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

    Penenko, A., Antokhin, P. & Grishina, A., 1 Jan 2017, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, GG. & Romanovskii, OA. (eds.). The International Society for Optical Engineering, Vol. 10466. 5 p. 1046674. (Proceedings of SPIE; vol. 10466).

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

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

    Penenko, A. V., Konopleva, V. S., Golenko, P. M. & Penenko, V. V., 2021, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). The International Society for Optical Engineering, 119168O. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11916).

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

  3. Source Identification for the Smoluchowski Equation Using an Ensemble of Adjoint Equation Solutions

    Penenko, A. V. & Salimova, A. B., 1 Jun 2020, In: Numerical Analysis and Applications. 13, 2, p. 152-164 13 p.

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

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

    Antokhin, P. N., Antokhina, O. Y., Belan, B. D., Simonenkov, D. V., Penenko, A. V., Kolker, A. B. & Gochakov, A. V., 1 Jan 2017, 23RD INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS: Atmospheric Physics. Matvienko, GG. & Romanovskii, OA. (eds.). The International Society for Optical Engineering, Vol. 10466. 4 p. 104665S. (Proceedings of SPIE; vol. 10466).

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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

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