articlePhysica D Nonlinear PhenomenaJan 2, 2007Closed access

Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter

University of Maryland, College Park · Arizona State University

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Abstract

No abstract available for this paper.

Citation impact

1,816
total citations
FWCI
29.50
Percentile
100%
References
55
Citations per year

Authors

3

Topics & keywords

Keywords
  • Data assimilation
  • Kalman filter
  • Ensemble Kalman filter
  • Computer science
  • Chaotic
  • Bayesian probability
  • Ensemble forecasting
  • Current (fluid)
UN Sustainable Development Goals
  • Climate action
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