Andrey A. Bart

Forecast of precipitation in the area of Bogashevo airport using the WRF model

Numerical simulation results obtained for meteorological conditions in the area of Bogashevo airport and the city of Tomsk using the Weather Research & Forecasting (WRF) mesoscale system are presented. The main attention is paid to choosing the parameterization of microphysical processes adequate for conditions of Western Siberia with the aim to obtain a reliable forecast of intense rainfalls. The performed comparison of predicted and factual data on precipitation and cloudiness demonstrated good possibilities of the model for forecasting precipitation and dangerous events for aviation. The ETA microphysics parameterization yielded the best results.

Ontological Description of Applied Tasks and Related Meteorological and Climate Data Collections

The use of the OWL-ontology of climate information resources on the web-GIS of the Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch, Russian Academy of Sciences (IMCES SB RAS) for building an A-box of knowledge base used in an intelligent decision support system (IDSS) is considered in this work. A mathematical model is described, which is used for solution of the task of water freezing and ice melting on the Ob’ river. An example is given of the reduction problem solution with ontological description of the related input and output data of the task.

Systematization of climate data in the virtual research environment on the basis of ontology approach

The first version of a primitive OWL-ontology of collections climate and meteorological data of Institute of Monitoring of Climatic and Ecological Systems SB RAS is presented. The ontology is a component of expert and decision support systems intended for quick search for climate and meteorological data required for solution of a certain class of applied problems.

Parallel Algorithms for a 3D Photochemical Model of Pollutant Transport in the Atmosphere

In this paper, a numerical scheme for solving a system of convection-diffusion-kinetics equations of a mathematical model of transport of small pollutant components with their chemical interactions in the atmospheric boundary layer is presented. A new monotonized high-accuracy spline scheme is proposed to approximate the convective terms. Various approaches to parallelization of the computational algorithm are developed and tested. These are based on a two-dimensional decomposition of the calculation domain with synchronous or asynchronous interprocessor data communications for distributed memory computer systems.

Forecast of icing zones using possibilities of hydrodynamic simulation for the atmospheric boundary layer

This paper presents the results of the analysis and forecast of meteorological conditions that promote icing of aircrafts in the atmospheric boundary layer. The forecasting results were obtained using the mesoscale meteorological model TSU-NM3. The Godske method, the NCEP method, and the statistical method of the Hydro-meteorological Centre of Russia were used as the criteria of aircraft icing probability during take-off or landing. The numeric forecast results were compared with pilot reports. The forecast accuracy rates, the probability of false detection, and the Peirces skill score confirm the prospects of the proposed approach for the sphere of forecasting aircraft icing zones. On the basis of this technology, a regional method for forecasting aircraft icing can be developed.

Meteorological optical range predictability with the use of high resolution mesoscale models

The report describes and argues in favor of the data base for numerical experiments with hydrodynamic and photochemical atmospheric models with the purpose of the meteorological visibility forecast. The obtained results demonstrate methodological potential of this approach.

Global meteorological forecast data and instrumental measurement application for simulation of mesoscale atmospheric boundary layer processes

The accuracy of the results of numerical modeling of local atmospheric processes, in particular those in the ground layer, to a great extend depends on the input data characterizing the initial state of meteorological parameters within the area of research or their variation at the boundary. The paper considers a mesoscale model of atmospheric ground layer where medium-range weather prediction data calculated with the help of the global SL-AV model of the Hydrometcenter of the RF are applied as the initial and boundary conditions. Besides, the results of measurements carried out in the Institute of Monitoring of Climatic and Ecological Systems, SB RAS (IMCES) with the help of meteorological stations and temperature profiler are used for quality improvement.

Analysis of observations and results of numerical modeling of meteorological parameters and atmospheric air pollution under weak wind conditions in the city of Tomsk

The results of calculation of meteorological parameters using a meteorological model, TSU-NM3, as well as prediction of some indices of atmospheric air pollution in the city of Tomsk obtained from a mesoscale photochemical model are presented. The calculation results are compared with observational data on the atmosphere and pollutants.

Using weather prediction data for simulation of mesoscale atmospheric processes

The paper presents an approach to specify initial and boundary conditions from the output data of global model SLAV for mesoscale modelling of atmospheric processes in areas not covered by meteorological observations. From the data and the model equations for a homogeneous atmospheric boundary layer the meteorological and turbulent characteristics of the atmospheric boundary layer are calculated.

Mathematical modelling of atmospheric processes above an industrial centre

A high-resolution mesoscale meteorological model TSU-NM3 has been presented for use in forecasting and investigating the weather phenomena and ground air quality over a limited urbanized area and over a major industrial centre or road junction. To solve mesoscale model equations an efficient explicit-implicit differencing method of the second order of approximation has been developed and supercomputer-oriented. The calculation results are well correlated with the measurements made for the City of Tomsk.