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Assessment of meteorological climate models as inputs for coastal studies

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Abstract

Modeling studies of future changes in coastal hydrodynamics, in terms of storm surges and wave climate, need appropriate wind and atmospheric forcings, a necessary requirement for the realistic reproduction of the statistics and the resolution of small scale features. This work compares meteorological results from different climate models in the Mediterranean area, with a focus on the Adriatic Sea, in order to assess their capability to reproduce coastal meteorological features and their possibility to be used as forcings for hydrodynamic simulations. Five meteorological datasets are considered. They are obtained from two regional climate models, implemented with different spatial resolutions and setups and are downscaled from two different global climate models. Wind and atmospheric pressure fields are compared with measurements at four stations along the Italian Adriatic coast. The analysis is carried out both on simulations of the control period 1960–1990 and on the A1B Intergovernmental Panel for Climate Change scenario projections (2070–2100), highlighting the ability of each model in reproducing the statistical coastal meteorological behavior and possible changes. The importance of simulated global- and regional-scale meteorological processes, in terms of correct spatial resolution of the phenomena, is also discussed. Within the Adriatic Sea, the meteorological climate is influenced by the local orography that controls the strengthening of north-eastern katabatic winds like Bora. Results show indeed that the increase in spatial resolution provides a more realistic wind forcing for the hydrodynamic simulations. Moreover, the chosen setup and the global climate models that drive the regional downscalings appear to play an important role in reproducing correct atmospheric pressure fields. The comparison between scenario and control simulations shows a small increase in the mean atmospheric pressure values, while a decrease in mean wind speed and in extreme wind events is observed, particularly for the datasets with higher spatial resolution. Finally, results suggest that an ensemble of downscaled climate models is likely to provide the most suitable climatic forcings (wind and atmospheric pressure fields) for coastal hydrodynamic modeling.

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References

  • Bergamasco A, Filippetto V, Tomasin A, Carniel S (2003) Northern Adriatic general circulation behaviour induced by heat fluxes variations due to possible climatic changes. Il Nuovo Cimento 26(C):521–533

    Google Scholar 

  • Blumberg AF, Mellor GL (1986) A description of a three-dimensional coastal ocean circulation model. In: Heaps N (ed) Three-dimensional coastal ocean models. Coastal and estuarine science, vol 4. American Geophysical Union, Washington, DC, pp 1–16

    Google Scholar 

  • Djurdjevic V, Rajkovic B (2008) Verification of a coupled atmosphere–ocean model using satellite observations over the Adriatic Sea. Ann Geophys 26:1935–1954

    Article  Google Scholar 

  • Djurdjevic V, Rajkovic B (2010) Development of the EBU-POM coupled regional climate model and results from climate change experiments. Nova, New York

    Google Scholar 

  • EU (2006) Green paper towards a future maritime policy for the union: a European vision for the oceans and seas. Presented by the commission, Brussels, COM, 275 final vol II—ANNEX

  • Giorgi F, Bi X, Pal J (2004) Mean interannual variability and trends in a regional climate change experiment over Europe. Clim Dyn 22:733–756

    Article  Google Scholar 

  • Gualdi S, Scoccimarro E, Navarra A (2008) Changes in tropical cyclone activity due to global warming: results from a high-resolution coupled general circulation model. J Climate 21:5204–5228

    Article  Google Scholar 

  • IPCC (2007) Climate change 2007: synthesis report. Technical report, IPCC

  • Jungclaus J, Keenlyside N, Botzet M, Haak H, Luo J, Marotzke J, Mikolajewicz U, Roeckner E (2006) Ocean circulation and tropical variability in the coupled model ECHAM5/ MPI-OM. J Climate 19:3952–3972

    Article  Google Scholar 

  • Kessler E (1969) On the distribution and continuity of water substance in atmospheric circulations. Meteorol Monogr 10:84

    Google Scholar 

  • Krzic A, Tosic I, Djurdjevic V, Rajkovic B (2011) Changes in some indices over serbia according to the SRES A1B and A2. Clim Res 49:73–86

    Article  Google Scholar 

  • Orlić M, Gačić M, Violette PL (1992) The currents and circulation of the Adriatic Sea. Oceanol Acta 15:109–124

