格陵兰冰质量载荷GNSS和GRACE数据联合反演

IF 4.8 1区 地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS
Yang Xie , Linsong Wang , Michael Bevis , Shfaqat A. Khan , Zhenran Peng
{"title":"格陵兰冰质量载荷GNSS和GRACE数据联合反演","authors":"Yang Xie ,&nbsp;Linsong Wang ,&nbsp;Michael Bevis ,&nbsp;Shfaqat A. Khan ,&nbsp;Zhenran Peng","doi":"10.1016/j.epsl.2025.119329","DOIUrl":null,"url":null,"abstract":"<div><div>Rapid melting of the Greenland Ice Sheet (GrIS) in response to global warming has been a major contributor to global sea level rise in the last 20 years. The ability of the Gravity Recovery and Climate Experiment (GRACE) to estimate GrIS mass changes is limited by its coarse (∼330 × 330 km<sup>2</sup>) spatial resolution. The Greenland Geodetic Network (GNET) senses the solid Earth's elastic responses to changing ice mass loads, as well as glacial isostatic adjustment (GIA). The GNET stations are sensitive to local ice mass changes at the scale of tens of kilometers, but have poor spatial coverage compared to GRACE, since all bedrock Global Navigation Satellite System (GNSS) stations are located near the margins of the GrIS. GRACE gravity observations and GNSS measurements of crustal displacement provide complementary constraints on GrIS mass changes. Here, we exploit this complementarity, by developing a joint inversion method that combines the norms of gradients and makes judicious use of the <span>l</span>-curve to estimate GrIS mass changes at 0.25°- grids. We modify the Laplacian operator, commonly used in previous studies, to make it suitable for the irregular inversion area and to avoid unrealistic inversion results at the land-sea boundary in Greenland. We have adopted a new weight allocation strategy to ensure that GRACE and GNSS data make similar contributions to the joint inversion results, avoiding the loss of information contained in GNSS due to the difference in spatial coverage between the two types of data. The joint inversion results are compared to satellite altimetry-derived GrIS mass changes and two GNET verification sites not involved in the inversion. This joint inversion method most strongly improves the spatial resolution of ice mass change estimates in low-altitude areas of Greenland. We recovered the melting signal of the GrIS leaking into the non-ice-covered land, and joint inversion indicates during January 2008 to December 2020 an ice mass trend (-254.0 Gt/yr) which is slightly slower than that inferred using GRACE mascon methods (-261.3 Gt/yr), but the annual amplitude of ice mass change (152.6 Gt) is significantly higher than GRACE (135.0 Gt). We identified areas with significant changes in ice mass that were not resolved by GRACE, and found (not surprisingly) that mass fluctuations were greater at outlet glacier locations than in adjacent areas of the ice sheet. Ice mass changes inferred from vertical land motion are sensitive to GIA corrections, and the difference in the rate of ice mass loss evaluated using different GIA models can reach around 20 Gt/yr, similar to GRACE-inferred mass estimates. This study successfully applies inverting GNSS and GRACE data for ice mass change at the edge of Greenland.</div></div>","PeriodicalId":11481,"journal":{"name":"Earth and Planetary Science Letters","volume":"658 ","pages":"Article 119329"},"PeriodicalIF":4.8000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint inversion of GNSS and GRACE data for ice mass loads in Greenland\",\"authors\":\"Yang Xie ,&nbsp;Linsong Wang ,&nbsp;Michael Bevis ,&nbsp;Shfaqat A. Khan ,&nbsp;Zhenran Peng\",\"doi\":\"10.1016/j.epsl.2025.119329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Rapid melting of the Greenland Ice Sheet (GrIS) in response to global warming has been a major contributor to global sea level rise in the last 20 years. The ability of the Gravity