Mathematical foundations of hybrid data assimilation from a synchronization perspective-Reference-Cited by-同舟云学术

Mathematical foundations of hybrid data assimilation from a synchronization perspective

Published:2017-12 Issue:12 Volume:27 Page:126801
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Penny Stephen G.¹

Affiliation:

1. Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland 20742, USA; National Centers for Environmental Prediction (NCEP), College Park, Maryland 20740, USA; and RIKEN Advanced Institute for Computational Science, Kobe, Hyogo 650-0047, Japan

Funder

National Oceanic and Atmospheric Administration (NOAA)

Climate Program Office (CPO)

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5001819

Reference77 articles.

1. The analysis of observed chaotic data in physical systems

2. Estimating the state of a geophysical system with sparse observations: time delay methods to achieve accurate initial states for prediction

3. Ensemble Dynamics and Bred Vectors

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