AMS Kolsai) and Turgen Gorge (AMS Turgen).
When making a weather forecast for the points of tourist routes, a numerical forecasting method is used. A numerical weather forecasting model is a computer program that makes a forecast based on current actual data. Information from weather balloons, weather satellites and ground-based weather stations is used as the initial data for the models. This model can be global, covering the entire Earth, or local, covering a separate section of the planet.