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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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Схема оперативного краткосрочного комплексного прогноза приземной температуры и влажности воздуха

Метеорология и гидрология. 2018. № 8.
Bagrov A., Bykov P. L., Gordin V. A.

The following input data were used by our scheme: the operative weather forecasts with lead-time 3-5 days from several best forecasting hydrodynamic models. Also our scheme uses the archives of these models’ forecasts and of the meteorological measurements in 2800 cities of Russia, East Europe, and Central Asia. The list of the original hydrodynamic schemes can vary. The output of our scheme includes the air temperature forecast for the standard observations moments with period 6 hours and extreme temperatures for lead times from 12 up 120 hours.

The results of the operative forecasting (about ~280 Russian and Belarusian cities and separately 58 localities of Central Asia) are representing on the site of Hydrometeorological Center of Russia every day at 8.30 (a.m. and p.m.) of the Moscow time. Besides temperature we represent on the site amount of precipitation, wind (including gusts), and dew-point temperature with lead-time from 12 up 72 hours with period 6 hours.

We estimate the errors of the complex forecast of the temperature and of the dew-point temperature in the standard moments as well as extreme temperature with various lead-times during the period from June 2014 up to June 2017. Also we compare the accuracy of our operative version (it was improved during the period) with the accuracy of the last version of the forecasting. The accuracy of these forecasts for the standard moments is much better that the forecasts of the original hydrodynamic models. Also we compare the estimations for our forecasting extreme temperature with the similar results of the forecasting scheme “weather element computation” (WEC) and with forecasts of meteorologists of regional meteorological centers.

Research target: Mathematics Earth Sciences
Priority areas: IT and mathematics
Language: Russian
Full text
Keywords: forecasting modelпрогностическая модельair temperatureerror of forecast lead-time extreme temperature dew-point temperatureтемпература воздухапогрешность прогнозазаблаговременностьэкстремальная температура температура точки росы
Publication based on the results of:
Математические модели. Дифференциальные уравнения и большие массивы информации. Аналитические и вычислительные методы. Практические приложения (2018)
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