邹小伟, 李昭, 杨堤益, 王泽, 周宗锟, 单强, 孙维君, 丁明虎, 姜卫平. 格陵兰冰盖质量变化及其驱动机制研究进展[J]. 武汉大学学报 ( 信息科学版), 2023, 48(7): 1192-1203. DOI: 10.13203/j.whugis20220693
引用本文: 邹小伟, 李昭, 杨堤益, 王泽, 周宗锟, 单强, 孙维君, 丁明虎, 姜卫平. 格陵兰冰盖质量变化及其驱动机制研究进展[J]. 武汉大学学报 ( 信息科学版), 2023, 48(7): 1192-1203. DOI: 10.13203/j.whugis20220693
ZOU Xiaowei, LI Zhao, YANG Diyi, WANG Ze, ZHOU Zongkun, SHAN Qiang, SUN Weijun, DING Minghu, JIANG Weiping. Advance of Mass Change and Driving Mechanism Research on Greenland Ice Sheet[J]. Geomatics and Information Science of Wuhan University, 2023, 48(7): 1192-1203. DOI: 10.13203/j.whugis20220693
Citation: ZOU Xiaowei, LI Zhao, YANG Diyi, WANG Ze, ZHOU Zongkun, SHAN Qiang, SUN Weijun, DING Minghu, JIANG Weiping. Advance of Mass Change and Driving Mechanism Research on Greenland Ice Sheet[J]. Geomatics and Information Science of Wuhan University, 2023, 48(7): 1192-1203. DOI: 10.13203/j.whugis20220693

格陵兰冰盖质量变化及其驱动机制研究进展

Advance of Mass Change and Driving Mechanism Research on Greenland Ice Sheet

  • 摘要: 作为地球气候系统演变的“预示器”,格陵兰冰盖(Greenland ice sheet, GrIS)质量变化不仅是全球气候变化研究的重点领域,也是海平面变化研究的关键科学问题。结合多种大地测量技术及气候模式等回顾了GrIS近几十年质量变化,总结了不同手段的优缺点及其质量变化机制。基于卫星重力、测高等多种手段的研究结果表明,受不同手段自身特点的影响,计算的GrIS质量变化存在明显差异,导致对海平面变化的预测存在较大不确定性。GrIS质量的快速变化与多种驱动机制相关,包括地理环境导致的辐射反馈,海洋、大气热力过程及冰盖动力过程等影响。然而,不同机制之间的相互作用仍待进一步研究。针对目前手段和机制存在的不足,指出多源数据的融合应用、极地冰盖模式的进一步优化等可能是未来GrIS质量变化及其气候变化响应研究的重要方向。

     

    Abstract:
      Objectives  As an indicator of Earth's climate system, the mass change of Greenland ice sheet (GrIS) has been becoming a hot topic at global climate change, and it is key scientific issues that research sea level change.
      Methods  We discuss the GrIS mass balance in recent multiyear based on the geodesy technique and climate model with analysis of the mechanism, and summarize the weakness and strength for each method.
      Results  The results based on various methods such as satellite gravity and altitude measurement indicate that there are significant differences in the calculated GrIS mass changes due to the inherent characteristics of different methods, resulting in significant uncertainty for future sea level projection. The quickly change of GrIS mass is closely related with multiple driving factors, includes radiation feedback accounted for geographical environment, thermodynamic process of marine and atmospheric, ice sheet dynamic process, and so on.
      Conclusions  However, the interaction between different mechanisms is still inconclusive. It is further pointed out that the application of multi-source data fusion, and the further optimization of polar ice sheet models will be important directions for the future study of GrIS quality change and its response to climate change.

     

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