The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
Projected sea surface temperatures over the 21st century: Changes in the mean, variability and extremes for large marine ecosystem regions of Northern Oceans
Open accessAbstract
Global climate models were used to assess changes in the mean, variability and extreme sea surface temperatures (SSTs) in northern oceans with a focus on large marine ecosystems (LMEs) adjacent to North America, Europe, and the Arctic Ocean. Results were obtained from 26 models in the Community Model Intercomparison Project Phase 5 (CMIP5) archive and 30 simulations from the National Center for Atmospheric Research Large Ensemble Community Project (CESM-LENS). All of the simulations used the observed greenhouse gas concentrations for 1976–2005 and the RCP8.5 “business as usual” scenario for greenhouse gases through the remainder of the 21st century. In general, differences between models are substantially larger than among the simulations in the CESM-LENS, indicating that the SST changes are more strongly affected by model formulation than internal climate variability. The annual SST trends over 1976–2099 in the 18 LMEs examined here are all positive ranging from 0.05 to 0.5°C decade–1. SST changes by the end of the 21st century are primarily due to a positive shift in the mean with only modest changes in the variability in most LMEs, resulting in a substantial increase in warm extremes and decrease in cold extremes. The shift in the mean is so large that in many regions SSTs during 2070–2099 will always be warmer than the warmest year during 1976–2005. The SST trends are generally stronger in summer than in winter, as greenhouse gas heating is integrated over a much shallower climatological mixed layer depth in summer than in winter, which amplifies the seasonal cycle of SST over the 21st century. In the Arctic, the mean SST and its variability increases substantially during summer, when it is ice free, but not during winter when a thin layer of ice reforms and SSTs remain near the freezing point.
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Cites
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Cited by
Kwiatkowski, L., Torres, O., Bopp, L., Aumont, O., Chamberlain, M., Christian, J. R., Dunne, J. P., Gehlen, M., Ilyina, T., John, J. G., et al. (2020) · Biogeosciences · doi:10.5194/bg-17-3439-2020 · Cited by 897
“5 are consistent with previous projections from the CMIP5 models (Carton et al., 2015; Alexander et al., 2018).”
BackgroundMethodInternet of things for environmental sustainability and climate change
Salam, A. (2020) · Internet of things · doi:10.1007/978-3-030-35291-2_2 · Cited by 68
European Cephalopods distribution under climate-change scenarios
Schickele, A., Francour, P., & Raybaud, V. (2021) · Scientific Reports · doi:10.1038/s41598-021-83457-w · Cited by 40
Observation-based sea surface temperature trends in Atlantic large marine ecosystems
Kessler, A., Goris, N., & Lauvset, S. K. (2022) · Progress in Oceanography · doi:10.1016/j.pocean.2022.102902 · Cited by 45
Influence of Canary upwelling system on coastal SST warming along the 21st century using CMIP6 GCMs
Varela, R., Rodríguez-Díaz, L., de Castro, M., & Gómez-Gesteira, M. (2022) · Global and Planetary Change · doi:10.1016/j.gloplacha.2021.103692 · Cited by 38
Metadata
- Authors
- Alexander, M. A., Scott, J. D., Friedland, K. D., Mills, K. E., Nye, J. A., Pershing, A. J., & Thomas, A. C.
- Venue
- Elementa: Science of the Anthropocene
- Publisher
- University of California Press
- Published
- 2018-01-01
- Volume
- 6
- ISSN
- 2325-1026 (ISSN-L)
- OpenAlex
- W2787834236
- Cited by
- 300
- References
- 84
- FWCI
- 15.98
- Type
- journal article
- Language
- en
- Open access
- gold
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- Alexander, M. A., Scott, J. D., Friedland, K. D., Mills, K. E., Nye, J. A., Pershing, A. J., & Thomas, A. C. (2018). Projected sea surface temperatures over the 21st century: Changes in the mean, variability and extremes for large marine ecosystem regions of Northern Oceans. Elementa: Science of the Anthropocene. https://doi.org/10.1525/elementa.191
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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.
