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

    Penenko, A. & Antokhin, P., 2016, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Romanovskii, O. A. & Matvienko, G. G. (eds.). The International Society for Optical Engineering, 100356F. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10035).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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

    Penenko, A. V., Gochakov, A. V. & Antokhin, P. N., 2020, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). The International Society for Optical Engineering, 115607I. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11560).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  3. Numerical study of the coefficient identification algorithm based on ensembles of adjoint problem solutions for a production-destruction model

    Penenko, A. V., Mukatova, Z. S. & Salimova, A. B., 1 Aug 2021, In: International Journal of Nonlinear Sciences and Numerical Simulation. 22, 5, p. 581-592 12 p.

    Research output: Contribution to journal › Article › peer-review

  4. On a comparison of two schemes in sequential data assimilation

    Grishina, A. A. & Penenko, A. V., 14 Nov 2017, Proceedings of the 8th International Conference on Mathematical Modeling, ICMM 2017. Egorov, IE., Popov, SV., Vabishchevich, PN., Antonov, MY., Lazarev, NP., Troeva, MS., Troeva, MS., Ivanova, AO. & Grigorev, YM. (eds.). American Institute of Physics Inc., Vol. 1907. 9 p. 030013. (AIP Conference Proceedings; vol. 1907).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. Optimization of Computations in Simulating Chemical Kinetics Using Surrogate Neural Models

    Kazakov, G., Ivanov, K., Penenko, A. & Marchenko, M., 2024, Proceedings - 2024 20th International Asian School-Seminar on Optimization Problems of Complex Systems, OPCS 2024. Institute of Electrical and Electronics Engineers Inc., p. 60-64 5 p. (Proceedings - 2024 20th International Asian School-Seminar on Optimization Problems of Complex Systems, OPCS 2024).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  6. Parallel speedup analysis of an adjoint ensemble-based source identification algorithm

    Penenko, A. & Gochakov, A., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 012072.

    Research output: Contribution to journal › Conference article › peer-review

  7. Scenario Approach for the Optimization of Regularization Parameters in the Direct Variational Data Assimilation Algorithm

    Penenko, A., Mukatova, Z. & Konopleva, V., Aug 2019, 2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019. Institute of Electrical and Electronics Engineers Inc., p. 131-134 4 p. 8880181. (2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. Sensitivity Operator-Based Approach to the Interpretation of Heterogeneous Air Quality Monitoring Data

    Penenko, A., Penenko, V., Tsvetova, E., Gochakov, A., Pyanova, E. & Konopleva, V., 2022, Large-Scale Scientific Computing - 13th International Conference, LSSC 2021, Revised Selected Papers. Lirkov, I. & Margenov, S. (eds.). 1 ed. Springer, p. 164-171 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13127 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. Sensitivity operator framework for analyzing heterogeneous air quality monitoring systems

    Penenko, A., Penenko, V., Tsvetova, E., Gochakov, A., Pyanova, E. & Konopleva, V., Dec 2021, In: Atmosphere. 12, 12, 1697.

    Research output: Contribution to journal › Article › peer-review

  10. Sequential variational data assimilation algorithms at the splitting stages of a numerical atmospheric chemistry model

    Penenko, A., Penenko, V., Tsvetova, E., Grishina, A. & Antokhin, P., 1 Jan 2018, Large-Scale Scientific Computing - 11th International Conference, LSSC 2017, Revised Selected Papers. Lirkov & Margenov, S. (eds.). Springer, p. 536-543 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10665 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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