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Remote sensing of southern ocean sea surface temperature: implications for marine biophysical models

机译:遥感南部海洋海表温度:对海洋生物物理模型的影响

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摘要

Nineteen years of Advanced Very High Resolution Radiometer Multi-Channel Sea Surface Temperature (AVHRR MCSST) data were used to calculate monthly averages of sea surface temperatures (SSTs) for a large region of the Southern Ocean centred on Macquarie Island. Between October and February, the MCSST data were a reliable source of SSTs north of 60°S, but their quality (i.e. spatial and temporal density) was degraded severely at higher latitudes. Between April and August, the interpolated MCSST data were found to be unreliable in the study area, even at latitudes as low as 45°S. A specific problem has been identified to the west of Tasmania in the winter interpolated climatology which is likely an artefact of interpolation of sparse data. The poor coverage of valid MCSSTs during this time limits the data's application for many uses. Although the limitations of the MCSST data set are well recognised, the possibilities for ecological applications of these data remain largely unexplored and unquantified. The potential exists to maximize the information available from this and other similar data sets by determining the appropriate spatial and temporal scales at which they are best applied to biophysical models.
机译:十九年的先进超高分辨率辐射计多通道海面温度(AVHRR MCSST)数据用于计算以麦格理岛为中心的南大洋地区的海面温度(SST)的月平均值。在10月到2月之间,MCSST数据是60°S以北的海表温度的可靠来源,但其质量(即时空密度)在高纬度地区严重退化。在4月和8月之间,即使在低至45°S的纬度下,研究区域内插的MCSST数据也不可靠。塔斯马尼亚州西部的冬季插值气候学中已经发现了一个具体问题,这很可能是稀疏数据插值的伪影。在此期间,有效MCSST的覆盖范围较差,限制了数据在多种用途中的应用。尽管已经很好地认识到了MCSST数据集的局限性,但这些数据在生态学上的应用可能性仍未得到充分探索和量化。通过确定适当的时空尺度,将这些信息和其他类似数据集最佳地应用于生物物理模型,可以最大程度地利用该信息集和其他类似数据集的信息。

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