Document History for Document ID 321559
MPI für Meteorologie / Atmosphere in the Earth System |
|Ensemble climate simulations using a fully coupled ocean-troposphere-stratosphere general circulation model|
|Authors:||Huebener, H.; Cubasch, U.; Langematz, U.; Spangehl, T.; Niehoerster, F.; Fast, I.; Kunze, M.|
|Date of Publication (YYYY-MM-DD):||2007-08|
|Title of Journal:||Philosphical Transactions of the Royal Society of London, Series A|
|Journal Abbrev.:||Phil. Trans. Roy. Soc. London - A|
|Issue / Number:||1857|
|Abstract / Description:||Long-term transient simulations are carried out in an initial condition ensemble mode using a global coupled climate model which includes comprehensive ocean and stratosphere components. This model, which is run for the years 1860-2100, allows the investigation of the troposphere-stratosphere interactions and the importance of representing the middle atmosphere in climate-change simulations.
The model simulates the present-day climate (1961-2000) realistically in the troposphere, stratosphere and ocean. The enhanced stratospheric resolution leads to the simulation of sudden stratospheric warmings; however, their frequency is underestimated by a factor of 2 with respect to observations.
In projections of the future climate using the Intergovernmental Panel on Climate Change special report on emissions scenarios A2, an increased tropospheric wave forcing counteracts the radiative cooling in the middle atmosphere caused by the enhanced greenhouse gas concentration. This leads to a more dynamically active, warmer stratosphere compared with present-day simulations, and to the doubling of the number of stratospheric warmings. The associated changes in the mean zonal wind patterns lead to a southward displacement of the Northern Hemisphere storm track in the climate-change signal.
|Free Keywords:||initial conditions ensemble; climate change; troposphere-stratosphere interaction; WINTER; TEMPERATURE|
|External Publication Status:||published|
|Communicated by:||Carola Kauhs|
|Affiliations:||MPI für Meteorologie/Model and Data Group|