decadal climate predictability
Recently Published Documents


TOTAL DOCUMENTS

13
(FIVE YEARS 3)

H-INDEX

6
(FIVE YEARS 1)

2021 ◽  
Author(s):  
Annika Drews ◽  
Wenjuan Huo ◽  
Katja Matthes ◽  
Kunihiko Kodera ◽  
Tim Kruschke

Abstract. Despite several studies on decadal-scale solar influence on climate, a systematic detection of solar-induced signals at the surface and the Sun's contribution to decadal climate predictability is still missing. Here, we disentangle the solar-cycle-induced climate response from internal variability and from other external forcings such as greenhouse gases. We utilize two 10-member ensemble simulations with a state-of-the-art chemistry climate model, to date a unique data set in chemistry climate modelling. We quantify the potential predictability related to the solar cycle and demonstrate that the detectability of the solar influence on surface climate depends on the magnitude of the solar cycle. Further, we show that a strong solar cycle forcing organizes and synchronizes the decadal-scale component of the North Atlantic Oscillation, the dominant mode of climate variability in the North Atlantic region.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Yushi Morioka ◽  
Takeshi Doi ◽  
Andrea Storto ◽  
Simona Masina ◽  
Swadhin K. Behera

2016 ◽  
Author(s):  
Andreas Sterl

Abstract. The large heat capacity of the ocean as compared to the atmosphere provides a memory in the climate system that might have the potential for skilful climate predictions a few years ahead. However, experiments so far have only found limited predictability after accounting for the deterministic forcing signal provided by increased greenhouse gas concentrations. One of the problems is the drift that occurs when the model moves away from the initial conditions towards its own climate. This drift is often larger than the decadal signal to be predicted. In this paper we describe the drift occurring in the North Atlantic Ocean in the EC-Earth climate model and relate it to the lack of decadal predictability in that region. While this drift may be resolution dependent and disappear in higher resolution models, we identify a second reason for the low predictability. A subsurface heat content anomaly can only influence de atmosphere if (deep) convection couples it to the surface, but the occurrence of deep convection events is random and probably mainly determined by unpredictable atmospheric noise.


2015 ◽  
Vol 53 (2) ◽  
pp. 165-202 ◽  
Author(s):  
A. Bellucci ◽  
R. Haarsma ◽  
N. Bellouin ◽  
B. Booth ◽  
C. Cagnazzo ◽  
...  

2012 ◽  
Vol 40 (5-6) ◽  
pp. 1201-1222 ◽  
Author(s):  
Yoshimitsu Chikamoto ◽  
Masahide Kimoto ◽  
Masayoshi Ishii ◽  
Takashi Mochizuki ◽  
Takashi T. Sakamoto ◽  
...  

2011 ◽  
Vol 92 (5) ◽  
pp. 637-640 ◽  
Author(s):  
Vikram Mehta ◽  
Gerald Meehl ◽  
Lisa Goddard ◽  
Jeff Knight ◽  
Arun Kumar ◽  
...  

No Abstract available.


Sign in / Sign up

Export Citation Format

Share Document