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| Titel |
An ensemble-based approach to climate reconstructions |
| VerfasserIn |
J. Bhend, J. Franke, D. Folini, M. Wild, S. Brönnimann |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1814-9324
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| Digitales Dokument |
URL |
| Erschienen |
In: Climate of the Past ; 8, no. 3 ; Nr. 8, no. 3 (2012-05-31), S.963-976 |
| Datensatznummer |
250005588
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| Publikation (Nr.) |
 copernicus.org/cp-8-963-2012.pdf |
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| Zusammenfassung |
| Data assimilation is a promising approach to obtain climate reconstructions
that are both consistent with observations of the past and with our
understanding of the physics of the climate system as represented in the
climate model used. Here, we investigate the use of ensemble square root
filtering (EnSRF) – a technique used in weather forecasting – for climate
reconstructions. We constrain an ensemble of 29 simulations from an
atmosphere-only general circulation model (GCM) with 37 pseudo-proxy
temperature time series. Assimilating spatially sparse information with low
temporal resolution (semi-annual) improves the representation of not only
temperature, but also other surface properties, such as precipitation and even
upper air features such as the intensity of the northern stratospheric polar
vortex or the strength of the northern subtropical jet. Given the sparsity of
the assimilated information and the limited size of the ensemble used, a
localisation procedure is crucial to reduce "overcorrection" of climate
variables far away from the assimilated information. |
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