Search Results - "Zabolotskikh, E. V."

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  1. 1

    External Calibration of MTVZA-GYa Microwave Radiometer Measurements in Scanner Channels. Part 1. The Modeling by Zabolotskikh, E. V.

    Published in Russian meteorology and hydrology (01-10-2021)
    “…Numerically simulated brightness temperatures ( ) of vertically and horizontally polarized microwave radiation of the “ocean–atmosphere” and “sea…”
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    Journal Article
  2. 2

    Review of Methods to Retrieve Sea-Ice Parameters from Satellite Microwave Radiometer Data by Zabolotskikh, E. V.

    “…Sea-ice monitoring using long-term data from satellite passive microwave instruments allows one to make quantitative estimates of climatic trends. These…”
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    Journal Article
  3. 3

    Variability of the Pechora Sea Ice Area and Its Correlation With the Barents Sea Surface Temperature According to Satellite Observations and Reanalysis by Lvova, E. V., Zabolotskikh, E. V.

    Published in Lëd i sneg (01-01-2024)
    “…Received June 28, 2023; revised September 6, 2023; accepted October 2, 2023Variability of the Pechora Sea ice cover and the Barents Sea surface temperature…”
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    Journal Article
  4. 4

    Sea Surface Wind Speed Retrieval from MTVZA-GYa Data by Zabolotskikh, E. V., Azarov, S. M., Zhivotovskaya, M. A.

    Published in Russian meteorology and hydrology (01-08-2023)
    “…A neural network (NN) algorithm for the sea surface wind speed retrieval from the MTVZA-GYa Russian satellite microwave radiometer measurements is presented…”
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    Journal Article
  5. 5

    Contemporary methods for retrieving the integrated atmospheric water-vapor content and the total cloud liquid-water content by Zabolotskikh, E. V.

    Published in Izvestiya. Atmospheric and oceanic physics (01-05-2017)
    “…A review of contemporary methods for determining integrated parameters of the water content in the atmosphere―atmospheric water-vapor content and cloud…”
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    Journal Article
  6. 6

    External Calibration of MTVZA-GYa Microwave Radiometer Measurements in Scanner Channels. Part 2. The Experiment by Zabolotskikh, E. V., Balashova, E. A.

    Published in Russian meteorology and hydrology (01-11-2021)
    “…The external calibration of measurements in eight MTVZA-GYa scanner channels on board the Meteor-M No. 2-2 satellite in the frequency range of 10.6–36.5 GHz is…”
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    Journal Article
  7. 7

    Arctic Sea X-band Microwave Emission Modeling Based on Satellite Data: Considering the Measurement Angle by Zabolotskikh, E. V., Chapron, B.

    Published in Russian meteorology and hydrology (01-04-2021)
    “…The ocean X-band microwave emission model for modeling measurements of satellite radiometers over the cold Arctic seas at an observation angle of 65° is…”
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    Journal Article
  8. 8

    Evaluation of Model Simulations of Polar Lows with Satellite Data by Khvorostovsky, K. S., Yarusov, K. I., Zabolotskikh, E. V.

    “…The Weather Research and Forecasting (WRF) model simulations of several Polar lows observed in the Barents and Norwegian seas are evaluated using satellite…”
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    Conference Proceeding
  9. 9

    Accuracy of Era-Interim Re-analysis Data on Some Atmospheric Parameters over Open Oceans, Estimated with the AMSR2 Data by Zabolotskikh, E. V., Chapron, B.

    “…The accuracy of the European Centre for Medium-Range Weather Forecasts Interim Reanalysis (Era-Interim) data on total atmospheric water vapor content (WVC),…”
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    Conference Proceeding
  10. 10

    Comparison of Satellite Products on Total Atmospheric Water Vapor Content over the Arctic Sea Ice by Zabolotskikh, E. V., Chapron, B.

    “…The accuracy of two satellite products on the atmospheric total water vapor content (WVC) over the Arctic sea ice is estimated with Era-Interim reanalysis WVC…”
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    Conference Proceeding
  11. 11

    Performance of Operational AMSR2 Based Sea Ice Concentration Retrieval Algorithms under Extreme Weather Conditions by Zhivotovskaya, M. A., Zabolotskikh, E. V., Chapron, B.

