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关键词:微波辐射计 亮温 海冰密集度 北极 Bootstrap算法
Sea ice, as an important part of the global climate system, not only affects the atmosphere and ocean circulation but is also an important indicator of climate change. Sea ice concentration is one of the most significant geophysical parameters to describe polar sea ice. In this paper, we conduct an inversion study of Arctic sea ice concentration based on a Microwave Radiation Imager(MWRI) carried by FY3 series satellites.The daily dynamic tie point of the brightness temperature is determined by linear regression and the threshold method. The influence of weather and land pollution on the sea ice concentration retrieval is eliminated by using a weather filter and land pollution correction methods. The trend of sea ice extent and sea ice area calculated from 2019 to 2020 has a strong correlation with the sea ice concentration products released by NSIDC. The mean differences in the Sea Ice Extent and Sea Ice Area were -0.052 ± 0.015 x 106 km2, -0.401 ± 0.093 x 106 km2, respectively. The sea ice concentration are mainly negative differences, about -3% in winter with mean absolute deviation of 2-4%, and negative deviations of about -8% in summer with mean absolute deviation of about 10%. The accuracy of sea ice concentration datasets based on different algorithms of MWRI is evaluated using SAR data, and the results shows that the retrieval result of Bootstrap algorithm is better than that of NASA Team algorithm. The accuracy is improved by about 1% in winter and about 4% in summer. Dynamic tie points of the brightness temperature effectively reflect the seasonal variation of sea ice radiative characteristics. This research has laid a foundation for the business release of sea ice intensive products of China"s autonomous satellites, which can guarantee the continuity of sea ice records in polar regions facing interruptions for more than 40 years.