Recovery and Climate Experiment (GRACE) to estimate GrIS mass changes is limited by its coarse (∼330 × 330 km<sup>2</sup>) spatial resolution. The Greenland Geodetic Network (GNET) senses the solid Earth's elastic responses to changing ice mass loads, as well as glacial isostatic adjustment (GIA). The GNET stations are sensitive to local ice mass changes at the scale of tens of kilometers, but have poor spatial coverage compared to GRACE, since all bedrock Global Navigation Satellite System (GNSS) stations are located near the margins of the GrIS. GRACE gravity observations and GNSS measurements of crustal displacement provide complementary constraints on GrIS mass changes. Here, we exploit this complementarity, by developing a joint inversion method that combines the norms of gradients and makes judicious use of the <span>l</span>-curve to estimate GrIS mass changes at 0.25°- grids. We modify the Laplacian operator, commonly used in previous studies, to make it suitable for the irregular inversion area and to avoid unrealistic inversion results at the land-sea boundary in Greenland. We have adopted a new weight allocation strategy to ensure that GRACE and GNSS data make similar contributions to the joint inversion results, avoiding the loss of information contained in GNSS due to the difference in spatial coverage between the two types of data. The joint inversion results are compared to satellite altimetry-derived GrIS mass changes and two GNET verification sites not involved in the inversion. This joint inversion method most strongly improves the spatial resolution of ice mass change estimates in low-altitude areas of Greenland. We recovered the melting signal of the GrIS leaking into the non-ice-covered land, and joint inversion indicates during January 2008 to December 2020 an ice mass trend (-254.0 Gt/yr) which is slightly slower than that inferred using GRACE mascon methods (-261.3 Gt/yr), but the annual amplitude of ice mass change (152.6 Gt) is significantly higher than GRACE (135.0 Gt). We identified areas with significant changes in ice mass that were not resolved by GRACE, and found (not surprisingly) that mass fluctuations were greater at outlet glacier locations than in adjacent areas of the ice sheet. Ice mass changes inferred from vertical land motion are sensitive to GIA corrections, and the difference in the rate of ice mass loss evaluated using different GIA models can reach around 20 Gt/yr, similar to GRACE-inferred mass estimates. This study successfully applies inverting GNSS and GRACE data for ice mass change at the edge of Greenland.</div></div>\",\"PeriodicalId\":11481,\"journal\":{\"name\":\"Earth and Planetary Science Letters\",\"volume\":\"658 \",\"pages\":\"Article 119329\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Earth and Planetary Science Letters\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0012821X25001281\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth and Planetary Science Letters","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0012821X25001281","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0

摘要

格陵兰冰盖(GrIS)因全球变暖而迅速融化是过去20年全球海平面上升的主要原因。重力恢复和气候试验(GRACE)估算GrIS质量变化的能力受到其粗糙(~ 330 × 330 km2)空间分辨率的限制。格陵兰大地测量网(GNET)探测固体地球对变化的冰质量负荷的弹性响应,以及冰川均衡调整(GIA)。GNET站点对几十公里尺度的局部冰质量变化敏感,但由于所有基岩全球导航卫星系统(GNSS)站点都位于GrIS边缘附近,因此与GRACE相比,GNET站点的空间覆盖率较低。GRACE重力观测和GNSS地壳位移测量为GrIS质量变化提供了互补约束。在这里,我们通过开发一种联合反演方法来利用这种互补性,该方法结合了梯度规范,并明智地使用l曲线来估计0.25°-栅格的GrIS质量变化。我们对以往研究中常用的拉普拉斯算子进行了修改,使其适用于不规则的反演区域,避免了格陵兰海陆边界处不现实的反演结果。为了保证GRACE和GNSS数据对联合反演结果的贡献相似,我们采用了新的权重分配策略,避免了由于两类数据空间覆盖范围的差异而导致GNSS数据所含信息的丢失。联合反演结果与卫星测高得到的GrIS质量变化和两个未参与反演的GNET验证点进行了比较。该联合反演方法对格陵兰低海拔地区冰质量变化估算的空间分辨率提高最大。联合反演显示,2008年1月至2020年12月,GrIS渗漏到非冰覆盖陆地的融化信号呈-254.0 Gt/yr的趋势,比GRACE mascon方法推断的-261.3 Gt/yr略慢,但冰质量年变化幅度(152.6 Gt)明显高于GRACE (135.0 Gt)。我们确定了GRACE没有解决的冰质量显著变化的区域,并发现(不足为奇)冰川出口位置的质量波动比冰盖邻近区域更大。根据垂直陆地运动推断的冰质量变化对GIA校正很敏感,使用不同GIA模型评估的冰质量损失率的差异可以达到20 Gt/年左右,与grace推断的质量估计值相似。本研究成功应用GNSS和GRACE数据反演格陵兰岛边缘冰质量变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint inversion of GNSS and GRACE data for ice mass loads in Greenland
