The importance of input data quality and quantity in climate field reconstructions - results from a Kalman filter based paleodata assimilation method

Franke, Jörg; Valler, Veronika; Brönnimann, Stefan; Neukom, Raphael; Jaume Santero, Fernando (2019). The importance of input data quality and quantity in climate field reconstructions - results from a Kalman filter based paleodata assimilation method (Submitted). Climate of the past discussions, pp. 1-15. Copernicus Publications 10.5194/cp-2019-80

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Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Geography
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)

UniBE Contributor:

Franke, Jörg; Valler, Veronika; Brönnimann, Stefan and Neukom, Raphael

Subjects:

900 History > 910 Geography & travel
500 Science > 550 Earth sciences & geology

ISSN:

1814-9359

Publisher:

Copernicus Publications

Funders:

[4] Swiss National Science Foundation
[18] European Research Council

Language:

English

Submitter:

André Hürzeler

Date Deposited:

18 Sep 2019 11:11

Last Modified:

24 Oct 2019 21:42

Publisher DOI:

10.5194/cp-2019-80

BORIS DOI:

10.7892/boris.133283

URI:

https://boris.unibe.ch/id/eprint/133283

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