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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, Vol. 20, No. 3, pp. 19-34

Atmospheric correction in the Arctic sea ice studies with AMSR2 data

E.V. Zabolotskikh 1 , S.M. Azarov 1 
1 Russian State Hydrometeorological University, Saint Petersburg, Russia
Accepted: 07.06.2023
DOI: 10.21046/2070-7401-2023-20-3-19-34
In this paper we propose a new method for atmospheric correction in the sea ice studies with the data of the Advanced Microwave Scanning Radiometer 2 (AMSR2). The method is based on the results of numerical simulation of brightness temperatures (Tb) of microwave radiation of the atmosphere-sea ice system in the Arctic and on analysis of AMSR2 measurements at a frequency of 89 GHz over the Arctic sea ice. The ERA5 reanalysis data serve as input data for numerical calculations. The basis of the method is estimation of the atmospheric optical thickness at a frequency of 89 GHz from the polarization difference measurements and the retrieval of the atmospheric microwave radiation parameters at all the other frequencies with neural networks algorithms trained on the results of Tb simulation. The numerical simulation is based on the solution of microwave radiation transfer equation under nonscattering conditions. Thus, the method is applicable for atmospheric correction in a dry winter atmosphere from November to March. Application of the method to AMSR2 data requires the usage of a previously developed algorithm for total atmospheric water vapor content retrieval, having high accuracy both over open water and over the Arctic sea ice. The application of the approach will make it possible to study the Arctic sea ice using the AMSR2 data without atmospheric influence, as well as to improve the accuracy of sea ice concentration retrievals without involving any additional data.
Keywords: Arctic, atmospheric correction, satellite passive microwave remote sensing, sea ice, numerical modeling, AMSR2
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