Articles | Volume 5, issue 1
https://doi.org/10.5194/esd-5-103-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-5-103-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Feb 2014
Research article |
| 20 Feb 2014
The role of the North Atlantic overturning and deep ocean for multi-decadal global-mean-temperature variability
C. F. Schleussner
Potsdam Institute for Climate Impact Research, Telegrafenberg A62, 14473 Potsdam, Germany
Physics Institute, Potsdam University, Potsdam, Germany
Potsdam Institute for Climate Impact Research, Telegrafenberg A62, 14473 Potsdam, Germany
Department of Physics, Humboldt University, Berlin, Germany
J. Lehmann
Potsdam Institute for Climate Impact Research, Telegrafenberg A62, 14473 Potsdam, Germany
Physics Institute, Potsdam University, Potsdam, Germany
A. Levermann
Potsdam Institute for Climate Impact Research, Telegrafenberg A62, 14473 Potsdam, Germany
Physics Institute, Potsdam University, Potsdam, Germany
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Cited
18 citations as recorded by crossref.
- Evaluation of CMIP5 models over the northern North Atlantic in the context of forthcoming paleoclimatic reconstructions M. Pyrina et al. https://doi.org/10.1007/s00382-017-3536-x
- Unified functional network and nonlinear time series analysis for complex systems science: Thepyunicornpackage J. Donges et al. https://doi.org/10.1063/1.4934554
- Introduction to Focus Issue: Causation inference and information flow in dynamical systems: Theory and applications E. Bollt et al. https://doi.org/10.1063/1.5046848
- Phase synchronisation in the Kuroshio Current System A. Klose et al. https://doi.org/10.5194/os-16-435-2020
- Why Does Aerosol Forcing Control Historical Global-Mean Surface Temperature Change in CMIP5 Models? L. Rotstayn et al. https://doi.org/10.1175/JCLI-D-14-00712.1
- Characterizing half‐a‐degree difference: a review of methods for identifying regional climate responses to global warming targets R. James et al. https://doi.org/10.1002/wcc.457
- Limited reversal of regional climate signals in overshoot scenarios P. Pfleiderer et al. https://doi.org/10.1088/2752-5295/ad1c45
- Quantifying information transfer and mediation along causal pathways in complex systems J. Runge https://doi.org/10.1103/PhysRevE.92.062829
- Using Causal Effect Networks to Analyze Different Arctic Drivers of Midlatitude Winter Circulation M. Kretschmer et al. https://doi.org/10.1175/JCLI-D-15-0654.1
- Tropical and mid-latitude teleconnections interacting with the Indian summer monsoon rainfall: a theory-guided causal effect network approach G. Di Capua et al. https://doi.org/10.5194/esd-11-17-2020
- A Mechanism for the Recently Increased Interdecadal Variability of the Silk Road Pattern C. Stephan et al. https://doi.org/10.1175/JCLI-D-18-0405.1
- How likely is an El Niño to break the global mean surface temperature record during the 21st century? C. Hsu & J. Yin https://doi.org/10.1088/1748-9326/ab3b82
- Precursors of September Arctic Sea-Ice Extent Based on Causal Effect Networks S. Li et al. https://doi.org/10.3390/atmos9110437
- Causal Inference in Geoscience and Remote Sensing From Observational Data A. Perez-Suay & G. Camps-Valls https://doi.org/10.1109/TGRS.2018.2867002
- Robust predictors for seasonal Atlantic hurricane activity identified with causal effect networks P. Pfleiderer et al. https://doi.org/10.5194/wcd-1-313-2020
- Timescale‐dependent AMOC–AMO relationship in an earth system model of intermediate complexity H. Kim et al. https://doi.org/10.1002/joc.6926
- Interaction between dry and hot extremes at a global scale using a cascade modeling framework S. Mukherjee et al. https://doi.org/10.1038/s41467-022-35748-7
- Global Contributions of Incoming Radiation and Land Surface Conditions to Maximum Near‐Surface Air Temperature Variability and Trend C. Schwingshackl et al. https://doi.org/10.1029/2018GL077794
18 citations as recorded by crossref.
- Evaluation of CMIP5 models over the northern North Atlantic in the context of forthcoming paleoclimatic reconstructions M. Pyrina et al. https://doi.org/10.1007/s00382-017-3536-x
- Unified functional network and nonlinear time series analysis for complex systems science: Thepyunicornpackage J. Donges et al. https://doi.org/10.1063/1.4934554
- Introduction to Focus Issue: Causation inference and information flow in dynamical systems: Theory and applications E. Bollt et al. https://doi.org/10.1063/1.5046848
- Phase synchronisation in the Kuroshio Current System A. Klose et al. https://doi.org/10.5194/os-16-435-2020
- Why Does Aerosol Forcing Control Historical Global-Mean Surface Temperature Change in CMIP5 Models? L. Rotstayn et al. https://doi.org/10.1175/JCLI-D-14-00712.1
- Characterizing half‐a‐degree difference: a review of methods for identifying regional climate responses to global warming targets R. James et al. https://doi.org/10.1002/wcc.457
- Limited reversal of regional climate signals in overshoot scenarios P. Pfleiderer et al. https://doi.org/10.1088/2752-5295/ad1c45
- Quantifying information transfer and mediation along causal pathways in complex systems J. Runge https://doi.org/10.1103/PhysRevE.92.062829
- Using Causal Effect Networks to Analyze Different Arctic Drivers of Midlatitude Winter Circulation M. Kretschmer et al. https://doi.org/10.1175/JCLI-D-15-0654.1
- Tropical and mid-latitude teleconnections interacting with the Indian summer monsoon rainfall: a theory-guided causal effect network approach G. Di Capua et al. https://doi.org/10.5194/esd-11-17-2020
- A Mechanism for the Recently Increased Interdecadal Variability of the Silk Road Pattern C. Stephan et al. https://doi.org/10.1175/JCLI-D-18-0405.1
- How likely is an El Niño to break the global mean surface temperature record during the 21st century? C. Hsu & J. Yin https://doi.org/10.1088/1748-9326/ab3b82
- Precursors of September Arctic Sea-Ice Extent Based on Causal Effect Networks S. Li et al. https://doi.org/10.3390/atmos9110437
- Causal Inference in Geoscience and Remote Sensing From Observational Data A. Perez-Suay & G. Camps-Valls https://doi.org/10.1109/TGRS.2018.2867002
- Robust predictors for seasonal Atlantic hurricane activity identified with causal effect networks P. Pfleiderer et al. https://doi.org/10.5194/wcd-1-313-2020
- Timescale‐dependent AMOC–AMO relationship in an earth system model of intermediate complexity H. Kim et al. https://doi.org/10.1002/joc.6926
- Interaction between dry and hot extremes at a global scale using a cascade modeling framework S. Mukherjee et al. https://doi.org/10.1038/s41467-022-35748-7
- Global Contributions of Incoming Radiation and Land Surface Conditions to Maximum Near‐Surface Air Temperature Variability and Trend C. Schwingshackl et al. https://doi.org/10.1029/2018GL077794
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