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基于卫星重力和测高数据的格陵兰冰盖质量变化分析

李光宇 赵旭

极地研究2024,Vol.36Issue(2):199-210,12.
极地研究2024,Vol.36Issue(2):199-210,12.DOI:10.13679/j.jdyj.20230026

基于卫星重力和测高数据的格陵兰冰盖质量变化分析

Analysis of Greenland Ice Sheet mass changes using satellite gravity and altimetry data

李光宇 1赵旭2

作者信息

  • 1. 内蒙古交通职业技术学院,内蒙古 赤峰 024005
  • 2. 中国地质大学(北京)地球物理与信息技术学院,北京 100083
  • 折叠

摘要

Abstract

Global sea levels would rise by 7 m,if the Greenland Ice Sheet(GrIS)were to melt completely.There-fore,an accurate estimate of the mass change over the GrIS is of great importance for the understanding of the reaction of the GrIS to global climate change.Using nearly 20 years of monthly gravity field data pro-vided by the Gravity Recovery and Climate Experiment(GRACE)and GRACE-Follow On(GRACE-FO)mission,as well as satellite altimetry data from European Remote Sensing(ERS-2),Envisat,and CryoSat-2,this study comparatively analyzes the characteristics of GrIS mass change between April 2002 and Decem-ber 2020.Results demonstrate that:(1)the spatial distributions of mass change trends estimated by GRACE/GRACE-FO mascon solutions and satellite altimetry data are relatively consistent;both indicate severe mass loss in the low-elevation regions around the GrIS margin and a mass accumulation in the inner plateau.(2)The mass loss of the GrIS contributed to a global mean sea level change of 0.73±0.01 mm·a-1 between 2002 and 2020.(3)The southwest and northwest regions of the GrIS contributed to 43.69%of the total sea level change,making them the primary contributors to sea level rise.(4)We compared basin-scale mass change estimates from the satellite altimetry with those from mascon solutions and found that the Goddard Space Flight Center(GSFC)mascon solutions is the closest.

关键词

格陵兰冰盖/海平面变化/质量变化/卫星重力和测高/时空变化

Key words

Greenland Ice Sheet/sea-level change/mass change/satellite gravity and altimetry/spa-tio-temporal characteristics

引用本文复制引用

李光宇,赵旭..基于卫星重力和测高数据的格陵兰冰盖质量变化分析[J].极地研究,2024,36(2):199-210,12.

基金项目

国家自然科学基金(42171438)资助 (42171438)

极地研究

OA北大核心CSTPCD

1007-7073

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