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  Predicting Climate Change Using Response Theory: Global Averages and Spatial Patterns

Lucarini, V., Ragone, F., & Lunkeit, F. (2017). Predicting Climate Change Using Response Theory: Global Averages and Spatial Patterns. SI, 166(3-4), 1036-1064. doi:10.1007/s10955-016-1506-z.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-CCEB-C Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-CCEC-A
Genre: Journal Article

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 Creators:
Lucarini, Valerio1, Author           
Ragone, Francesco2, Author
Lunkeit, Frank1, Author           
Affiliations:
1A 1 - Climate Variability and Predictability, Research Area A: Climate Dynamics and Variability, The CliSAP Cluster of Excellence, External Organizations, ou_1863478              
2external, ou_persistent22              

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Language(s): eng - English
 Dates: 2017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000394366800027
DOI: 10.1007/s10955-016-1506-z
 Degree: -

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Title: SI
Source Genre: Issue
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Publ. Info: -
Pages: - Volume / Issue: 166 (3-4) Sequence Number: - Start / End Page: 1036 - 1064 Identifier: ISSN: 0022-4715

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Title: Journal of Statistical Physics
Source Genre: Journal
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Publ. Info: New York : Kluwer Academic Publishers [etc.]
Pages: - Volume / Issue: 166 Sequence Number: - Start / End Page: - Identifier: ISSN: 0022-4715
CoNE: https://pure.mpg.de/cone/journals/resource/954925418023