利用航空重力反演格陵兰近海船测海深数据空白区域的海底地形

批准号:
42006197
项目类别:
青年科学基金项目
资助金额:
24.0 万元
负责人:
杨军军
依托单位:
学科分类:
极地科学
结题年份:
2023
批准年份:
2020
项目状态:
已结题
项目参与者:
杨军军
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中文摘要
海底地形通过影响洋流路径对海水热量分布产生影响,是研究冰-海相互作用不可或缺的基础资料。然而,在格陵兰近海这一冰川与海洋交界的关键地带,船测海深数据较少,这使得冰川学家难以判断底层温暖海水到达了哪些冰川的前缘,也难以准确地建模分析温暖海水对冰川消融的影响。本项目拟基于改进的模拟退火法处理NASA“海洋融化格陵兰”任务测量的航空重力数据,获取并发布格陵兰东南、东北、西北部近海2km分辨率的高精度海底地形模型;然后分析反演中的各项误差并利用船测海深来评定模型精度;最后利用新模型识别现有海底地形图未呈现的海槽、海底山脊等关键地貌,并分析其对温暖海水从外海至冰川前缘的传输路径的影响。本项目可以为冰-海相互作用研究提供数据支撑,有助于更准确地模拟和预测格陵兰冰川在温暖海水驱动下的未来演变及其对全球海平面变化的影响,还能为我国利用自主航空遥感平台“雪鹰601”开展极地研究提供技术储备。
英文摘要
Seafloor topography influences the distribution of ocean heat by affecting the pathways of ocean currents and thus is indispensable and fundamental data for studying ocean-ice interaction. However, few ship bathymetric data are available on the inner continental shelf surrounding Greenland, the critical zone where ocean interacts with the glaciers. So, it is difficult for glaciologists to determine which glaciers’ calving fronts are susceptible to warm deep water, and to accurately simulate the impact of warm ocean water on glacier melting. This proposal plans to infer seafloor topography of southeast, northeast, and northwest Greenland from airborne gravity disturbance measured by National Aeronautics and Space Administration’s Oceans Melting Greenland mission through improved simulated annealing, and results in a high-accuracy model with 2 km resolution for public release. Errors associated with gravity inversion will be analyzed, and the accuracy of the model will be evaluated using ship soundings. The previously unknown topographic features (i.e., troughs, ridges) will be identified by the new model, and their impact on the transportation of warm ocean water from beyond continental shelf to the calving front of glaciers will be analyzed. This project could provide data sets for ocean-ice interaction research, and thus contributes to an improved modeling and prediction of future evolution of Greenland glaciers driven by warm ocean water and its impact on global sea level change. This project could also accumulate technical reserves for China’s polar researches using its own airborne remote sensing platform, “Snow Eagle 601”.
期刊论文列表
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专利列表
DOI:10.1007/s11600-022-00804-9
发表时间:2022
期刊:Acta Geophysica
影响因子:2.3
作者:Liu Qiang;Yao Changli;Luo Yao;Yang Junjun;Li Zelin
通讯作者:Li Zelin
DOI:10.13695/j.cnki.12-1222/o3.2022.05.007
发表时间:2022
期刊:中国惯性技术学报
影响因子:--
作者:范雕;李姗姗;赵冬明;杨军军;孟书宇;范昊鹏
通讯作者:范昊鹏
DOI:--
发表时间:2021
期刊:测绘学报
影响因子:--
作者:杨军军
通讯作者:杨军军
Automatic Interpretation of Potential Field Data Based on Euler Deconvolution with Linear Background
DOI:10.3390/app13095323
发表时间:2023-04
期刊:Applied Sciences
影响因子:--
作者:Qiang Liu;Qing Shu;Wei Gao;Yao Luo;Zelin Li;Junjun Yang;Wenqiang Xu
通讯作者:Qiang Liu;Qing Shu;Wei Gao;Yao Luo;Zelin Li;Junjun Yang;Wenqiang Xu
DOI:10.1029/2021gl096215
发表时间:2021-12
期刊:Geophysical Research Letters
影响因子:5.2
作者:Junjun Yang;Jingxue Guo;J. Greenbaum;X. Cui;L. Tu;Lin Li;Lenneke M. Jong;Xueyuan Tang;
通讯作者:Junjun Yang;Jingxue Guo;J. Greenbaum;X. Cui;L. Tu;Lin Li;Lenneke M. Jong;Xueyuan Tang;
国内基金
海外基金
