Investigation of sea-breeze convergence in Salento Peninsula (southeastern Italy)

Comin, Alcimoni Nelci; Miglietta, Mario Marcello; Rizza, Umberto; Acevedo, Otávio C.; Degrazia, Gervásio Annes

doi:10.1016/j.atmosres.2015.03.010

Cited by 26 publications

(15 citation statements)

References 37 publications

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“…In other words, the stabilization of the lower atmosphere occurs more rapidly in the afternoon once the SB is established. Most of the SB studies have focused on early‐afternoon SB cases and the interaction with convective turbulence (for instance Antonelli and Rotunno and Comin et al ), but do not deal with the transition to stable nocturnal conditions. The role of katabatic flows as they interact with local turbulence during the afternoon–evening transition has certainly been observed and even modelled (e.g.…”

Section: Sea Breeze–turbulence Interaction In the Ablmentioning

confidence: 99%

Impacts of afternoon and evening sea‐breeze fronts on local turbulence, and on CO₂ and radon‐222 transport

Arrillaga

Arellano

Bosveld

et al. 2018

Quart J Royal Meteoro Soc

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We investigated sharp disruptions of local turbulence and scalar transport due to the arrival of sea-breeze fronts (SBFs). To this end, we employed a comprehensive 10-year observational database from the Cabauw Experimental Site for Atmospheric Research (CESAR, the Netherlands). Sea-breeze (SB) days were selected using a five-filter algorithm, which accounts for large-scale conditions and a clear mesoscale-frontal signal associated with the land-sea contrast. Among those days (102 in all, 8.3%), based on the value of the sensible-heat flux at the onset of SB, we identified three atmospheric boundary-layer (ABL) regimes: convective, transition and stable. In the convective regime, the thermally driven convective boundary layer is only slightly altered by a small enhancement of the shear when the SBF arrives. Regarding the transition regime, we found that the ABL afternoon transition is accelerated. This was quantified by estimating the contributions of shear and buoyancy to the turbulent kinetic energy. Other relevant disruptions are the sharp reduction in ABL depth (∼250 m/hr) and the sudden increase in average wind speed (> 2 m/s). In the stable regime, the arrival of the SB leads to disturbances in the wind profile at the surface layer. We observed a deviation of more than 1 m/s in the observed surface-layer wind profile compared with the profile calculated using Monin-Obukhov Similarity Theory (MOST). Our findings furthermore reveal the determinant role of the SB direction in the transport of water vapour, CO 2 and 222 Rn. The return of continental air masses driven by the SB circulation generates sharp CO 2 increases (up to 14 ppm in half an hour) in a few SB events. We suggest that the variability in 222 Rn evolution may also be influenced by other non-local processes such as the large-scale footprint from more remote sources.

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Section: Sea Breeze–turbulence Interaction In the Ablmentioning

confidence: 99%

Impacts of afternoon and evening sea‐breeze fronts on local turbulence, and on CO₂ and radon‐222 transport

Arrillaga

Arellano

Bosveld

et al. 2018

Quart J Royal Meteoro Soc

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“…Golding et al, 2005), the Salento peninsula in Italy (e.g. Comin et al, 2015), the Hainan Island in China (e.g. Liang and Wang, 2017), coastal Cameroon (e.g.…”

Section: Introductionmentioning

confidence: 99%

Aerosol–cloud interactions in mixed-phase convective clouds – Part 1: Aerosol perturbations

