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以北极为研究区,使用CryoSat-2数据,利用现有海冰厚度卫星测高研究中4种主流算法(Laxon03算法、Kurtz09算法、Yi11算法和Laxon13算法)分别对北冰洋海冰厚度进行估算,并将估算结果与研究区IceBridge机载激光测高冰厚数据进行了比较,探索各算法海冰厚度估算的差异,寻找最优的估算算法,为估算长时序海冰厚度提供基础和参考。结果表明,4种算法估算的海冰厚度空间分布较为一致,但不同算法估算的结果差异较大,可达0.476m;4种算法估算结果大小依次为Laxon03算法、Yi11算法、Laxon13算法、Kurtz09算法;4种算法估算的平均海冰厚度差异,在北极波弗特海海域最大,其次是北极中心海域、格陵兰和挪威海;Laxon13算法估算结果相对于IceBridge观测结果与其他算法相比,具有最小的平均偏差和均方根误差,是卫星测高估算海冰厚度的最优算法。
In the Arctic, CryoSat-2 data are used to estimate the sea ice thickness of the Arctic Ocean using the four mainstream algorithms (Laxon03, Kurtz09, Yi11 and Laxon13) in the existing sea ice thickness satellite altimetry studies The results were compared with the data of IceBridge airborne altimetry ice thickness in the study area to explore the difference of each algorithm sea ice thickness estimation, find the best estimation algorithm and provide the basis and reference for the estimation of long-time sea ice thickness. The results show that the spatial distribution of sea ice thickness estimated by the four algorithms is consistent, but the results of different algorithms are quite different, up to 0.476 m. The estimated results of four algorithms are Laxon03, Yi11, Laxon13 and Kurtz09 The difference of average sea ice thickness estimated by the four algorithms is the largest in the Beaufort Sea, followed by the Arctic sea center, the Greenland and the Norwegian Sea. Compared with the IceBridge observations, the Laxon 13 algorithm has the lowest The average deviation and root mean square error are the optimal algorithms to estimate sea ice thickness by satellite altimetry.