The Information and Research Institute of Meteorology, Hydrology and Environment has released the latest results from its routine 10-day field survey of snow cover, reporting that as of March 20, approximately 34 percent of Mongolia’s territory remains blanketed in snow that has yet to melt.
The thickest snow cover has been recorded in Yeruu soum of Selenge Province, where it has reached a depth of 34 centimeters. In several other areas, including Baruunturuun in Uvs, Tsetserleg, Ulaan-Uul, and Tsagaannuur in Khuvsgul, Altai in Khovd, Tonkhil and Bugat in Govi-Altai, as well as Khuder and Yeruu in Selenge, snow depth exceeds 21 centimeters. Meanwhile, regions such as Malchin, Khyargas, and Tes in Uvs; Uyench in Khovd; Bayantes and Tosontsengel in Zavkhan; Renchinlkhumbe in Khuvsgul; Zuunburen and Baruunburen in Selenge; Erdene in Tuv; Bayan-Adarga, Binder, and Norovlin in Khentii; and Choibalsan and Khalkhgol in Dornod are experiencing snow depths ranging between 11 and 20 centimeters. In other parts of the country, snow cover remains below 10 centimeters.
Compared to measurements taken 10 days earlier, overall snow cover has decreased by 11 percent, indicating a gradual seasonal thaw. However, meteorologists warn that this trend may be short-lived. Beginning today, much of the country is expected to experience renewed snowfall, accompanied by a sharp drop in temperatures, intensifying cold conditions, and widespread snowstorms. Wind speeds may escalate to hazardous levels, raising the risk of dangerous weather events.
Authorities have urged herders, residents, and transport operators to exercise caution and avoid long-distance travel until weather conditions stabilize. Such advisories are particularly critical during Mongolia’s transitional spring period, when sudden weather shifts are common and can pose significant risks to both livelihoods and infrastructure.
Notably, March 23 marked World Meteorological Day, highlighting the importance of meteorological science. In Mongolia, meteorological and environmental monitoring combines traditional visual observation with advanced instrumental measurements and increasingly incorporates automated systems and artificial intelligence technologies. This integrated approach plays a vital role in supporting socio-economic planning, disaster preparedness, and environmental protection.
