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Cited by 371

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Trends in continental temperature and humidity directly linked to ocean warming

Open access
Byrne, Michael P., O’Gorman, Paul A.·2018·Proceedings of the National Academy of Sciences

Abstract

Significance: Changes in surface temperature and humidity over land are important for climate-change impacts on humans and ecosystems. Here, we show how trends in land humidity and temperature in recent decades are linked to ocean warming. While changes in temperature and humidity have been different over land and ocean, these changes have combined to give equal changes in the moist static energy of the air over land and ocean, consistent with expectations from atmospheric dynamics. We show how this dynamical constraint, and an additional constraint based on moisture transport, may be used to predict land climate changes given the ocean warming. Land surfaces are complex to understand and model, yet our results show a remarkably simple behavior of the climate system that emerges at large scales.

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Crossref · 10.1073/pnas.1722312115

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Metadata

Authors
Byrne, M. P., & O’Gorman, P. A.
Venue
Proceedings of the National Academy of Sciences
Published
2018-04-23
Volume
115
Issue
19
Pages
4863-4868
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2803003999
Cited by
371
References
31
FWCI
17.27
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Trends in continental temperature and humidity directly linked to ocean warming. https://app.cochat.ai/papers/10.1073/pnas.1722312115
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Byrne, M. P., & O’Gorman, P. A. (2018). Trends in continental temperature and humidity directly linked to ocean warming. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1722312115

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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.