Articles | Volume 11, issue 2
https://doi.org/10.5194/esd-11-447-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-11-447-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 May 2020
Research article |
| 25 May 2020
| 25 May 2020
Variability of surface climate in simulations of past and future
Kira Rehfeld
CORRESPONDING AUTHOR
Institute of Environmental Physics, Ruprecht-Karls-Universität Heidelberg, INF 229, 69120 Heidelberg, Germany
Raphaël Hébert
Alfred Wegener Institute Helmholtz Center for Polar and Marine Research, Telegrafenberg A45, 14473 Potsdam, Germany
Juan M. Lora
Department of Geology and Geophysics, Yale University, 210 Whitney Ave, New Haven, CT 06511, USA
Marcus Lofverstrom
Department of Geosciences, University of Arizona, 1040 E. 4th Street, Tucson, AZ 85721, USA
Chris M. Brierley
Department of Geography, University College London, London, WC1E 6BT, UK
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21 citations as recorded by crossref.
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- Dampened predictable decadal North Atlantic climate fluctuations due to ice melting C. Martin-Puertas et al. 10.1038/s41561-023-01145-y
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- Projected changes in the interannual variability of surface air temperature using CMIP6 simulations J. Shi et al. 10.1007/s00382-023-06923-3
- The impact of climate change on astronomical observations F. Cantalloube et al. 10.1038/s41550-020-1203-3
- Reversals in Temperature‐Precipitation Correlations in the Northern Hemisphere Extratropics During the Holocene U. Herzschuh et al. 10.1029/2022GL099730
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- Weakened impact of the Atlantic Niño on the future equatorial Atlantic and Guinea Coast rainfall K. Worou et al. 10.5194/esd-13-231-2022
- TransEBM v. 1.0: description, tuning, and validation of a transient model of the Earth's energy balance in two dimensions E. Ziegler & K. Rehfeld 10.5194/gmd-14-2843-2021
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- Artificial intelligence achieves easy-to-adapt nonlinear global temperature reconstructions using minimal local data M. Wegmann & F. Jaume-Santero 10.1038/s43247-023-00872-9
- Tropical Precipitation Woes in the Community Earth System Model Version 2 M. Lofverstrom & J. Zhu 10.1029/2023GL104416
- Analysing the PMIP4-CMIP6 collection: a workflow and tool (pmip_p2fvar_analyzer v1) A. Zhao et al. 10.5194/gmd-15-2475-2022
- Time series trend analysis and forecasting of climate variability using deep learning in Thailand M. Waqas et al. 10.1016/j.rineng.2024.102997
- Holocene Thermal Maximum paleofloods improve flood frequency analyses in the lower Tennessee River Basin (USA) M. Davis et al. 10.1016/j.gloplacha.2024.104412
- Large-scale emergence of regional changes in year-to-year temperature variability by the end of the 21st century D. Olonscheck et al. 10.1038/s41467-021-27515-x
- The PMIP4 Last Glacial Maximum experiments: preliminary results and comparison with the PMIP3 simulations M. Kageyama et al. 10.5194/cp-17-1065-2021
- Identifying Global‐Scale Patterns of Vegetation Change During the Last Deglaciation From Paleoclimate Networks M. Adam et al. 10.1029/2021PA004265
- Enhanced Interannual Variability in Temperature during the Last Glacial Maximum J. Shi et al. 10.1175/JCLI-D-21-0739.1
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Latest update: 20 Nov 2024
Short summary
Under continued anthropogenic greenhouse gas emissions, it is likely that global mean surface temperature will continue to increase. Little is known about changes in climate variability. We analyze surface climate variability and compare it to mean change in colder- and warmer-than-present climate model simulations. In most locations, but not on subtropical land, simulated temperature variability up to decadal timescales decreases with mean temperature, and precipitation variability increases.
Under continued anthropogenic greenhouse gas emissions, it is likely that global mean surface...
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