CC BY
4The study was carried out under state contract with ICMMG SB RAS (0251-2021-0003), and partially was financially
supported by RFBR / Russian Science Foundation (Project No. 20-01-00560 A).
References
1. Kurbatskii A.F. Modeling Nonlocal Turbulent Momentum and Heat Transfer. Nauka. Novosibirsk. 1988 (in Russian).
2. Kurbatskii A. F. and Kurbatskaya L. I. Investigation of a stable boundary layer using an explicit algebraic model of
turbulence. // Thermophysics and Aeromechanics. 2019. 26, N. 3. P. 335�350.
The use of satellite data in the problems of evaluating the characteristics of emission sources
and atmospheric parameters
A. A. Lezhenin, V. F. Raputa
Institute of Computational Mathematics and Mathematical Geophysics SB RAS
Email: lezhenin@ommfao.sscc.ru
DOI 10.24412/cl-35065-2021-1-01-35
Images from space make it possible to visually record the trajectories of smoke plumes from industrial
chimneys. Based on this information, it is possible to quickly track the spread of impurities in the atmosphere.
The paper analyzes the trajectories of smoke plumes using the equations of hydrothermodynamics and
transport of impurities in the lower atmosphere. With the use of satellite observation data in relation to emis-
sions from high-rise chimneys of thermal power plants located in the Baikal natural territory, estimates of ad-
ditional heights of rise of smoke plumes were obtained according to the previously developed method [1].
Comparison with calculations based on known relationships, including the heat flux of buoyancy and the dy-
namic impulse of emissions, is carried out [2].
The work was supported by the Ministry of Science and Higher Education of the Russian Federation, the grant
No. 075-15-2020-787 for implementation of Major scientific project "Fundamentals, methods and technologies for digital
monitoring and forecasting of the environmental situation on the Baikal natural territory".
References
1. Raputa V.F., Lezhenin A.A. Estimation of the Altitude of Smoke Plumes from Satellite Images // Atmospheric and
Oceanic Optics. 2020. V. 33, N. 5. P. 539�544.
2. Berlyand M. E. Prediction and regulation of air pollution. Leningrad: Gidrometeoizdat 1985.
One approach to restoring conditions on inner boundary in the hydrothermodynamics problem
N. R. Lezina, V. I. Agoshkov
Marchuk Institute of Numerical Mathematics of the RAS
Email: lezina@phystech.edu
DOI 10.24412/cl-35065-2021-1-01-36
In this work a domain decomposition method based on theory of optimal control and adjoint equations
[1] is considered. The initial domain is divided into subdomains by introducing an inner boundary. To formulate
interface conditions �additional unknows� are introduced to the system. The domain decomposition approach
allows to solve the problem, restore boundary conditions on inner boundary and obtain solution of the sys-
tem. The domain decomposition method is numerically studied in the problem of hydrothermodynamics mod-
elling. The numerical experiments with using the domain decomposition algorithm are presented and dis-
cussed. It could be noted that described domain decomposition method could be applied together with varia-
tional data assimilation [2].
This work was supported by Russian Foundation for Basic Research (project No 19-01-00595).
References
1. Agoshkov V.I. Domain decomposition methods in problems of oceans and seas hydrothermodynamics. M.: INM
RAS 2017. (in Russian).
2. Agoshkov V. I., Lezina N. R., Sheloput T. O. Recovery of Boundary Functions on External and Internal Open
Boundaries in an Open Sea Hydrodynamic Problem //Computational Mathematics and Mathematical Physics. 2020. V. 60.
No 11. P. 1855-1871.
Enviro-HIRLAM seamless modelling approach for environmental studies: recent research and development
A. Mahura1, R. Nuterman2, A. Baklanov3, G. Nerobelov4, M. Sedeeva4, P. Amosov5, A. Losev5, V. Maksimova5,
F. Pankratov5, D. Gabyshev6, S. Smyshlayaev7, T. Petaja1, S. Zilitinkevich1, M. Kulmala1
1University of Helsinki, Finland
2University of Copenhagen, Denmark
3World Meteorological Organization, Geneva 2, Switzerland
4St. Petersburg State University
5Kola Science Center, Russia
6University of Tyumen
7Russian State Hydrometeorological University, Russia
Email: alexander.mahura@helsinki.fi
DOI 10.24412/cl-35065-2021-1-01-37
The Enviro-HIRLAM (Environment - HIgh Resolution Limited Area Model) is seamless/ online integrated
numerical weather prediction (NWP) and atmospheric chemical transport (ACT) modelling system capable to
simulate simultaneously meteorology � atmospheric composition on multi-scales ranging from regional to sub-
regional � urban scales.
The main areas of the modelling system research and development include: (i) downscaling/ nesting for
high resolutions, (ii) improved resolving planetary boundary layer and surface layer structures, (iii) urbaniza-
tion and sub-layer processes, (iv) improvement of advection schemes, (v) integration of natural and anthropo-
genic emission inventories, (vi) implementation of gas-phase chemistry mechanisms, (vii) implementation of
aerosol dynamics and microphysics, (viii) implementation of aerosol feedback and interactions mechanisms.
The Enviro-components includes the following: (i) gas-phase chemistry; (ii) aerosol microphysics with nu-
cleation, coagulation, condensation of sulfate, mineral dust, sea-salt, black and organic carbon together with
aerosols� dry and wet deposition, sedimentation processes; (ii) parameterisations of urban sublayer with modi-
fications of the interaction soil�biosphere�atmosphere scheme; (iv) sulfur cycle mechanism with dimethyl sul-
fide, sulfur dioxide and sulfate; (v) radiation scheme improved to account explicitly for aerosol radiation inter-
actions for 10 aerosol subtypes; (vi) aerosol activation implemented in condensation-convection scheme with
nucleation dependent on aerosol properties and ice-phase processes; (vii) locally mass-conserving semi-
Lagrangian numerical advection scheme; (viii) natural and anthropogenic emission inventories.
The Enviro-HIRLAM utilises extraction and pre-processing of initial/ boundary meteorology-chemistry-
aerosol conditions and observations for data assimilation (from ECMWF�s ERA-5 & CAMS), pre-processing of
selected emission inventories for anthropogenic and natural emissions. The latest version has been run on
CRAY-XC30/40 and Atos BullSequana HPCs machines, and it has been developed through the research and HPC
projects such as Enviro-HIRLAM at CSC and Enviro-PEEX & Enviro-PEEX(Plus) at ECMWF, as well as other re-
search projects.
The further (since 2017; Baklanov et al., 2017) research, development and science education of the mod-
elling system and its applications will be demonstrated on examples, where the Enviro-HIRLAM is used as a
research tool for studies in domain of the Pan-Eurasian Experiment (PEEX; https://www.atm.helsinki.fi/peex)