Rapid melting of the Greenland Ice Sheet (GrIS) in response to global warming has been a major contributor to global sea level rise in the last 20 years. The ability of the Gravity Recovery and Climate Experiment (GRACE) to estimate GrIS mass changes is limited by its coarse (∼330 × 330 km2) spatial resolution. The Greenland Geodetic Network (GNET) senses the solid Earth's elastic responses to changing ice mass loads, as well as glacial isostatic adjustment (GIA). The GNET stations are sensitive to local ice mass changes at the scale of tens of kilometers, but have poor spatial coverage compared to GRACE, since all bedrock Global Navigation Satellite System (GNSS) stations are located near the margins of the GrIS. GRACE gravity observations and GNSS measurements of crustal displacement provide complementary constraints on GrIS mass changes. Here, we exploit this complementarity, by developing a joint inversion method that combines the norms of gradients and makes judicious use of the l-curve to estimate GrIS mass changes at 0.25°- grids. We modify the Laplacian operator, commonly used in previous studies, to make it suitable for the irregular inversion area and to avoid unrealistic inversion results at the land-sea boundary in Greenland. We have adopted a new weight allocation strategy to ensure that GRACE and GNSS data make similar contributions to the joint inversion results, avoiding the loss of information contained in GNSS due to the difference in spatial coverage between the two types of data. The joint inversion results are compared to satellite altimetry-derived GrIS mass changes and two GNET verification sites not involved in the inversion. This joint inversion method most strongly improves the spatial resolution of ice mass change estimates in low-altitude areas of Greenland. We recovered the melting signal of the GrIS leaking into the non-ice-covered land, and joint inversion indicates during January 2008 to December 2020 an ice mass trend (-254.0 Gt/yr) which is slightly slower than that inferred using GRACE mascon methods (-261.3 Gt/yr), but the annual amplitude of ice mass change (152.6 Gt) is significantly higher than GRACE (135.0 Gt). We identified areas with significant changes in ice mass that were not resolved by GRACE, and found (not surprisingly) that mass fluctuations were greater at outlet glacier locations than in adjacent areas of the ice sheet. Ice mass changes inferred from vertical land motion are sensitive to GIA corrections, and the difference in the rate of ice mass loss evaluated using different GIA models can reach around 20 Gt/yr, similar to GRACE-inferred mass estimates. This study successfully applies inverting GNSS and GRACE data for ice mass change at the edge of Greenland.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Earth and Planetary Science Letters
Earth and Planetary Science Letters 地学-地球化学与地球物理
CiteScore
10.30
自引率
5.70%
发文量
475
审稿时长
2.8 months
期刊介绍: Earth and Planetary Science Letters (EPSL) is a leading journal for researchers across the entire Earth and planetary sciences community. It publishes concise, exciting, high-impact articles ("Letters") of broad interest. Its focus is on physical and chemical processes, the evolution and general properties of the Earth and planets - from their deep interiors to their atmospheres. EPSL also includes a Frontiers section, featuring invited high-profile synthesis articles by leading experts on timely topics to bring cutting-edge research to the wider community.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信