Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 5, pp. 193-209
New approach to estimate sea ice edge from ASCAT data
E.V. Zabolotskikh
1 , V.N. Kudryavtsev
1 , E.A. Balashova
1 , S.M. Azarov
1 1 Russian State Hydrometeorological University, Saint Petersburg, Russia
Accepted: 01.07.2022
DOI: 10.21046/2070-7401-2022-19-5-193-209
The paper presents a new approach for the Arctic sea ice edge retrieval using the Advanced Scatterometer (ASCAT) satellite scatterometer data. The approach is based on the root-mean-square difference Δ between the normalized radar cross section (NRCS) from the linear function approximating its dependence on the incidence angle. Using full-resolution ASCAT measurements, sea-ice concentration data retrieved from the measurements of the Advanced Microwave Scanning Radiometer 2 (AMSR2) measurements, and the Arctic and Antarctic Research Institute (AARI) sea ice maps, monthly mean distribution functions of Δ values over sea ice and over sea water for the whole Arctic are built. It is shown that the average values of Δ over water are several times higher than the average values of Δ over sea ice, which makes it possible to estimate the sea ice edge. Average daily ASCAT sea ice edge maps are built and the Arctic sea ice extent (SIE) retrieved from the ASCAT is compared with the AMSR2 sea ice concentration operational satellite products. The general differences do not exceed 1.5 %. Under winter conditions the difference in SIE estimates does not exceed 0.5 %. Summer SIE values retrieved from the ASCAT data exceed SIE calculated from the AMSR2 sea ice concentration data by 3–5 %. The proposed method provides the new opportunities for using scatterometer data. Verification of the method requires additional studies.
Keywords: satellite scatterometers, ASCAT, sea ice, sea ice extent, Arctic
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