The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Ubiquity of human-induced changes in climate variability
Open accessAbstract
Abstract. While climate change mitigation targets necessarily concern maximum mean state changes, understanding impacts and developing adaptation strategies will be largely contingent on how climate variability responds to increasing anthropogenic perturbations. Thus far Earth system modeling efforts have primarily focused on projected mean state changes and the sensitivity of specific modes of climate variability, such as the El Niño–Southern Oscillation. However, our knowledge of forced changes in the overall spectrum of climate variability and higher-order statistics is relatively limited. Here we present a new 100-member large ensemble of climate change projections conducted with the Community Earth System Model version 2 over 1850–2100 to examine the sensitivity of internal climate fluctuations to greenhouse warming. Our unprecedented simulations reveal that changes in variability, considered broadly in terms of probability distribution, amplitude, frequency, phasing, and patterns, are ubiquitous and span a wide range of physical and ecosystem variables across many spatial and temporal scales. Greenhouse warming in the model alters variance spectra of Earth system variables that are characterized by non-Gaussian probability distributions, such as rainfall, primary production, or fire occurrence. Our modeling results have important implications for climate adaptation efforts, resource management, seasonal predictions, and assessing potential stressors for terrestrial and marine ecosystems.
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Proceedings of the National Academy of Sciences of the United States of America
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Self-citationThe Community Earth System Model Version 2 (CESM2)
Danabasoglu, G., Lamarque, J. ‐., Bacmeister, J., Bailey, D. A., DuVivier, A. K., Edwards, J., Emmons, L. K., Fasullo, J., Garcia, R., Gettelman, A., et al. (2020) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms001916 · Cited by 3,070
Self-citationGreening of the Earth and its drivers
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How Unexpected Was the 2021 Pacific Northwest Heatwave?
McKinnon, K. A., & Simpson, I. R. (2022) · Geophysical Research Letters · doi:10.1029/2022gl100380 · Cited by 83
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Metadata
- Authors
- Rodgers, K. B., Lee, S.-S., Rosenbloom, N., Timmermann, A., Danabasoglu, G., Deser, C., Edwards, J., Kim, J.-E., Simpson, I. R., Stein, K., Stuecker, M. F., Yamaguchi, R., Bódai, T., Chung, E.-S., Huang, L., Kim, W. M., Lamarque, J.-F., Lombardozzi, D. L., Wieder, W. R., & Yeager, S. G.
- Venue
- Earth System Dynamics
- Publisher
- Copernicus GmbH
- Published
- 2021-12-09
- Volume
- 12
- Issue
- 4
- Pages
- 1393-1411
- ISSN
- 2190-4979 (ISSN-L)
- 2190-4987
- OpenAlex
- W4206833963
- Cited by
- 544
- References
- 95
- FWCI
- 32.05
- Type
- journal article
- Language
- en
- Open access
- gold
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- Rodgers, K. B., Lee, S.-S., Rosenbloom, N., Timmermann, A., Danabasoglu, G., Deser, C., Edwards, J., Kim, J.-E., Simpson, I. R., Stein, K., Stuecker, M. F., Yamaguchi, R., Bódai, T., Chung, E.-S., Huang, L., Kim, W. M., Lamarque, J.-F., Lombardozzi, D. L., Wieder, W. R., & Yeager, S. G. (2021). Ubiquity of human-induced changes in climate variability. Earth System Dynamics. https://doi.org/10.5194/esd-12-1393-2021
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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.
