Arctic Sea Surface Model Derived from Cryosat-2 SAR Mode Data
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.
Key words :
Cryosat-2
Arctic ocean
sea surface
sea ice
satellite altimetry
Cite this article:
CHEN Guodong,CHEN Yu,JIN Taoyong et al. Arctic Sea Surface Model Derived from Cryosat-2 SAR Mode Data[J]. jgg, 2023, 43(6): 606-611.
CHEN Guodong,CHEN Yu,JIN Taoyong et al. Arctic Sea Surface Model Derived from Cryosat-2 SAR Mode Data[J]. jgg, 2023, 43(6): 606-611.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2023/V43/I6/606
[1]
SONG Haotian, WEN Hanjiang,CHENG Pengfei, LIU Huanling, YU Hongxu. Establishment of Mean Sea Surface Height Model Based on Multi-Source Altimetry Data [J]. jgg, 2023, 43(5): 467-473.
[2]
XUE Zhaonan,FENG Wei,CHEN Wei,YANG Yuanyuan,YAN Haoming,ZHONG Min. Numerical Simulation of Sea Level Variations from SWOT Swath Altimetry Satellite: A Case Study in the South China Sea [J]. jgg, 2022, 42(12): 1250-1256.
[3]
MO Deli,ZHAO Yinjun,CHEN Guoqing,LIANG Shan,TONG Kai,LIANG Yulian. Research on Adaptive Waveform Re-Tracking Algorithm Based on Main Peak [J]. jgg, 2021, 41(10): 1051-1056.
[4]
GAO Xianwen,JIN Taoyong,HUANG Hailan. Analysis on the Accuracy of Waveform Retracking for the Coastal Synthetic Aperture Radar Altimeter Data [J]. jgg, 2021, 41(1): 56-62.
[5]
HUANG Zhengkai, WANG Haihong. Preliminary Research on Monitoring Land Subsidence Using the Satellite Altimetry Technology
[J]. jgg, 2020, 40(3): 264-269.
[6]
SHENG Yongyun,YOU Wei,FAN Dongming,GAO Songtao. Impact of Glacial Isostatic Adjustment Model on Global Mass Changes [J]. jgg, 2020, 40(11): 1133-1138.
[7]
FAN Changxin. Latest Advances of Global Ocean Tide Models and Their Accuracy Comparisons in Coastal Areas of China [J]. jgg, 2019, 39(5): 476-481.
[8]
LIU Shengyuan,LI Fei,YANG Yuande. Inversion of Sea Ice Thickness Variation in Beaufort Sea from 2011 to 2017 Based on CryoSat-2 Data [J]. jgg, 2019, 39(12): 1310-1316.
[9]
LI Zi’ang,CHEN Jianli,LI Jin,HU Xiaogong. Temporal and Spatial Variations of Global Steric Sea Level Change from Argo Observations, 2005-2015 [J]. jgg, 2018, 38(9): 923-929.
[10]
LI Dawei,LI Jiancheng,JIN Taoyong. Research on Ocean Tides Derived from Sun-Synchronous Satellite Altimeter Data [J]. jgg, 2018, 38(1): 24-27.
[11]
CHEN Guodong,LI Jiancheng,HUANG Tian. Research on Arctic Sea Ice Freeboard Derived from ICESat/GLAS [J]. jgg, 2017, 37(12): 1291-1296.
[12]
WANG Haihong,LUO Bei,LIANG Yue,et al. Improved Method for Modification of Satellite Radar Altimeter Waveform [J]. jgg, 2016, 36(3): 202-205.
[13]
WANG Liwei,JIN Taoyong,ZHANG Shengjun,LI Dawei. CryoSat-2 Satellite Sea Ice Area Waveform Recognition and Freeboard Determined [J]. jgg, 2015, 35(4): 722-725.
[14]
OUYANG Mingda,SUN Zhongmiao,ZHAI Zhenhe,LIU Xiaogang. Establishment of Bathymetry Model in South China Sea Based on the
Satellite Altimetry-Derived Gravity Anomaly [J]. jgg, 2015, 35(3): 490-494.
[15]
LIANG Ziliang,CHEN Lu,XIE Kun,YUE Jianping,JI Yuanming. Inversion of Marine Gravity Anomalies and Geoid Using
Multi-Satellite Altimeter Data [J]. jgg, 2015, 35(1): 40-44.