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Cited by 2,073

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

Model Projections of an Imminent Transition to a More Arid Climate in Southwestern North America

Open access
Seager, Richard, Ting, Mingfang, Held, Isaac, Kushnir, Yochanan, Lu, Jian, Vecchi, Gabriel, Huang, Huei-Ping, Harnik, Nili, Leetmaa, Ants, Lau, Ngar-Cheung, Li, Cuihua, Velez, Jennifer, Naik, Naomi·2007·Science

Abstract

How anthropogenic climate change will affect hydroclimate in the arid regions of southwestern North America has implications for the allocation of water resources and the course of regional development. Here we show that there is a broad consensus among climate models that this region will dry in the 21st century and that the transition to a more arid climate should already be under way. If these models are correct, the levels of aridity of the recent multiyear drought or the Dust Bowl and the 1950s droughts will become the new climatology of the American Southwest within a time frame of years to decades.

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Crossref · 10.1126/science.1139601

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Metadata

Authors
Seager, R., Ting, M., Held, I., Kushnir, Y., Lu, J., Vecchi, G., Huang, H.-P., Harnik, N., Leetmaa, A., Lau, N.-C., Li, C., Velez, J., & Naik, N.
Venue
Science
Published
2007-05-25
Volume
316
Issue
5828
Pages
1181-1184
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2083070320
Cited by
2,073
References
1
FWCI
98.08
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Model Projections of an Imminent Transition to a More Arid Climate in Southwestern North America. https://app.cochat.ai/papers/10.1126/science.1139601
The paper
Seager, R., Ting, M., Held, I., Kushnir, Y., Lu, J., Vecchi, G., Huang, H.-P., Harnik, N., Leetmaa, A., Lau, N.-C., Li, C., Velez, J., & Naik, N. (2007). Model Projections of an Imminent Transition to a More Arid Climate in Southwestern North America. Science. https://doi.org/10.1126/science.1139601

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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.