DOI: 10.1002/2013GL058632
论文题名: Ensemble prediction and intercomparison analysis of GRACE time-variable gravity field models
作者: Sakumura C. ; Bettadpur S. ; Bruinsma S.
刊名: Geophysical Research Letters
ISSN: 0094-10282
EISSN: 1944-10013
出版年: 2014
卷: 41, 期: 5 起始页码: 1389
结束页码: 1397
语种: 英语
英文关键词: ensemble model
; geodesy
; GRACE
; time-variable gravity
Scopus关键词: Digital storage
; Earth (planet)
; Geodesy
; Water supply
; Ensemble modeling
; GRACE
; Gravitational fields
; Gravity field solution
; Gravity Recovery and Climate Experiment missions
; Processing strategies
; Time-variable gravity
; Water storage variation
; Gravitation
; comparative study
; ensemble forecasting
; error analysis
; geodesy
; GRACE
; gravity field
; noise
; seasonal variation
; time dependent behavior
; water storage
; water supply
英文摘要: Precise measurements of the Earth's time-varying gravitational field from the NASA/Deutsches Zentrum für Luft- und Raumfahrt Gravity Recovery and Climate Experiment (GRACE) mission allow unprecedented tracking of the transport of mass across and underneath the surface of the Earth and give insight into secular, seasonal, and subseasonal variations in the global water supply. Several groups produce these estimates, and while the various gravity fields are similar, differences in processing strategies and tuning parameters result in solutions with regionally specific variations and error patterns. This study examined the spatial, temporal, and spectral variations between the different gravity field products and developed an ensemble gravity field solution from the products of four such analysis centers. The solutions were found to lie within a certain analysis scatter regardless of the local relative water height variation, and the ensemble model is clearly seen to reduce the noise in the gravity field solutions within the available scatter of the solutions. Key Points Ensemble GRACE gravity model reduces error by 5-10mm RMS in total water storage Variations between models on the order of noise in the data Ensemble improves w/in analysis scatter, constrained by rel. model variability ©2014. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84895855681&doi=10.1002%2f2013GL058632&partnerID=40&md5=473089e7225de45b8944608897f0164f
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/7546
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Center for Space Research, University of Texas at Austin, Austin TX, United States
Recommended Citation:
Sakumura C.,Bettadpur S.,Bruinsma S.. Ensemble prediction and intercomparison analysis of GRACE time-variable gravity field models[J]. Geophysical Research Letters,2014-01-01,41(5).