
handle: 10261/98932
The simulation of the seasonal cycle in the Mediterranean by several primitive equation models is presented. All models were forced with the same atmospheric data, which consists in either a monthly averaged wind-stress with sea surface relaxation towards monthly mean sea surface temperature and salinity fields, or by daily variable European Centre for Medium Range Weather Forecast (ECMWF) reanalysed wind-stress and heat fluxes. In both situations models used the same grid resolution. Results of the modelling show that the model behaviour is similar when the most sensitive parameter, vertical diffusion, is calibrated properly. It is shown that an unrealistic climatic drift must be expected when using monthly averaged forcing functions. When using daily forcings, drifts are modified and more variability observed, but when performing an EOF analysis of the sea surface temperature, it is shown that the basic cycle, represented similarly by the models, consists of the seasonal cycle which accounts for more than 90% of its variability. © 2002 Elsevier Science B.V. All rights reserved.
The model intercomparison was supported by the European Union (MEDMEX contract MAS2-CT94-0107 and MATER contract MAS3-CT96-0051). The Alexander von Humboldt foundation and the FNRS are acknowledged for giving the opportunity to the first author to work on this topic. FNRS (FRFC 2.4592.00 F)
Beckers, Jean-Marie et al.
Peer Reviewed
Diffusion, Climatology, MEDMEX, Calibration, Sea surface temperature, Relaxation processes, Heat flux, Wind stress, Salinity measurement, Mediterranean, Computer simulation, Seasonal cycle, Seasonal cycles
Diffusion, Climatology, MEDMEX, Calibration, Sea surface temperature, Relaxation processes, Heat flux, Wind stress, Salinity measurement, Mediterranean, Computer simulation, Seasonal cycle, Seasonal cycles
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
