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Cited by 466

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Reconstructing Past Climate from Noisy Data

von Storch, Hans, Zorita, Eduardo, Jones, Julie M., Dimitriev, Yegor, González-Rouco, Fidel, Tett, Simon F. B.·2004·Science

Abstract

Empirical reconstructions of the Northern Hemisphere (NH) temperature in the past millennium based on multiproxy records depict small-amplitude variations followed by a clear warming trend in the past two centuries. We use a coupled atmosphere-ocean model simulation of the past 1000 years as a surrogate climate to test the skill of these methods, particularly at multidecadal and centennial time scales. Idealized proxy records are represented by simulated grid-point temperature, degraded with statistical noise. The centennial variability of the NH temperature is underestimated by the regression-based methods applied here, suggesting that past variations may have been at least a factor of 2 larger than indicated by empirical reconstructions.

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Crossref · 10.1126/science.1096109

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Metadata

Authors
von Storch, H., Zorita, E., Jones, J. M., Dimitriev, Y., González-Rouco, F., & Tett, S. F. B.
Venue
Science
Published
2004-10-22
Volume
306
Issue
5696
Pages
679-682
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2142987884
Cited by
466
References
17
FWCI
32.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reconstructing Past Climate from Noisy Data. https://app.cochat.ai/papers/10.1126/science.1096109
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von Storch, H., Zorita, E., Jones, J. M., Dimitriev, Y., González-Rouco, F., & Tett, S. F. B. (2004). Reconstructing Past Climate from Noisy Data. Science. https://doi.org/10.1126/science.1096109

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.