Forced response and internal variability in ensembles of climate simulations: identification and analysis using linear dynamical mode decomposition-Reference-Cited by-同舟云学术

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Forced response and internal variability in ensembles of climate simulations: identification and analysis using linear dynamical mode decomposition

Published:2023-11-06 Issue: Volume: Page:
ISSN:0930-7575
Container-title:Climate Dynamics
language:en
Short-container-title:Clim Dyn

Author:

Gavrilov Andrey,Kravtsov Sergey,Buyanova Maria,Mukhin Dmitry,Loskutov Evgeny,Feigin Alexander

Funder

State assignment of the Institute of Applied Physics of the Russian Academy of Sciences

Regional Scientific and Educational Mathematical Center ''Mathematics of Future Technologies''

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

https://link.springer.com/content/pdf/10.1007/s00382-023-06995-1.pdf

Reference51 articles.

1. Allen MR, Smith LA (1997) Optimal filtering in singular spectrum analysis. Phys Lett A 234:419–428. https://doi.org/10.1016/S0375-9601(97)00559-8

2. Barcikowska MJ, Knutson TR, Zhang R (2017) Observed and simulated fingerprints of multidecadal climate variability and their contributions to periods of global sst stagnation. J Clim 30:721–737. https://doi.org/10.1175/JCLI-D-16-0443.1

3. Compo GP, Whitaker JS, Sardeshmukh PD et al (2011) The twentieth century reanalysis project. Q J R Meteorol Soc. https://doi.org/10.1002/qj.776

4. DelSole T (2001) Optimally persistent patterns in time-varying fields. J Atmos Sci 58:1341–1356

5. DelSole T, Tippett MK, Shukla J (2011) A significant component of unforced multidecadal variability in the recent acceleration of global warming. J Clim 24:909–926. https://doi.org/10.1175/2010JCLI3659.1

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