scholarly journals A State-Dependent Quantification of Climate Sensitivity Based on Paleodata of the Last 2.1 Million Years

2017 ◽  
Vol 32 (11) ◽  
pp. 1102-1114 ◽  
Author(s):  
Peter Köhler ◽  
Lennert B. Stap ◽  
Anna S. von der Heydt ◽  
Bas de Boer ◽  
Roderik S. W. van de Wal ◽  
...  
2016 ◽  
Author(s):  
Peter Köhler ◽  
Lennert B. Stap ◽  
Anna S. von der Heydt ◽  
Bas de Boer ◽  
Roderik S. W. van de Wal

Abstract. The evidence from both data and models indicate that specific equilibrium climate sensitivity S[X] – the global annual mean surface temperature change (∆Tg) as a response to a change in radiative forcing X (∆R[X]) – is state dependent. Such a state dependency implies that the best fit in the scatter plot of ∆Tg versus ∆R[X] is not a linear regression, but for instance a higher order polynomial. While for the conventional linear case the slope (gradient) of the regression is correctly interpreted as the specific equilibrium climate sensitivity S[X], the interpretation is not straightforward in the non-linear case. We here elaborate how such a state dependent scatter plot needs to be interpreted, and provide a theoretical understanding how to calculate S[X] in the non-linear case.


2020 ◽  
Vol 13 (11) ◽  
pp. 718-721
Author(s):  
Jenny Bjordal ◽  
Trude Storelvmo ◽  
Kari Alterskjær ◽  
Tim Carlsen

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