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Cited by 1,069

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Modeling the Climatic Response to Orbital Variations

Imbrie, John, Imbrie, John Z.·1980·Science

Abstract

According to the astronomical theory of climate, variations in the earth's orbit are the fundamental cause of the succession of Pleistocene ice ages. This article summarizes how the theory has evolved since the pioneer studies of James Croll and Milutin Milankovitch, reviews recent evidence that supports the theory, and argues that a major opportunity is at hand to investigate the physical mechanisms by which the climate system responds to orbital forcing. After a survey of the kinds of models that have been applied to this problem, a strategy is suggested for building simple, physically motivated models, and a time-dependent model is developed that simulates the history of planetary glaciation for the past 500,000 years. Ignoring anthropogenic and other possible sources of variation acting at frequencies higher than one cycle per 19,000 years, this model predicts that the long-term cooling trend which began some 6000 years ago will continue for the next 23,000 years.

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Crossref · 10.1126/science.207.4434.943

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Metadata

Authors
Imbrie, J., & Imbrie, J. Z.
Venue
Science
Published
1980-02-29
Volume
207
Issue
4434
Pages
943-953
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2023899869
Cited by
1,069
References
1
FWCI
27.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Modeling the Climatic Response to Orbital Variations. https://app.cochat.ai/papers/10.1126/science.207.4434.943
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Imbrie, J., & Imbrie, J. Z. (1980). Modeling the Climatic Response to Orbital Variations. Science. https://doi.org/10.1126/science.207.4434.943

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.