et al. 2018

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Abstract. Changes induced by perturbed aerosol conditions in moderately deep mixed-phase convective clouds (cloud top height ∼ 5 km) developing along sea-breeze convergence lines are investigated with high-resolution numerical model simulations. The simulations utilise the newly developed Cloud-AeroSol Interacting Microphysics (CASIM) module for the Unified Model (UM), which allows for the representation of the two-way interaction between cloud and aerosol fields. Simulations are evaluated against observations collected during the COnvective Precipitation Experiment (COPE) field campaign over the southwestern peninsula of the UK in 2013. The simulations compare favourably with observed thermodynamic profiles, cloud base cloud droplet number concentrations (CDNC), cloud depth, and radar reflectivity statistics. Including the modification of aerosol fields by cloud microphysical processes improves the correspondence with observed CDNC values and spatial variability, but reduces the agreement with observations for average cloud size and cloud top height.Accumulated precipitation is suppressed for higheraerosol conditions before clouds become organised along the sea-breeze convergence lines. Changes in precipitation are smaller in simulations with aerosol processing. The precipitation suppression is due to less efficient precipitation production by warm-phase microphysics, consistent with parcel model predictions.In contrast, after convective cells organise along the sea-breeze convergence zone, accumulated precipitation increases with aerosol concentrations. Condensate production increases with the aerosol concentrations due to higher vertical velocities in the convective cores and higher cloud top heights. However, for the highest-aerosol scenarios, no further increase in the condensate production occurs, as clouds grow into an upper-level stable layer. In these cases, the reduced precipitation efficiency (PE) dominates the precipitation response and no further precipitation enhancement occurs. Previous studies of deep convective clouds have related larger vertical velocities under high-aerosol conditions to enhanced latent heating from freezing. In the presented simulations changes in latent heating above the 0 • C are negligible, but latent heating from condensation increases with aerosol concentrations. It is hypothesised that this increase is related to changes in the cloud field structure reducing the mixing of environmental air into the convective core.The precipitation response of the deeper mixed-phase clouds along well-established convergence lines can be the opposite of predictions from parcel models. This occurs when clouds interact with a pre-existing thermodynamic environment and cloud field structural changes occur that are not captured by simple parcel model approaches.

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“…Ramis and Alonso [20] used geostationary visible imagery to show the development of the sea breeze zonal convergence in the center of the island. Comin et al [21] also used imagery satellite and radar to show the development of the sea breeze zonal convergence in Salento Peninsula. Mazon and Pino [22] showed that the interaction between a cold air mass driven by land breeze with a warmer and wetter prevailing synoptic flow may cause precipitation bands near the coastline.…”

Section: Advances In Meteorologymentioning

confidence: 99%

Numerical Simulation of Sea Breeze Convergence over Antarctic Peninsula

Comin

Acevedo

2017

Advances in Meteorology

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The convergence zone induced by sea breeze systems over Antarctic Peninsula is analyzed for the summer season of 2013–2015. 59 days, selected by satellite images for the absence of major synoptic forcing, are simulated using the WRF model. Sea breeze convergence has been detected in 21 of these days, mostly during evening hours and under large-scale winds. Breeze events are associated with a cold anomaly at the peninsula with respect to the climatology. This condition favors the onset of the necessary horizontal thermal gradients to trigger the breeze circulation. At the same time, no anomaly of the average pressure at sea level is found, indicating that events are favored when the average synoptic flow is present. Case studies indicate that the convergence location over the peninsula is controlled by the synoptic wind. An average convergence over the peninsula happens from 14:00 to 22:30 UTC, with a maximum at 18:00 UTC. There is a strong potential temperature gradient between the surface of the peninsula and the sea, with the sea breeze circulation system extending up to 1.2 km or higher. The sensible heat flux reaches 80 W/m2at the top of mountains and 10 W/m2near the coast.

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Investigation of sea-breeze convergence in Salento Peninsula (southeastern Italy)

Cited by 26 publications

References 37 publications

Impacts of afternoon and evening sea‐breeze fronts on local turbulence, and on CO₂ and radon‐222 transport

Impacts of afternoon and evening sea‐breeze fronts on local turbulence, and on CO₂ and radon‐222 transport

Aerosol–cloud interactions in mixed-phase convective clouds – Part 1: Aerosol perturbations

Numerical Simulation of Sea Breeze Convergence over Antarctic Peninsula

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Investigation of sea-breeze convergence in Salento Peninsula (southeastern Italy)

Cited by 26 publications

References 37 publications

Impacts of afternoon and evening sea‐breeze fronts on local turbulence, and on CO2 and radon‐222 transport

Impacts of afternoon and evening sea‐breeze fronts on local turbulence, and on CO2 and radon‐222 transport

Aerosol–cloud interactions in mixed-phase convective clouds – Part 1: Aerosol perturbations

Numerical Simulation of Sea Breeze Convergence over Antarctic Peninsula

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Product

Resources

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Impacts of afternoon and evening sea‐breeze fronts on local turbulence, and on CO₂ and radon‐222 transport

Impacts of afternoon and evening sea‐breeze fronts on local turbulence, and on CO₂ and radon‐222 transport