    “…Satellite products on sea ice concentration (SIC), based on the measurements of the Advanced Microwave Scanning Radiometer 2 (AMSR2), are analyzed in the…”
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    Conference Proceeding
  12. 12

    Neural network-based method for the estimation of the rain rate over oceans by measurements of the satellite radiometer AMSR2 by Zabolotskikh, E. V., Chapron, B.

    “…The rain rate (RR) retrieval method for the RR estimation over ice-free areas of the ocean is presented. Measurements of the Japanese Advanced Microwave…”
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    Journal Article
  13. 13

    New areas of polar lows over the Arctic as a result of the decrease in sea ice extent by Zabolotskikh, E. V., Gurvich, I. A., Chapron, B.

    Published in Izvestiya. Atmospheric and oceanic physics (01-12-2015)
    “…Three mesocyclones (MCs) over the Russian (Eastern) Arctic are investigated using multispectral satellite remote sensing data, surface analysis maps, and…”
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    Journal Article
  14. 14

    Statistical characteristics of polar lows over the Nordic Seas based on satellite passive microwave data by Smirnova, J. E., Zabolotskikh, E. V., Bobylev, L. P., Chapron, B.

    Published in Izvestiya. Atmospheric and oceanic physics (01-12-2016)
    “…In this study polar lows over the Nordic Seas for the period of 1995–2008 have been detected and studied using the Special Sensor Microwave Imager (SSM/I)…”
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    Journal Article
  15. 15

    Sea surface wind and Sea ice in the Barents Sea using microwave sensing data from Meteor-M N1 and GCOM-W1 satellites in January–March 2013 by Mitnik, L. M., Mitnik, M. L., Chernyavsky, G. M., Cherny, I. V., Vykochko, A. V., Pichugin, M. K., Zabolotskikh, E. V.

    Published in Izvestiya. Atmospheric and oceanic physics (01-12-2016)
    “…Application of satellite passive microwave sensing for the retrieval of key climatic parameters in the Barents Sea is considered. Fields of surface wind,…”
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    Journal Article
  16. 16

    Influence of baroclinicity in the atmospheric boundary layer and Ekman friction on the surface wind speed during cold-air outbreaks in the Arctic by Chechin, D. G., Zabolotskikh, E. V., Repina, I. A., Shapron, B.

    Published in Izvestiya. Atmospheric and oceanic physics (01-03-2015)
    “…Extreme cases of cold-air outbreaks in the Arctic during spring 2013 are identified using MODIS images from Terra and Aqua satellites. Spatial variability of…”
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    Journal Article
  17. 17

    Analyzing the Accuracy of ERA-Interim Data on Total AtmosphericWater Vapor in the Arctic Estimated from AMSR2 Data by Zabolotskikh, E V, Chapron, B

    Published in Russian meteorology and hydrology (01-01-2020)
    “…The accuracy of the ERA-Interim reanalysis data on total atmospheric water vapor is assessed using the AMSR2 (Advanced Microwave Scanning Radiometer 2)…”
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    Journal Article
  18. 18

    Arctic Ocean Surface Type Classification Using SAR Images and Machine Learning Algorithms by Balashova, E. A., Zabolotskikh, E. V., Azarov, S. M., Khvorostovsky, K., Chapron, Bertrand

    “…This work is aimed at the investigation of the application of general machine learning (ML) algorithms, used typically for image recognition, to ocean surface…”
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    Conference Proceeding
  19. 19

    Verification of Polar Low Modeling Results with Satellite Data by Khvorostovsky, K. S., Yarusov, K. I., Zabolotskikh, E. V.

    “…The work presents a verification of the Weather Research and Forecasting (WRF) model simulations of the surface wind speed (SWS) and track for the eight Polar…”
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    Conference Proceeding
  20. 20

    Analyzing the Accuracy of ERA-Interim Data on Total Atmospheric Water Vapor in the Arctic Estimated from AMSR2 Data by Zabolotskikh, E. V., Chapron, B.

    Published in Russian meteorology and hydrology (01-03-2020)
    “…The accuracy of the ERA-Interim reanalysis data on total atmospheric water vapor is assessed using the AMSR2 (Advanced Microwave Scanning Radiometer 2)…”
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    Journal Article