Articles | Volume 28, issue 4
https://doi.org/10.5194/npg-28-565-2021
© Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
15 Oct 2021
Research article |
| 15 Oct 2021
| 15 Oct 2021
Multivariate localization functions for strongly coupled data assimilation in the bivariate Lorenz 96 system
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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
