利用Cryosat-2 SAR模式数据确定北冰洋海平面模型

Arctic Sea Surface Model Derived from Cryosat-2 SAR Mode Data

围绕Cryosat-2卫星SAR模式测高数据处理方法展开研究,利用决策树算法确定冰间水道观测值提取的参数和阈值,进而建立北冰洋海冰覆盖海域的海平面模型UST-CS2。结果表明,UST-CS2与DTU21海平面模型具有较高的一致性。ICESat-2激光测高数据的验证结果表明,UST-CS2的标准差为10.72 cm,与DTU21等模型精度基本持平,证明该模型具有可靠性。

We study the data processing of Cryosat-2 SAR mode altimetry data in Arctic ocean.We use a decision tree algorithm to determine the parameters and thresholds for the detection of the open lead observations,and then establish a mean sea level model in the ice-covered region of Arctic ocean named UST-CS2.The results show that UST-CS2 has best consistency with DTU21 model,while the validation results of ICESat-2 laser altimetry data show a standard deviation of 10.72 cm,which is close to the results of DTU21.These results indicate that the UST-CS2 is reliable.