Dr. Alexey V. Penenko Profile

Dr. Alexey V. Penenko

at ICM&MG SB RAS

SPIE Involvement:

Author

Publications (14)

Proceedings Article | 17 October 2023 Paper

Numerical study of a sensitivity operator-based emission sources identification algorithm with nonlinear measurement operator

A. Penenko, E. Rusin

Proceedings Volume 12780, 127806A (2023) https://doi.org/10.1117/12.2690857

KEYWORDS: 3D modeling, Atmospheric modeling, Inverse problems, Data modeling, Remote sensing, Algorithm development, Attenuation, Atmospheric particles

Read Abstract +

Proceedings Article | 17 October 2023 Paper

Emission sources identification scenario for a three-dimensional atmospheric transport and transformation model

A. Penenko, E. Rusin, V. Penenko

Proceedings Volume 12780, 1278068 (2023) https://doi.org/10.1117/12.2690844

KEYWORDS: 3D modeling, Atmospheric modeling, Remote sensing, Mathematical modeling, Inverse problems, Error analysis, Atmospheric chemistry

Read Abstract +

Proceedings Article | 8 December 2022 Paper

Comparison of inverse and data assimilation problems in the inverse modeling of atmospheric chemistry

A. Penenko, V. Konopleva, V. Penenko

Proceedings Volume 12341, 123416O (2022) https://doi.org/10.1117/12.2644951

KEYWORDS: Data modeling, Inverse problems, Atmospheric modeling, Atmospheric chemistry, Algorithm development, Reconstruction algorithms, Chemical elements, Chemical species

Read Abstract +

Proceedings Article | 16 December 2021 Paper

Uncertainty-function-based continuation framework in data assimilation algorithms for atmospheric chemistry models

A. Penenko, V. Konopleva, P. Golenko, V. Penenko

Proceedings Volume 11916, 119168O (2021) https://doi.org/10.1117/12.2603422

KEYWORDS: Data modeling, Inverse problems, Atmospheric chemistry, Atmospheric modeling, Algorithm development, Chemical elements, Data acquisition, Process modeling, Mathematical modeling

Read Abstract +

Proceedings Article | 12 November 2020 Paper

Construction of forecasts in environmental protection as a solution to the continuation problem

Vladimir Penenko, Alexey Penenko

Proceedings Volume 11560, 115605N (2020) https://doi.org/10.1117/12.2575646

Read Abstract +

Proceedings Article | 12 November 2020 Paper

Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data

A. Penenko, A. Gochakov, P. Antokhin

Proceedings Volume 11560, 115607I (2020) https://doi.org/10.1117/12.2575649

KEYWORDS: Remote sensing, Reconstruction algorithms, Atmospheric modeling, In situ metrology, Data modeling, Inverse problems, Error analysis, Roads, Atmospheric chemistry

Read Abstract +

Proceedings Article | 18 December 2019 Paper

Numerical study of an algorithm for air pollution sources identification with in situ and remote sensing measurement data

A. Penenko, A. Gochakov, P. Antokhin

Proceedings Volume 11208, 112085B (2019) https://doi.org/10.1117/12.2540901

KEYWORDS: In situ metrology, Remote sensing, Air contamination, Data modeling, Inverse problems, Atmospheric modeling, Atmospheric chemistry, Systems modeling, Chemical analysis

Read Abstract +

Proceedings Article | 13 December 2018 Paper

Numerical evaluation of the chemical data assimilation system in an urban scenario

Alexey Penenko, Alexander Gochakov, Zhadyra Mukatova, Pavel Antokhin

Proceedings Volume 10833, 108338V (2018) https://doi.org/10.1117/12.2504639

KEYWORDS: Data modeling, Atmospheric modeling, Algorithm development, Atmospheric chemistry, Process modeling, Industrial chemicals, Chemical species, Computing systems, Computational mathematics, Geophysics

Read Abstract +

Proceedings Article | 13 December 2018 Paper

A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data

Alexey Penenko, Zhadyra Mukatova

Proceedings Volume 10833, 108338R (2018) https://doi.org/10.1117/12.2504627

KEYWORDS: Data modeling, Atmospheric modeling, Atmospheric chemistry, Inverse problems, Mathematical modeling, Chemical elements, Algorithms, Systems modeling, Reconstruction algorithms, Algorithm development

Read Abstract +

Proceedings Article | 30 November 2017 Paper

Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry

Alexey Penenko, Pavel Antokhin, Anastasia Grishina

Proceedings Volume 10466, 1046674 (2017) https://doi.org/10.1117/12.2288830

KEYWORDS: Data modeling, Atmospheric modeling, Atmospheric chemistry, Biological and chemical sensing, Atmospheric sensing

Read Abstract +

Proceedings Article | 30 November 2017 Paper

Simulation of spread and transformation of emissions from Norilsk industrial zone with the WRF-CHEM model: comparison with experimental data of airborne sensing

P. Antokhin, O. Antokhina, B. Belan, D. Simonenkov, A. Penenko, A. Kolker, A. Gochakov

Proceedings Volume 10466, 104665S (2017) https://doi.org/10.1117/12.2287128

KEYWORDS: Atmospheric modeling, Sulfur, Carbon monoxide, Numerical simulations, Ozone, Aerosols, Data modeling, Numerical modeling, Error analysis, Lung

Read Abstract +

Proceedings Article | 29 November 2016 Paper

Estimation the height of ozone formation in the atmospheric boundary layer

P. Antokhin, O. Antokhina, B. Belan, A. Penenko

Proceedings Volume 10035, 100356L (2016) https://doi.org/10.1117/12.2249122

KEYWORDS: Ozone, Inverse problems, Atmospheric optics, Atmospheric physics, Atmospheric modeling, Diffusion, Atmospheric sciences, Computational mathematics, Geophysics, Algorithms

Read Abstract +

Proceedings Article | 29 November 2016 Paper

Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model

Alexey Penenko, Pavel Antokhin

Proceedings Volume 10035, 100356F (2016) https://doi.org/10.1117/12.2249060

KEYWORDS: Data modeling, Atmospheric chemistry, Atmospheric modeling, NOx, Oxygen, Data centers, Reconstruction algorithms, In situ metrology, Atmospheric optics, Diffusion

Read Abstract +

Proceedings Article | 19 November 2015 Paper

Direct variational data assimilation algorithm for atmospheric chemistry data with transport and transformation model

Alexey Penenko, Vladimir Penenko, Roman Nuterman, Alexander Baklanov, Alexander Mahura

Proceedings Volume 9680, 968076 (2015) https://doi.org/10.1117/12.2206008

KEYWORDS: Data modeling, Atmospheric modeling, Atmospheric chemistry, Oxygen, Meteorology, In situ metrology, Mathematical modeling, NOx, Diffusion, Chemical reactions

Read Abstract +

Showing 5 of 14 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years