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Articles | Volume 28, issue 4
https://doi.org/10.5194/npg-28-565-2021
https://doi.org/10.5194/npg-28-565-2021
Research article
 | 
15 Oct 2021
Research article |  | 15 Oct 2021

Multivariate localization functions for strongly coupled data assimilation in the bivariate Lorenz 96 system

Zofia Stanley, Ian Grooms, and William Kleiber

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Cited articles

Anderson, J. L.: Localization and sampling error correction in ensemble Kalman filter data assimilation, Mon. Weather Rev., 140, 2359–2371, 2012. a
Bannister, R. N.: A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances, Q. J. Roy. Meteor. Soc., 134, 1951–1970, https://doi.org/10.1002/qj.339, 2008. a
Bishop, C. H. and Hodyss, D.: Flow-adaptive moderation of spurious ensemble correlations and its use in ensemble-based data assimilation, Q. J. Roy. Meteor. Soc., 133, 2029–2044, 2007. a
Bolin, D. and Wallin, J.: Spatially adaptive covariance tapering, Spat. Stat., 18, 163–178, https://doi.org/10.1016/j.spasta.2016.03.003, 2016. a, b, c, d
Buehner, M. and Shlyaeva, A.: Scale-dependent background-error covariance localisation, Tellus A, 67, 28027, https://doi.org/10.3402/tellusa.v67.28027, 2015. a
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In weather forecasting, observations are incorporated into a model of the atmosphere through a...
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