    Google Scholar 

  • Pasarić M, Orlić M (2004) Meteorological forcing of the Adriatic: present vs. projected climate conditions. Geofizika 21:69–87

    Google Scholar 

  • Pirazzoli P, Tomasin A (2003) Wind and atmospheric pressure in Venice in the 20th century: a comparative analysis of measurements from the meteorological stations of the Seminario Patriarcale (1901–1955) and the Istituto Cavanis (1959–2000). Atti dell’Istituto Veneto di Scienze, Lettere ed Arti, Classe di Scienze Fisiche, Matematiche e Naturali CLX:401–426

  • Pugh D (2004) Changing sea levels. Effect of tides, weather and climate. Cambridge University Press, Cambridge

    Google Scholar 

  • Rockel B, Will A, Hense A (2008) The regional climate model COSMO-CLM (CCLM). Meteorol Z 17(4):347–348

    Article  Google Scholar 

  • Roeckner E, Arpe K, Schlese U, Bengtsson L, Christoph M, Duemenil L, Esch M, Giorgetta M, Schulzweida U, Claussen M (1996) The atmospheric general circulation model ECHAM-4: model description and simulation of present-day climate. Max-Planck-Institut fuer Meteorologie Report

  • Scoccimarro E, Gualdi S, Bellucci A, Sanna A, Fogli P, Manzini E, Vichi M, Oddo P, Navarra A (2011) Effects of tropical cyclones on ocean heat transport in a high resolution coupled general circulation model. J Climate. doi:10.1175/2011JCLI4104.1

    Google Scholar 

  • Signell RP, Carniel S, Cavaleri L, Chiggiato J, Doyle JD, Pullen J, Sclavo M (2005) Assessment of wind quality for oceanographic modelling in semi-enclosed basins. J Mar Syst 53:217–233

    Article  Google Scholar 

  • Somot S, Sevault F, dequé M (2006) Transient climate change scenario simulation of the Mediterranean sea for the twenty-first century using a high-resolution ocean circulation model. Clim Dyn 27:857–879

    Article  Google Scholar 

  • Somot S, Sevault F, dequé M, Crépon M (2008) 21st century climate scenario for the Mediterranean using a coupled atmosphere–ocean regional climate model. Glob Planet Change 63:112–126

    Article  Google Scholar 

  • Tiedtke M (1989) A comprehensive mass flux scheme for cumulus parameterization in large scale models. Mon Weather Rev 117:1779–1800

    Article  Google Scholar 

  • Tsimplis M, Marcos M, Somot S (2008) 21st century Mediterranean sea level rise: steric and atmospheric pressure contributions from a regional model. Glob Planet Change 63:105–111

    Article  Google Scholar 

  • Vichi M, May W, Navarra A (2003) Response of a complex ecosystem model of the northern Adriatic Sea to a regional climate change scenario. Clim Res 24:141–158

    Article  Google Scholar 

  • Woth K, Weisse R, Storch HV (2006) Climate change and North Sea storm surge extremes: an ensemble study of storm surge extremes expected in a changed climate projected by four different regional climate models. Ocean Dyn 56:3–15

    Article  Google Scholar 

  • Zampieri M, Giorgi F, Lionello P, Nikulin G (2010) Regional climate change in the northern Adriatic. Phys Chem Earth. doi:10.1016/j.pce.2010.02.003

    Google Scholar 

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Acknowledgements

The support of the European Commission through FP7.2009-1, Contract 244104—THESEUS (“Innovative technologies for safer European coasts in a changing climate”) is gratefully acknowledged. The authors want to thank the World Data Center for Climate, Hamburg, for the provision of the S18E5 dataset. Thanks also to Professor B. Rajković for producing the E dataset and Dr. E. Scoccimarro for the help in handling the E dataset. The authors also want to thank the anonymous reviewers that helped in improving this work with their precious comments.

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Correspondence to Debora Bellafiore.

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Responsible Editor: Chari Pattiaratchi

This article is part of the Topical Collection on Physics of Estuaries and Coastal Seas 2010.

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Bellafiore, D., Bucchignani, E., Gualdi, S. et al. Assessment of meteorological climate models as inputs for coastal studies. Ocean Dynamics 62, 555–568 (2012). https://doi.org/10.1007/s10236-011-0508-2

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  • DOI: https://doi.org/10.1007/s10236-011-0508-2

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