Climatic changes associated with a global “2°C-stabilization” scenario simulated by the ECHAM5/MPI-OM coupled climate model

2008 ◽  
Vol 31 (2-3) ◽  
pp. 283-313 ◽  
Author(s):  
Wilhelm May
Keyword(s):  
Climate Model ◽  
Climatic Changes ◽  
Coupled Climate Model ◽  
Stabilization Scenario

scholarly journals A realistic Greenland ice sheet and surrounding glaciers and ice caps melting in a coupled climate model

2021 ◽  
Author(s):  
Marion Devilliers ◽  
Didier Swingedouw ◽  
Juliette Mignot ◽  
Julie Deshayes ◽  
Gilles Garric ◽  
...  
Keyword(s):  
Climate Model ◽  
Ice Sheet ◽  
Greenland Ice Sheet ◽  
Coupled Climate Model ◽  
Ice Caps

scholarly journals Effects of Ocean Biology on the Penetrative Radiation in a Coupled Climate Model

2006 ◽  
Vol 19 (16) ◽  
pp. 3973-3987 ◽  
Author(s):  
Patrick Wetzel ◽  
Ernst Maier-Reimer ◽  
Michael Botzet ◽  
Johann Jungclaus ◽  
Noel Keenlyside ◽  
...  
Keyword(s):  
Seasonal Cycle ◽  
Marine Biology ◽  
Climate Model ◽  
Global Climate ◽  
Ocean Model ◽  
Equatorial Pacific ◽  
Shortwave Radiation ◽  
Upper Ocean ◽  
Biogeochemical Model ◽  
Coupled Climate Model

Abstract The influence of phytoplankton on the seasonal cycle and the mean global climate is investigated in a fully coupled climate model. The control experiment uses a fixed attenuation depth for shortwave radiation, while the attenuation depth in the experiment with biology is derived from phytoplankton concentrations simulated with a marine biogeochemical model coupled online to the ocean model. Some of the changes in the upper ocean are similar to the results from previous studies that did not use interactive atmospheres, for example, amplification of the seasonal cycle; warming in upwelling regions, such as the equatorial Pacific and the Arabian Sea; and reduction in sea ice cover in the high latitudes. In addition, positive feedbacks within the climate system cause a global shift of the seasonal cycle. The onset of spring is about 2 weeks earlier, which results in a more realistic representation of the seasons. Feedback mechanisms, such as increased wind stress and changes in the shortwave radiation, lead to significant warming in the midlatitudes in summer and to seasonal modifications of the overall warming in the equatorial Pacific. Temperature changes also occur over land where they are sometimes even larger than over the ocean. In the equatorial Pacific, the strength of interannual SST variability is reduced by about 10%–15% and phase locking to the annual cycle is improved. The ENSO spectral peak is broader than in the experiment without biology and the dominant ENSO period is increased to around 5 yr. Also the skewness of ENSO variability is slightly improved. All of these changes lead to the conclusion that the influence of marine biology on the radiative budget of the upper ocean should be considered in detailed simulations of the earth’s climate.

Polar amplification in a coupled climate model with locked albedo

2009 ◽  
Vol 33 (5) ◽  
pp. 629-643 ◽  
Author(s):  
Rune Grand Graversen ◽  
Minghuai Wang
Keyword(s):  
Climate Model ◽  
Coupled Climate Model ◽  
Polar Amplification

Rapid transitions and ultra-low frequency behaviour in a 40 kyr integration with a coupled climate model of intermediate complexity

2001 ◽  
Vol 17 (7) ◽  
pp. 559-570 ◽  
Author(s):  
R. J. Haarsma ◽  
J. D. Opsteegh ◽  
F. M. Selten ◽  
X. Wang
Keyword(s):  
Climate Model ◽  
Low Frequency ◽  
Coupled Climate Model ◽  
Intermediate Complexity

scholarly journals Mechanisms causing reduced Arctic sea ice loss in a coupled climate model

2012 ◽  
Vol 6 (4) ◽  
pp. 2653-2687 ◽  
Author(s):  
A. E. West ◽  
A. B. Keen ◽  
H. T. Hewitt
Keyword(s):  
Sea Ice ◽  
Climate Model ◽  
Historical Record ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
Slight Reduction ◽  
Coupled Climate Model ◽  
Arctic Sea ◽  
Ensembles Project ◽  
Arctic Sea Ice Loss

Abstract. The fully-coupled climate model HadGEM1 produces one of the most accurate simulations of the historical record of Arctic sea ice seen in the IPCC AR4 multi-model ensemble. In this study, we examine projections of sea ice decline out to 2030, produced by two ensembles of HadGEM1 with natural and anthropogenic forcings included. These ensembles project a significant slowing of the rate of ice loss to occur after 2010, with some integrations even simulating a small increase in ice area. We use an energy budget of the Arctic to examine the causes of this slowdown. A negative feedback effect by which rapid reductions in ice thickness north of Greenland reduce ice export is found to play a major role. A slight reduction in ocean-to-ice heat flux in the relevant period, caused by changes in the MOC and subpolar gyre in some integrations, is also found to play a part. Finally, we assess the likelihood of a slowdown occurring in the real world due to these causes.

scholarly journals Strong ENSO Variability and a Super-ENSO Pair in the CSIRO Mark 3 Coupled Climate Model

2003 ◽  
Vol 131 (7) ◽  
pp. 1189-1210 ◽  
Author(s):  
Wenju Cai ◽  
Mark A. Collier ◽  
Hal B. Gordon ◽  
Linda J. Waterman
Keyword(s):  
Climate Model ◽  
Coupled Climate Model ◽  
Enso Variability ◽  
Strong Enso

scholarly journals Decadal climate predictions for the period 1901-2010 with a coupled climate model

2014 ◽  
Vol 41 (6) ◽  
pp. 2100-2107 ◽  
Author(s):  
W. A. Müller ◽  
H. Pohlmann ◽  
F. Sienz ◽  
D. Smith
Keyword(s):  
Climate Model ◽  
Coupled Climate Model ◽  
Decadal Climate

The prediction of surface temperature in the new seasonal prediction system based on the MPI-ESM coupled climate model

2014 ◽  
Vol 44 (9-10) ◽  
pp. 2723-2735 ◽  
Author(s):  
J. Baehr ◽  
K. Fröhlich ◽  
M. Botzet ◽  
D. I. V. Domeisen ◽  
L. Kornblueh ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Climate Model ◽  
Seasonal Prediction ◽  
Prediction System ◽  
Coupled Climate Model
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