利用Sentinel-1/SAR和AMSR2数据估算罗斯海冰架沿岸风吹冰间湖海冰产量  

Estimation of sea ice production in wind-blown polynyas along the Ross Sea Ice Shelf using Sentinel-1/SAR and AMSR2 data

作　　者：李阳 戴礼云 车涛 LI Yang;DAI Liyun;CHE Tao(Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China;National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring,Lanzhou 730070,China;Key Laboratory of Science and Technology in Surveying&Mapping,Gansu Province,Lanzhou 730070,China;State Key Laboratory of Cryospheric Science and Frozen Soil Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China)

机构地区：[1]兰州交通大学测绘与地理信息学院,甘肃兰州730070 [2]地理国情监测技术应用国家地方联合工程研究中心,甘肃兰州730070 [3]甘肃省测绘科学与技术重点实验室,甘肃兰州730070 [4]中国科学院西北生态环境资源研究院,冰冻圈科学与冻土工程全国重点实验室,甘肃兰州730000

出　　处：《冰川冻土》2025年第1期30-41,共12页Journal of Glaciology and Geocryology

基　　金：中国科学院国际伙伴计划全球共性挑战专项(121362KYSB20210024);国家自然科学基金项目(42171143)资助。

摘　　要：南极海冰产量对全球气候系统的调节发挥了重要作用,其中,罗斯冰架冰间湖区域的贡献尤为显著。罗斯冰架冰间湖属于沿岸冰间湖,风吹作用引起的沿岸冰间湖对海冰产量的贡献不可忽视。本文利用Sentinel-1/SAR数据确定风吹作用下冰间湖的范围,然后利用AMSR2数据获取冰间湖区被风吹走的海冰厚度。通过此方法,本研究识别了2019—2021年罗斯海地区每次风吹冰间湖范围以及风导致的冰间湖海冰产量,并结合已有研究,分析了2017—2021年罗斯海地区风吹冰间湖产冰面积、厚度及体积的年内和年际变化。结果显示,风吹冰间湖事件主要集中在每年的3月中旬至11月中旬,海冰产量主要集中在7月、8月、9月,事件平均厚度范围1~30 cm,年度次数72~114次,体积范围196~284 km^(3),5年间海冰产量呈现了先上升再下降的趋势。与传统的海冰体积测算方法相比,本方法精确识别和量化了罗斯海地区冰间湖的范围和冰间湖产冰事件的时间及频次,为理解南极海冰在全球气候变化中的作用提供了新的科学证据。This study investigates the significant role of Antarctic sea ice in the global climate system,with a specific focus on the contribution of coastal polynyas,particularly in the Ross Ice Shelf region.Polynyas,areas of open water within the sea ice cover,are known to be critical sites for sea ice production,influenced predominantly by wind-driven processes.The Ross Ice Shelf polynya,a prominent feature in the Southern Ocean,is one of the most important regions for understanding the mechanisms of sea ice production and its implications for global climate dynamics.The primary aim of this research is to accurately determine the extent of the polynya and the volume of sea ice produced within it,under the influence of wind.Traditional methods for estimating sea ice volume often do not account for the contributions of polynyas,leading to an incomplete understanding of their role in sea ice dynamics.This study addresses this gap by using advanced remote sensing techniques to identify the spatial extent of the polynya,measure the frequency of sea ice production events,and calculate the corresponding volume of sea ice produced.By achieving this,the research provides more accurate estimates of sea ice production in the Antarctic and contributes to a better understanding of its role in the global climate system.To achieve these objectives,the study employs a combination of Sentinel-1 Synthetic Aperture Radar(SAR)data and Advanced Microwave Scanning Radiometer 2(AMSR2)data.The Sentinel-1/SAR data is used to determine the spatial extent of the polynya during wind-driven events.This high-resolution data allows for precise detection of open water areas within the sea ice cover,which are crucial for understanding the dynamics of polynyas.In parallel,the AMSR2 data is used to measure the thickness of the sea ice that forms within the polynya and is subsequently blown away by wind.By integrating these two datasets,the study is able to accurately identify the boundaries of the polynya during wind events and quantify the volume of sea

关 键 词：SAR Sentinel-1 海冰 海冰产量 冰间湖 罗斯冰架 

分 类 号：P728.12[天文地球—海洋科学] P731.15