A multi-data stream assimilation framework for the assessment of volcanic unrest
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- 作者：Patricia M. Gregg ; pgregg@illinois.edu" class="auth_mail" title="E-mail the corresponding author ; J. Cory Pettijohn
- 关键词：Data assimilation ; Ensemble Kalman Filter ; Volcano deformation ; InSAR ; GPS ; Finite element model
- 刊名：Journal of Volcanology and Geothermal Research
- 出版年：2016
- 出版时间：1 January 2016
- 年：2016
- 卷：309
- 期：Complete
- 页码：63-77
- 全文大小：3543 K
文摘
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Ensemble Kalman Filter is adapted for sequential volcano data assimilation.
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EnKF provides a framework for model-data fusion at active volcanoes.
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A series of synthetic experiments test assimilation of GPS and InSAR data.
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Multi-component GPS data results in faster model convergence and smaller error.
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Results illustrate the potential of EnKF for future volcano investigations.