DOI: 10.5194/esd-11-129-2020
论文题名: A global semi-empirical glacial isostatic adjustment (GIA) model based on Gravity Recovery and Climate Experiment (GRACE) data
作者: Sun Y. ; Riva R.E.M.
刊名: Earth System Dynamics
ISSN: 21904979
出版年: 2020
卷: 11, 期: 1 语种: 英语
Scopus关键词: Budget control
; Geodesy
; Glacial geology
; Sea level
; Earth's rotation
; Empirical model
; Geodetic observation
; Glacial isostatic adjustment
; Global mean sea levels
; Gravity recovery and climate experiment datum
; Model-based OPC
; Origin of the Earth
; Climate models
英文摘要: The effect of glacial isostatic adjustment (GIA) on the shape and gravity of the Earth is usually described by numerical models that solve for both glacial evolution and Earth's rheology, being mainly constrained by the geological evidence of local ice extent and globally distributed sea level data, as well as by geodetic observations of Earth's rotation. In recent years, GPS and GRACE observations have often been used to improve those models, especially in the context of regional studies. However, consistency issues between different regional models limit their ability to answer questions from global-scale geodesy. Examples are the closure of the sea level budget, the explanation of observed changes in Earth's rotation, and the determination of the origin of the Earth's reference frame. Here, we present a global empirical model of present-day GIA, solely based on GRACE data and on geoid fingerprints of mass redistribution.We will show how the use of observations from a single space-borne platform, together with GIA fingerprints based on different viscosity profiles, allows us to tackle the questions from globalscale geodesy mentioned above. We find that, in the GRACE era (2003-2016), freshwater exchange between land and oceans has caused global mean sea level to rise by 1:2±0:2mmyr-11, the geocentre to move by 0:4± 0:1mmyr-11, and the Earth's dynamic oblateness (J2) to increase by 6:0±0:4×10-11 yr-11,. © Author(s) 2020. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159295
Appears in Collections: 气候变化与战略
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作者单位: Key Laboratory of Data Mining and Sharing of Ministration of Education, Fuzhou University, Fuzhou, China; Dept. of Geoscience and Remote Sensing, Delft University of Technology, Delft, Netherlands
Recommended Citation:
Sun Y.,Riva R.E.M.. A global semi-empirical glacial isostatic adjustment (GIA) model based on Gravity Recovery and Climate Experiment (GRACE) data[J]. Earth System Dynamics,2020-01-01,11(1)