This study presented an extended time series of ice production in Antarctic coastal polynyas for 20 years of 2002–21 using high spatial resolution satellite data from passive microwave sensors: the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and the Advanced Microwave Scanning Radiometer 2 (AMSR2). For this, we reconstructed the previously presented thin ice thickness algorithms and re-estimated ice production by replacing atmospheric input data for the heat flux calculations with the newly released ECMWF Reanalysis v5 (ERA5). The consistency of ice production between AMSR-E and AMSR2, whose operation periods do not overlap, was confirmed from comparisons with ice production by the Special Sensor Microwave/Imager (SSM/I) and the Special Sensor Microwave Imager Sounder (SSMIS) with relatively coarse spatial resolution. The open ocean area, which cannot be detected from the thin ice thickness algorithm, was defined using sea-ice concentration (SIC) from AMSR-E and AMSR2. The satellite derived SIC has been suggested to be underestimated in the new thin ice (polynya) area. The effect of the underestimation on the ice production estimation was evaluated. The underestimation of SIC from three major algorithms was also investigated from comparisons with the thin ice thickness presented in this study. The coastal polynya dataset covering 20 years with the higher spatial resolution presented in this study is vital for climate-change-related studies.

这项研究利用来自无源微波传感器（EOS 先进微波扫描辐射计（AMSR-E）和先进微波扫描辐射计）的高空间分辨率卫星数据，提出了 2002-21 年 20 年南极沿海冰间湖产冰的延长时间序列。 2（AMSR2）。为此，我们重建了先前提出的薄冰厚度算法，并通过用新发布的 ECMWF Reanalysis v5 (ERA5) 替换用于热通量计算的大气输入数据来重新估计冰产量。通过与特殊传感器微波/成像仪（SSM/I）和特殊传感器微波成像测深仪（SSMIS）的产冰量比较，确认了运行周期不重叠的 AMSR-E 和 AMSR2 的产冰量的一致性。粗空间分辨率。无法通过薄冰厚度算法检测到的公海区域是使用 AMSR-E 和 AMSR2 中的海冰浓度 (SIC) 定义的。有人建议在新的薄冰（冰间湖）区域中低估了卫星衍生的 SIC。评估了低估对产冰量估计的影响。通过与本研究中提出的薄冰厚度的比较，还研究了三种主要算法对 SIC 的低估。本研究提供的覆盖20年、具有更高空间分辨率的沿海冰间湖数据集对于气候变化相关研究至关重要。有人建议在新的薄冰（冰间湖）区域中低估了卫星衍生的 SIC。评估了低估对产冰量估计的影响。通过与本研究中提出的薄冰厚度的比较，还研究了三种主要算法对 SIC 的低估。本研究提供的覆盖20年、具有更高空间分辨率的沿海冰间湖数据集对于气候变化相关研究至关重要。有人建议在新的薄冰（冰间湖）区域中低估了卫星衍生的 SIC。评估了低估对产冰量估计的影响。通过与本研究中提出的薄冰厚度的比较，还研究了三种主要算法对 SIC 的低估。本研究提供的覆盖20年、具有更高空间分辨率的沿海冰间湖数据集对于气候变化相关研究至关重要。