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  1. 2021

  2. Emission Monitoring Mobile Experiment (EMME): an overview and first results of the St. Petersburg megacity campaign-2019

    Makarova, M. V., Alberti, C., Ionov, D. V., Hase, F., Foka, S. C., Blumenstock, T., Warneke, T., Virolainen, Y. A., Kostsov, V. S., Frey, M., Poberovskii, A. V., Timofeyev, Y. M., Paramonova, N. N., Шпак, К. А., Zaitsev, N. A., Biryukov, E. Y., Osipov, S. I., Makarov, B. K., Polyakov, A. V., Ivakhov, V. M. & 2 others, Imhasin, H. K. & Mikhailov, E. F., 10 Feb 2021, In: Atmospheric Measurement Techniques. 14, 2, p. 1047-1073 27 p.

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

  3. 2020

  4. Application of the Regression Algorithm to the Problem of Studying Horizontal Inhomogeneity of the Cloud Liquid Water Path by Ground-Based Microwave Measurements in the Angular Scanning Mode

    Biryukov, E. Y. & Kostsov, V. S., Nov 2020, In: Atmospheric and Oceanic Optics. 33, 6, p. 602-609 8 p.

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

  5. 2019

  6. The Use of Linear Regression Relations Derived from Model and Experimental Data for Retrieval of the Water Content of Clouds from Ground-Based Microwave Measurements

    Biryukov, E. Y. & Kostsov, V. S., 2019, In: Atmospheric and Oceanic Optics. 32, 5, p. 569-577 9 p.

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

  7. Использование линейных регрессионных соотношений, полученных на основе модельных и экспериментальных данных, для определения водозапаса облаков из наземных микроволновых измерений

    Бирюков, Е. Ю. & Косцов, В. С., 2019, In: ОПТИКА АТМОСФЕРЫ И ОКЕАНА. 32, 5, p. 386-394 9 p.

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

  8. 2018

  9. Cross-validation of two liquid water path retrieval algorithms applied to ground-based microwave radiation measurements by the RPG-HATPRO instrument

    Kostsov, V. S., Ionov, D. V., Biryukov, E. Y. & Zaitsev, N. A., 4 Mar 2018, In: International Journal of Remote Sensing. 39, 5, p. 1321-1342 22 p.

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

ID: 6810097