«Mathematical modeling of geophysical processes: direct and inverse problems»
The seminar is devoted to the consideration of various aspects of mathematical modeling of physical processes in the atmosphere, hydrosphere and active layer of land, associated with solving problems arising in the study of the problems of climate change and the natural environment.
Seminar Organizing Committee
| Leaders: |
Doctor of Physics and Mathematics A.V. Glazunov (Marchuk Institute of Numerical Mathematics of RAS) Doctor of Physics and Mathematics I.A. Repina (A.M. Obukhov Institute of Atmospheric Physics of RAS) Doctor of Physics and Mathematics V.M. Stepanenko (RCC MSU, Geographical Faculty of Moscow State University) |
| Secretary: |
PhD V.I. Suyazova (RCC MSU). |
PROGRAM
17:15
| E.M. Ladokhina | (MicroStep-MAK LLC, St. Petersburg, Russia; North-West UGMS Federal State Budgetary Institution, St. Petersburg, Russia) |
Numerical modeling of the influence of urban development properties of St. Petersburg on meteorological fields.
This work is devoted to developing an optimal configuration for a mesoscale predictive model for the St. Petersburg area, taking into account the actual characteristics of the urban development. The study utilizes the WRF-ARW mesoscale model, sequentially combined with two parameterizations of the urban sublayer: a simple SLAB model, which describes the urban surface using five parameters (albedo, emissivity, soil moisture content, roughness, and thermal inertia), and a multiscale BEP_BEM model with refined geometric characteristics of the urban development.
The results of numerical experiments were verified over four months of 2021 under contrasting external conditions (insolation, cloudiness, snow cover, etc.). Using BEP_BEM significantly alters the response of the mesoscale model in the fields of surface meteorological variables compared to a simple parameterization. The use of refined data on the urban development of St. Petersburg in the BEP_BEM parameterization led to a significant advantage in forecasting wind speed and its anomaly within the city limits compared to a simple parameterization of the urbanized surface. In all analyzed months, the standard deviation (SD) of wind speed, calculated relative to observations at the city station, was, on average, 1 m/s lower for the BEP_BEM experiment than for the simple parameterization of the urbanized surface. A similar decrease in the SD was observed for the monthly average and maximum values of the urban wind speed anomaly. Comparison of the model results with satellite data on underlying surface temperature (LST) showed that the model with multi-level parameterization of the urban sublayer best reproduces the spatial distribution of LST under conditions of high temperature contrast between urbanized and natural areas.
The positive effect of refining data on building geometry for forecasting wind speed indicates the applicability of a similar approach to improving the reproduction of temperature and humidity anomalies in St. Petersburg by a multi-level model through further refinement of the parameters characterizing the properties of the urban surface.
The seminar also will be held in the form of a webinar on the Zoom platform.
Topic: семинар "Математическое моделирование геофизических процессов: прямые и обратные задачи".
Time: Jun 18, 2026 05:15 PM Moscow (GMT+3)
Join Zoom Meeting (Meeting ID: 864 3040 7046, Passcode: 170237)
Video recordings of the seminar are available on our youtube channel.