Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017GL076644 |
GIA Model Statistics for GRACE Hydrology, Cryosphere, and Ocean Science | |
Caron, L.1; Ivins, E. R.1; Larour, E.1; Adhikari, S.1; Nilsson, J.1; Blewitt, G.2,3 | |
2018-03-16 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS |
ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2018 |
卷号 | 45期号:5页码:2203-2212 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | We provide a new analysis of glacial isostatic adjustment (GIA) with the goal of assembling the model uncertainty statistics required for rigorously extracting trends in surface mass from the Gravity Recovery and Climate Experiment (GRACE) mission. Such statistics are essential for deciphering sea level, ocean mass, and hydrological changes because the latter signals can be relatively small (2mm/yr water height equivalent) over very large regions, such as major ocean basins and watersheds. With abundant new >7year continuous measurements of vertical land motion (VLM) reported by Global Positioning System stations on bedrock and new relative sea level records, our new statistical evaluation of GIA uncertainties incorporates Bayesian methodologies. A unique aspect of the method is that both the ice history and 1-D Earth structure vary through a total of 128,000 forward models. We find that best fit models poorly capture the statistical inferences needed to correctly invert for lower mantle viscosity and that GIA uncertainty exceeds the uncertainty ascribed to trends from 14years of GRACE data in polar regions. |
英文关键词 | GIA Bayesian statistics uncertainty GRACE |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000428402400010 |
WOS关键词 | GLACIAL-ISOSTATIC-ADJUSTMENT ; SEA-LEVEL RISE ; ICE-SHEET ; MANTLE VISCOSITY ; MASS TRENDS ; GRAVITY ; ANTARCTICA ; WATER ; GREENLAND ; SURFACE |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/25491 |
专题 | 气候变化 |
作者单位 | 1.CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA; 2.Univ Nevada, Nevada Bur Mines & Geol, Reno, NV 89557 USA; 3.Univ Nevada, Dept Phys, Reno, NV 89557 USA |
推荐引用方式 GB/T 7714 | Caron, L.,Ivins, E. R.,Larour, E.,et al. GIA Model Statistics for GRACE Hydrology, Cryosphere, and Ocean Science[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(5):2203-2212. |
APA | Caron, L.,Ivins, E. R.,Larour, E.,Adhikari, S.,Nilsson, J.,&Blewitt, G..(2018).GIA Model Statistics for GRACE Hydrology, Cryosphere, and Ocean Science.GEOPHYSICAL RESEARCH LETTERS,45(5),2203-2212. |
MLA | Caron, L.,et al."GIA Model Statistics for GRACE Hydrology, Cryosphere, and Ocean Science".GEOPHYSICAL RESEARCH LETTERS 45.5(2018):2203-2212. |
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