Abstract: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.