362
T. Soomere
and over the 5-year time interval) that filters out many short-term features of the
circulation. This filtering apparently affects the results of simulations that satisfactorily capture the mesoscale features to an almost equal extent. The overall match
of the optimum fairways for the 1 nm and 0.5 nm models suggests that the decisive
aspects of the mesoscale circulation of the Gulf of Finland (Andrejev et al. 2004a),
including the combined effects of the prevailing SW winds, the general structure
of the density field, the bathymetry and geometry of the gulf, etc., have been adequately obtained using the 1 nm OAAS model. In other words, one might speculate
that the 1 nm model reproduces the statistical properties of current-driven transport
in the Gulf of Finland quite well. This conjecture is not completely unexpected but
is nevertheless interesting.
Acknowledgements This study was supported by the funding from the Estonian Science Foundation and the European Community’s Seventh Framework Programme (2007–2013) under grant
agreement No. 217246 made with the joint Baltic Sea research and development programme
BONUS. The BalticWay project attempted to identify the regions in the Baltic Sea that are associated with increased risk compared to other sea areas and to propose ways to reduce the risk
of them being polluted by placing activities in other areas that may provide less risk. The research
was also partially supported by the Marie Curie RTN SEAMOCS (MRTN-CT-2005-019374), the
Marie Curie Transfer of Knowledge project CENS-CMA (MC-TK-013909), Marie Curie Reintegration Grant ESTSpline (PERG02-GA-2007-224819), the targeted financing by the Estonian
Ministry of Education and Science (grants SF0140077s08 and SF0140007s14) and the Estonian
Science Foundation (grant No. 7413). The contribution of Anders Anbo towards the application of
the TRACMASS model in the Institute of Cybernetics and the help from Kristofer Döös during
its use are gratefully acknowledged. The Wave Engineering Laboratory team is deeply grateful to
Markus Meier and Anders Höglund (SMHI) who provided the RCO model data and meteorological
forcing in the framework of the BONUS cooperation.
References
Abascal AJ, Castanedo S, Medina R, Liste M (2010) Analysis of the reliability of a statistical oil
spill response model. Mar Pollut Bull 60:2099–2110
Albretsen J, Røed LP (2010) Decadal simulations of mesoscale structures in the northern North
Sea/Skagerrak using two ocean models. Ocean Dyn 60:933–955
Alenius P, Myrberg K, Nekrasov A (1998) Physical oceanography of the Gulf of Finland: a review.
Boreal Environ Res 3:97–125
Alenius P, Nekrasov A, Myrberg K (2003) The baroclinic Rossby-radius in the Gulf of Finland.
Cont Shelf Res 23:563–573
Ambjörn C (2007) Seatrack web, forecasts of oil spills, a new version. Environ Res Eng Manag
3(41):60–66
Ambjörn C (2008) Seatrack web forecasts and backtracking of oil spills—an efficient tool to find
illegal spills using AIS. In: IEEE/OES US/EU-Baltic international symposium, Tallinn, Estonia,
May 27–29, 2008. IEEE Press, New York, pp 168–176
Andrejev O, Sokolov A (1989) Numerical modelling of the water dynamics and passive pollutant
transport in the Neva inlet. Meteorol Hydrol 12:75–85 (in Russian)
Andrejev O, Sokolov A (1990) 3D baroclinic hydrodynamic model and its applications to Skagerrak circulation modelling. In: Proc 17th conf Baltic oceanographers, Norrköping, Sweden,
pp 38–46
T. Soomere
and over the 5-year time interval) that filters out many short-term features of the
circulation. This filtering apparently affects the results of simulations that satisfactorily capture the mesoscale features to an almost equal extent. The overall match
of the optimum fairways for the 1 nm and 0.5 nm models suggests that the decisive
aspects of the mesoscale circulation of the Gulf of Finland (Andrejev et al. 2004a),
including the combined effects of the prevailing SW winds, the general structure
of the density field, the bathymetry and geometry of the gulf, etc., have been adequately obtained using the 1 nm OAAS model. In other words, one might speculate
that the 1 nm model reproduces the statistical properties of current-driven transport
in the Gulf of Finland quite well. This conjecture is not completely unexpected but
is nevertheless interesting.
Acknowledgements This study was supported by the funding from the Estonian Science Foundation and the European Community’s Seventh Framework Programme (2007–2013) under grant
agreement No. 217246 made with the joint Baltic Sea research and development programme
BONUS. The BalticWay project attempted to identify the regions in the Baltic Sea that are associated with increased risk compared to other sea areas and to propose ways to reduce the risk
of them being polluted by placing activities in other areas that may provide less risk. The research
was also partially supported by the Marie Curie RTN SEAMOCS (MRTN-CT-2005-019374), the
Marie Curie Transfer of Knowledge project CENS-CMA (MC-TK-013909), Marie Curie Reintegration Grant ESTSpline (PERG02-GA-2007-224819), the targeted financing by the Estonian
Ministry of Education and Science (grants SF0140077s08 and SF0140007s14) and the Estonian
Science Foundation (grant No. 7413). The contribution of Anders Anbo towards the application of
the TRACMASS model in the Institute of Cybernetics and the help from Kristofer Döös during
its use are gratefully acknowledged. The Wave Engineering Laboratory team is deeply grateful to
Markus Meier and Anders Höglund (SMHI) who provided the RCO model data and meteorological
forcing in the framework of the BONUS cooperation.
References
Abascal AJ, Castanedo S, Medina R, Liste M (2010) Analysis of the reliability of a statistical oil
spill response model. Mar Pollut Bull 60:2099–2110
Albretsen J, Røed LP (2010) Decadal simulations of mesoscale structures in the northern North
Sea/Skagerrak using two ocean models. Ocean Dyn 60:933–955
Alenius P, Myrberg K, Nekrasov A (1998) Physical oceanography of the Gulf of Finland: a review.
Boreal Environ Res 3:97–125
Alenius P, Nekrasov A, Myrberg K (2003) The baroclinic Rossby-radius in the Gulf of Finland.
Cont Shelf Res 23:563–573
Ambjörn C (2007) Seatrack web, forecasts of oil spills, a new version. Environ Res Eng Manag
3(41):60–66
Ambjörn C (2008) Seatrack web forecasts and backtracking of oil spills—an efficient tool to find
illegal spills using AIS. In: IEEE/OES US/EU-Baltic international symposium, Tallinn, Estonia,
May 27–29, 2008. IEEE Press, New York, pp 168–176
Andrejev O, Sokolov A (1989) Numerical modelling of the water dynamics and passive pollutant
transport in the Neva inlet. Meteorol Hydrol 12:75–85 (in Russian)
Andrejev O, Sokolov A (1990) 3D baroclinic hydrodynamic model and its applications to Skagerrak circulation modelling. In: Proc 17th conf Baltic oceanographers, Norrköping, Sweden,
pp 38–46