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  Towards variance-conserving reconstructions of climate indices with Gaussian process regression in an embedding space

Klockmann, M., Toussaint, U. v., & Zorita, E. (2024). Towards variance-conserving reconstructions of climate indices with Gaussian process regression in an embedding space. Geoscientific Model Development, 17(4), 1765-1787. doi:10.5194/gmd-17-1765-2024.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0010-B520-D Version Permalink: https://hdl.handle.net/21.11116/0000-0010-B521-C
Genre: Journal Article

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klockmann_variance-conserving.pdf (Supplementary material), 11MB
 
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https://doi.org/10.5194/gmd-17-1765-2024 (Publisher version)
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 Creators:
Klockmann, M.1, Author
Toussaint, U. von2, Author                 
Zorita, E.1, Author
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1External Organizations, ou_persistent22              
2Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344              

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Language(s): eng - English
 Dates: 2024
 Publication Status: Published online
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.5194/gmd-17-1765-2024
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Title: Geoscientific Model Development
  Other : Geosci. Model Dev.
  Abbreviation : GMD
Source Genre: Journal
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Publ. Info: Göttingen : Copernicus Publ.
Pages: - Volume / Issue: 17 (4) Sequence Number: - Start / End Page: 1765 - 1787 Identifier: ISSN: 1991-959X
CoNE: https://pure.mpg.de/cone/journals/resource/1991-959X