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Assessment of an ensemble of ocean-atmosphere coupled and uncoupled regional climate models to reproduce the climatology of Mediterranean cyclones

Authors :
Flaounas, Emmanouil
Kelemen, Fanni Dora
Wernli, Heini
Gaertner, Miguel Angel
Reale, Marco
Sanchez-Gomez, Emilia
Lionello, Piero
Calmanti, Sandro
Podrascanin, Zorica
Somot, Samuel
Akhtar, Naveed
Romera, Raquel
Conte, Dario
Flaounas, Emmanouil
Kelemen, Fanni Dora
Wernli, Heini
Gaertner, Miguel Angel
Reale, Marco
Sanchez-Gomez, Emilia
Lionello, Piero
Calmanti, Sandro
Podrascanin, Zorica
Somot, Samuel
Akhtar, Naveed
Romera, Raquel
Conte, Dario
Publication Year :
2018

Abstract

This study aims to assess the skill of regional climate models (RCMs) at reproducing the climatology of Mediterranean cyclones. Seven RCMs are considered, five of which were also coupled with an oceanic model. All simulations were forced at the lateral boundaries by the ERA-Interim reanalysis for a common 20-year period (1989-2008). Six different cyclone tracking methods have been applied to all twelve RCM simulations and to the ERA-Interim reanalysis in order to assess the RCMs from the perspective of different cyclone definitions. All RCMs reproduce the main areas of high cyclone occurrence in the region south of the Alps, in the Adriatic, Ionian and Aegean Seas, as well as in the areas close to Cyprus and to Atlas mountains. The RCMs tend to underestimate intense cyclone occurrences over the Mediterranean Sea and reproduce 24-40 % of these systems, as identified in the reanalysis. The use of grid nudging in one of the RCMs is shown to be beneficial, reproducing about 60 % of the intense cyclones and keeping a better track of the seasonal cycle of intense cyclogenesis. Finally, the most intense cyclones tend to be similarly reproduced in coupled and uncoupled model simulations, suggesting that modeling atmosphere-ocean coupled processes has only a weak impact on the climatology and intensity of Mediterranean cyclones.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1364912490
Document Type :
Electronic Resource