Abstract
The northernmost part of the Mediterranean Sea, the northern Adriatic shelf, is a complex area where the intensity of dense water formation and the consequent Adriatic-Ionian thermohaline circulation are shaped by a combination of extreme wintertime bora winds and substantial freshwater loads. To better understand the impact of global warming on extreme bora dynamics and the associated sea surface cooling, this study applies the Adriatic Sea and Coast (AdriSC) kilometer-scale modelling suite to the far future climate (2060–2100) period. Under both Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 greenhouse emission scenarios, the AdriSC simulations are carried out via the combination of a statistical approach—consisting of an ensemble of 3-day simulations for 22 extreme bora events, and a pseudo-global warning (PGW) methodology—imposing a climatological change to the forcing used to produce the evaluation (present climate) runs. Despite a noteworthy decrease in intensity of the bora winds (by up to 3 m/s), the latent heat losses are simulated to increase (by up to 150 W/m2) due to the reduction in relative humidity in the northern Adriatic (by up to 3%). Consequently, the sea surface cooling associated with severe bora events and preconditioning the dense shelf water formation in the northern Adriatic is projected to not significantly change compared to present climate. Although these results need to be further confirmed, this study thus provides a new view on the future of processes driven by sea surface cooling, such as the dense shelf water formation or the Adriatic-Ionian thermohaline circulation, that were projected to decrease in the future climate by regional climate models an order of magnitude coarser than the AdriSC simulations.
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The model results and the measurements used to produce this article can be obtained under the Open Science Framework (OSF) FAIR data repository https://osf.io/7d6jq/ (https://doi.org/10.17605/OSF.IO/7D6JQ).
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Acknowledgements
Special thanks to Roman Brogli from the Eidgenössische Technische Hochschule (ETH Zürich, Switzerland) and Laurent Li from the Université Pierre et Marie Curie (Paris, France) who provided insights concerning the pseudo-global warming (PGW) method and the regional climate model ocean-atmosphere results (from LMDZ4-NEMOMED8), respectively, used in this study. Support of the European Centre for Middle-range Weather Forecast (ECMWF) staff is greatly appreciated, in particular Xavier Abellan and Carsten Maass, as well as for ECMWF's computing and archive facilities used in this research. Finally, the authors would like to thank the two anonymous reviewers for their valuable comments. This work has been supported by projects ADIOS and BivACME (the respective Croatian Science Foundation Grants IP-2016-06-1955 and IP-2019-04-8542), CHANGE WE CARE (Interreg Italy-Croatia Programme project) and ECMWF Special Project (The Adriatic decadal and inter-annual oscillations: modelling component).
Funding
ADIOS project: Croatian Science Foundation Grant IP-2016-06-1955. BivACME project: Croatian Science Foundation Grant IP-2019-04-8542. CHANGE WE CARE project: Interreg Italy-Croatia Programme Grant. European Centre for Middle-range Weather Forecast (ECMWF) Special Project: The Adriatic decadal and inter-annual oscillations: modelling component.
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IV and CD contributed to the study conception and design. Material preparation was done by IT and CD. Set-up of the models and simulations were performed by CD. Analysis of the results and production of the figures were performed by IT, IV and CD. The first draft of the manuscript was written by CD and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Appendix
Appendix
Physical quantities used for the description of the bora dynamics:
\(\theta\): Potential temperature (K).
\(r\): Mixing ratio (kg/kg).
\(g = 9.81\): Gravitational acceleration (m/s2).
\(\alpha\): Specific volume (m3/kg).
\({{\varvec{\Omega}}}\): Angular velocity vector of the earth's rotation (rad/s).
\({\mathbf{u}}\): Three-dimensional wind velocity vector (m/s).
\(U\): Horizontal wind speed (m/s).
\(\theta {}_{va} = \theta \left( {1 + 0.61r} \right)\): Virtual potential temperature (K).
\(N = \left( {\frac{g}{{\theta {}_{va}}}\frac{{\partial \theta {}_{va}}}{\partial z}} \right)^{\frac{1}{2}}\): Brunt-Väisälä frequency (1/s or Hz).
\(PV = \alpha \left( {2{{\varvec{\Omega}}} + \nabla \times {\mathbf{u}}} \right).\nabla \theta\): Potential vorticity (PVU = 10–6 m2K/s/kg).
\(F_{r} = \frac{U}{hN}\): Froude number, with h the height of the mountain.
Physical quantities used for the calculation of the surface heat fluxes:
\(U_{a}\): Horizontal wind speed at 2 m (m/s).
\(T_{a}\): Air temperature at 2 m (°C).
\(T_{s}\): Sea surface temperature (°C).
\(r_{h}\): Relative humidity at 2 m (%).
\(\rho_{a}\): Density of moist air at 2 m (kg/m3).
\(P_{a}\): Mean sea level pressure (hPa).
\(e_{sat} \left( T \right)\): Saturation vapor pressure (hPa).
\(L\left( T \right) = 2501000 - 2370T\): Latent heat of vaporization (J/kg).
\(C_{H} ,C_{E} = 0.00115\): Turbulent transfer coefficients.
\(C_{p} = 1004.67\): Specific heat capacity (J/K/kg).
\(q_{a} \approx \frac{{0.62197\left( {0.01 \, r_{h} \, e_{sat} \left( {T_{a} } \right)} \right)}}{{p_{a} }}\): Air saturation specific humidity at 2 m (kg/kg).
\(q_{s} \approx \frac{{0.62197\left( {0.98 \, e_{sat} \left( {T_{s} } \right)} \right)}}{{p_{a} }}\): Sea surface saturation specific humidity (kg/kg).
\(Q_{H} = \rho_{a} C{}_{H}C_{p} U_{a} \left( {T_{a} - T_{s} } \right)\): Sensible heat flux (W/m2).
\(Q_{E} = \rho_{a} C{}_{E}U_{a} L\left( {T_{s} } \right)\left( {q_{a} - q_{s} } \right)\): Latent heat flux (W/m2).
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Denamiel, C., Tojčić, I. & Vilibić, I. Far future climate (2060–2100) of the northern Adriatic air–sea heat transfers associated with extreme bora events. Clim Dyn 55, 3043–3066 (2020). https://doi.org/10.1007/s00382-020-05435-8
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DOI: https://doi.org/10.1007/s00382-020-05435-8