from nonparametric modeling

[1] We present a new approach for studying the inner core rotation and its variability by separating the underlying structure from its time evolution. This is achieved by fitting a large set of existing seismic BC‐DF traveltime data with a smoothing spline analysis, which is implemented in the stati...

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Main Authors: Daniela Lindner, Xiaodong Song, Ping Ma, Doug H. Christensen
Other Authors: The Pennsylvania State University CiteSeerX Archives
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Language:English
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.210.7349
http://www.geology.illinois.edu/people/xsong/Sites/papers/lindner_etal10_jgr.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.210.7349 2023-05-15T15:13:40+02:00 from nonparametric modeling Daniela Lindner Xiaodong Song Ping Ma Doug H. Christensen The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.210.7349 http://www.geology.illinois.edu/people/xsong/Sites/papers/lindner_etal10_jgr.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.210.7349 http://www.geology.illinois.edu/people/xsong/Sites/papers/lindner_etal10_jgr.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.geology.illinois.edu/people/xsong/Sites/papers/lindner_etal10_jgr.pdf text ftciteseerx 2016-01-07T17:50:45Z [1] We present a new approach for studying the inner core rotation and its variability by separating the underlying structure from its time evolution. This is achieved by fitting a large set of existing seismic BC‐DF traveltime data with a smoothing spline analysis, which is implemented in the statistics package R. This method allows us to separate the time‐independent mantle contribution from the time‐dependent core contribution without any a priori constraints and to also estimate the error of the fit. We add our newly acquired seismic data from the PASSCAL experiment ARCTIC in northern Alaska to PKP differential traveltime measurements previously obtained from South Sandwich Islands earthquakes and recorded at College (COL) and the Alaskan Seismic Network. This nearly doubles the number of measurements to a total of 1165 and increases the data coverage of the inner core structure and our time coverage (to about 55 years). The large number of measurements allows us to use the standard statistical method of bootstrapping to derive the rotation rate and thus to further separate the core structure from its time evolution. This approach has been successfully tested with synthetic data sets that feature both a nonlinear structure and variable rotation rates, while sharing the same earthquakes and stations geometry as our real data. Applying this method to the real data yields an 0.22 −1 average rotation rate of 0.39 ° ± 0.09°yr (at 68 % confidence level). Our results also suggest a nonzero acceleration of the inner core with an apparent change in the rotation rate from 0.24 ° to 0.56 ° yr −1 within the last 55 years. The minimum torque acting on the inner core is estimated 1.19 × 10 16 N m, which could result from the imbalance of the electromagnetic and gravitational torques. Text Arctic South Sandwich Islands Alaska Unknown Arctic Sandwich Islands South Sandwich Islands
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description [1] We present a new approach for studying the inner core rotation and its variability by separating the underlying structure from its time evolution. This is achieved by fitting a large set of existing seismic BC‐DF traveltime data with a smoothing spline analysis, which is implemented in the statistics package R. This method allows us to separate the time‐independent mantle contribution from the time‐dependent core contribution without any a priori constraints and to also estimate the error of the fit. We add our newly acquired seismic data from the PASSCAL experiment ARCTIC in northern Alaska to PKP differential traveltime measurements previously obtained from South Sandwich Islands earthquakes and recorded at College (COL) and the Alaskan Seismic Network. This nearly doubles the number of measurements to a total of 1165 and increases the data coverage of the inner core structure and our time coverage (to about 55 years). The large number of measurements allows us to use the standard statistical method of bootstrapping to derive the rotation rate and thus to further separate the core structure from its time evolution. This approach has been successfully tested with synthetic data sets that feature both a nonlinear structure and variable rotation rates, while sharing the same earthquakes and stations geometry as our real data. Applying this method to the real data yields an 0.22 −1 average rotation rate of 0.39 ° ± 0.09°yr (at 68 % confidence level). Our results also suggest a nonzero acceleration of the inner core with an apparent change in the rotation rate from 0.24 ° to 0.56 ° yr −1 within the last 55 years. The minimum torque acting on the inner core is estimated 1.19 × 10 16 N m, which could result from the imbalance of the electromagnetic and gravitational torques.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Daniela Lindner
Xiaodong Song
Ping Ma
Doug H. Christensen
spellingShingle Daniela Lindner
Xiaodong Song
Ping Ma
Doug H. Christensen
from nonparametric modeling
author_facet Daniela Lindner
Xiaodong Song
Ping Ma
Doug H. Christensen
author_sort Daniela Lindner
title from nonparametric modeling
title_short from nonparametric modeling
title_full from nonparametric modeling
title_fullStr from nonparametric modeling
title_full_unstemmed from nonparametric modeling
title_sort from nonparametric modeling
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.210.7349
http://www.geology.illinois.edu/people/xsong/Sites/papers/lindner_etal10_jgr.pdf
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op_source http://www.geology.illinois.edu/people/xsong/Sites/papers/lindner_etal10_jgr.pdf
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