nerc.ac.uk

Model intercomparison in the Mediterranean: the MedMEx simulations of the seasonal cycle

Beckers, J-M.; Rixen, M.; Brasseur, P.; Brankart, J-M.; Elmoussaoui, A.; Crépon, M.; Martel, F.; Van den Berghe, F.; Mortier, L.; Lascaratos, A.; Drakopoulos, P.; Korres, G.; Nittis, K.; Pinardi, N.; Masetti, E.; Castellari, S.; Carini, P.; Tintore, J.; Alvarez, A.; Monserrat, S.; Parrilla, D.; Vautard, R.; Speich, S.. 2002 Model intercomparison in the Mediterranean: the MedMEx simulations of the seasonal cycle. Journal of Marine Systems, 33-34. 215-251. https://doi.org/10.1016/S0924-7963(02)00060-X

Full text not available from this repository.

Abstract/Summary

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.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1016/S0924-7963(02)00060-X
ISSN: 0924-7963
Additional Keywords: Mediterranean; MEDMEX; Seasonal cycle
Date made live: 31 Jul 2008 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/155504

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...