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)
programme. These studies include: aspects of regional-subregional-urban downscaling with focus on metro-
politan areas of St.Petersburg and Moscow; influence of dust transport from artificial tailing dumps and Cu-Ni
smelters of the Kola Peninsula on pollution of environment and health of population; aerosol feedbacks and
interactions at regional scale in the Arctic-boreal domain; estimation of spatio-temporal variability of elevated
black carbon episodes; influence of land cover changes on regional weather conditions/ patterns and its con-
sequences on meteorology for cases of extreme (with heatwave, heavy rains and snowfall) meteorological;
evaluation of atmosphere-land-sea surfaces interactions, and in particular, heat-moisture exchange/ regime
between these surfaces and for better understanding and forecasting of local meteorology in the Arctic; as-
sessment of potential pollution regional atmospheric transport resulted from wildfires in the Chernobyl zone;
analysis of urban meteorology and atmospheric pollution with integrated approach to high-resolution numeri-
cal modelling; and others.
The science education component (as part of the PEEX Educational Platform) for the Enviro-HIRLAM mod-
el is also realised, and though the organization and carrying out of the research training weeks. The latest face-
to-face trainings took place in April 2019 (Helsinki; Enviro-PEEX project) and June 2019 (Tyumen, Russia; AoF
ClimEco project), and next ones arranged and temporarily postponed into autumn 2021 (Moscow, ClimEco &
MegaCity projects) and spring 2022 in St.Petersburg; EDUFI PEEX-FRESReN project) in Russia. Short term visits
and trainings of young researchers are also expected as a part of the activities in the Enviro-PEEX(Plus) project,
MEGAPOLIS Russian Megagrant, and PEEX-CarbonPolygon collaboration, and others.
The model application areas are the following: aerosols-chemistry feedbacks studies on various meteoro-
logical variables; effects of various interactions of aerosols and cloud formation processes and radiative forcing
on urban-regional scales; boundary layer and sublayer parameterizations; urbanization processes impact on
changes in urban weather and climate on urban-subregional-regional scales; studies on atmospheric pollution
and its local impacts; improving prediction of extreme weather events; providing meteorology-chemistry input
to assessment studies for population and environment; integration modelling results into GIS environment for
further risk/vulnerability/consequences/etc. estimation, and others.
Influence of tsunami wave parameters on its passage through straits
An .G. Marchuk
Institute of Computational Mathematics and Mathematical Geophysics SB RAS
Email: mag@omzg.sscc.ru
DOI 10.24412/cl-35065-2021-1-01-38
The experience of historical tsunamis shows that when the tsunami wave passes the straits it loses a sig-
nificant part of its energy and becomes certainly lower in amplitude. Using numerical modeling, the influence
of wave length (period) on the ratio of tsunami height before and after it passes a narrow strait is considered.
The study was carried out both in the model configuration of the straits, and in the case of real geography and
the bottom relief.
Modeling of atmospheric diffusion taking into account wind impacts and building
A. V. Pavlova, S. E. Rubtsov, N. K. Istomin
Kuban State University, Krasnodar
Email: pavlova@math.kubsu.ru
DOI 10.24412/cl-35065-2021-1-01-39
The paper proposes a modification of the Margolus Neighborhood Cellular Automata (CA) [1], its spatial
implementation with the addition of such factors that affect the propagation of pollutant as wind and gravity,
which brings the model closer to the simulated process. We implement CA-diffusion in three-dimensional