The routes of the Mediterranean Sea circulation

The Mediterranean Sea is a semi-enclosed basin connected to the Atlantic Ocean through the narrow and shallow Strait of Gibraltar and further subdivided in two different sub-basins, the Eastern Mediterranean and the Western Mediterranean, connected through the Stait of Sicily. On annual basis, a net heat budget of −7 W/m2, combined with exceeding evaporation over precipation and runoff together with wind stress, is responsible for the antiestuarine character of the zonal thermoaline circulation. The outflow at Gibraltar Strait is mainly composed of Levantine Intermediate Water (LIW) and deep water masses formed in the Western Mediterranean Sea. The aim of this thesis is to validate and quantitatively assess the main routes of water masses composing the ouflow at Gibraltar Strait, using for the first time in the Mediterranean Sea a lagrangian interpretation of the eulerian velocity field produced from an eddy-resolving reanalysis dataset, spanning from 2000 to 2012. A lagrangian model named Ariane is used to map out three-dimensional trajectories in order to describe the pathways of water mass transport from the Strait of Sicily, the Gulf of Lyon and the Northern Tyrrhenian Sea to the Gibraltar Strait. Numerical experiments were carried out by seeding millions of particles in the Strait of Gibraltar and following them backwards in time to track the origins of water masses and transport exchanged between the different sections of the Mediterranean. Finally, the main routes of the intermediate and deep water masses are reconstructed from virtual particles trajectories, which highlight the role of the Western Mediterranean Deep Water (WMDW) as the main contributor to the Gibraltar Strait outflow. For the first time, the quantitative description of the flow of water masses coming from the Eastern Mediterranean towards the Gibraltar Strait is provided and a new route that directly links the Northern Tyrrhenian Sea to Gibralatr Strait has been detected.

Characterization of ENSO changes under idealised radiative forcing in an intermediate complexity general circulation model

Intermediate-complexity general circulation models are a fundamental tool to investigate the role of internal and external variability within the general circulation of the atmosphere and ocean. The model used in this thesis is an intermediate complexity atmospheric general circulation model (SPEEDY) coupled to a state-of-the-art modelling framework for the ocean (NEMO). We assess to which extent the model allows a realistic simulation of the most prominent natural mode of variability at interannual time scales: El-Niño Southern Oscillation (ENSO). To a good approximation, the model represents the ENSO-induced Sea Surface Temperature (SST) pattern in the equatorial Pacific, despite a cold tongue-like bias. The model underestimates (overestimates) the typical ENSO spatial variability during the winter (summer) seasons. The mid-latitude response to ENSO reveals that the typical poleward stationary Rossby wave train is reasonably well represented. The spectral decomposition of ENSO features a spectrum that lacks periodicity at high frequencies and is overly periodic at interannual timescales. We then implemented an idealised transient mean state change in the SPEEDY model. A warmer climate is simulated by an alteration of the parametrized radiative fluxes that corresponds to doubled carbon dioxide absorptivity. Results indicate that the globally averaged surface air temperature increases of 0.76 K. Regionally, the induced signal on the SST field features a significant warming over the central-western Pacific and an El-Niño-like warming in the subtropics. In general, the model features a weakening of the tropical Walker circulation and a poleward expansion of the local Hadley cell. This response is also detected in a poleward rearrangement of the tropical convective rainfall pattern. The model setting that has been here implemented provides a valid theoretical support for future studies on climate sensitivity and forced modes of variability under mean state changes.