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References
Axell L (2002) Wind-driven internal waves and Langmuir circulations in
a numerical ocean model of the southern Baltic Sea. Journal of
Geophysical Research 107. https://doi.org/10.1029/2001JC000922
Berg P (2012) Mixing in HBM, scientific report, vol 12-03. Danisch
Meteorological Institute, Copenhagen
Berg P, Poulsen JW (2012) Implementation details for HBM, technical
report, vol 12-11. Danish Meteorological Institute, Copenhagen
Breivik ©, Allen AA, Maisondieu C, Olagnon M (2013) Advances in
search and rescue at sea. Ocean Dyn 63:83—88. https://doi.org/10.
1007/s10236-012-0581-1
Broström G, Carrasco A, Hole LR, Dick S, Janssen F, Mattsson J, Berger
$ (2011) Usefulness of high resolution coastal models for operation-
al oil spill forecast: the “Full City” accident. Ocean Science 7:805—
820. https://doi.org/10.5194/o0s-7-805-2011
Brüning T et al (2014) Operational ocean forecasting for German coastal
waters. Die Küste 81:273—-290
Callies U, Groll N, Horstmann J, Kapitza H, Klein H, Maßmann S,
Schwichtenberg F (2017) Surface drifters in the German Bight:
model validation considering windage and stokes drift. Ocean
Science 13:799—-827. https://doi.0org/10.5194/os-13-799-2017
Canuto VM, Howard A, Cheng Y, Dubovikov MS (2002) Ocean
Turbulence. Part II: Vertical Diffusitivities of Momentum, Heat,
Salt, Mass, and Passive Scalars. Joumal of Physical Oceanography
32:240-264
Canuto VM, Howard A, Cheng Y, Muller CJ, Leboissetier A, Jayne SR
(2010) Ocean turbulence, II: new GISS vertical mixing scheme.
Ocean Model 34:70-91
CLAIM (n.d.) CLean is the AIM. http://www.claim-h2020project.eu/,
accessed 30.12.2018, 2018
CMEMS (n.d.) Baltic Sea Physical Analysis and Forecasting Product
BALTICSEA_ANALYSIS_FORECAST_PHY_003_006.
Copernicus Marine Environment Monitoring Service.
marine.copernicus.eu/documents/QUID/CMEMS-BAL-QUID-
003-006.pdf, accessed 30.11.2018, 2018
Je Kleermaeker S., Verlaan M., Kroos J., Zijl F. (2012) A new coastal
flood forecasting system for the Netherlands, paper presented at the
Hydro12 - taking care of the sea, Rotterdam, https://doi.org/10.
3990/2.246.
Ocean Dynamics
Dick S, Kleine E, Müller-Navarra SH (2001) The operational circulation
model of BSH (BSH cmod), model description and validation vol
29. Bundesamtes für Seeschifffahrt und Hydrographie, Hamburg
Dick S, Kleine E, Janssen F (2008) A new operational circulation model
for the North Sea and the Baltic using a novel vertical co-ordinate -
setup and first results, In: Dalhin H, Bell MJ, Flemming NC,
Detersson SE (Eds), Coastal to Global Operational Oceanography:
Achievements and Challenges Proceedings of the Fifth International
Conference on EuroGOOS, 20-22 May 2008, Exeter, UK, pp. 225-
231
Fu W, She J, Dobrynin M (2012) A 20-year reanalysis experiment in the
Baltic Sea using three-dimensional variational (3DVAR) method.
Ocean Science 8. https://doi.0org/10.5194/0s-8-827-2012
Gillner C.A., Carpenter J., Holtermann P.L., Umlauf L. (2017) The 11th
Baltic Sea Science Congress ‘Living along gradients: past, present,
uture’ - Abstracts: P109 - Direct evidence of double-diffusive
mixing in the Baltic Sea, https://www.io-warnemuende.de/tl_files/
conference/bssc2017/bssc2017-abstract-book.pdf. Accessed 30.12.
2018 2018, 2017
Golbeck I et al (2015) Uncertainty estimation for operational ocean fore-
cast products—a multi-model ensemble for the North Sea and the
Baltic Sea. Ocean Dynamics 65:1603—-1631. https://doi.org/10.
L007/s10236-015-0897-8
Janssen F, Schrum C, Backhaus JO (1999) A climatological data set of
temperature and salinity for the Baltic Sea and the North Sea.
Deutsche Hydrographische Zeitschrift 51(Supplement 9). https://
doi.org/10.1007/BF02933676
Kleine E.: A class of hybrid vertical coordinates for ocean circulation
modelling, proceedings 6th HIROMB scientific workshop,
StPetersburg: 7-15, 2004
Le Traon P-Y et al (2017) The Copernicus Marine Environmental
Monitoring Service: main scientific achievements and future pros-
pects, special issue. Mercator Ocean J 56. https://doi.org/10.25575/
56
Maßmann S, Janssen F, Brüning T, Kleine E, Komo H, Menzenhauer-
Schumacher I, Dick S (2014) An operational oil drift forecasting
system for German coastal waters. Die Küste 81:255-271
Mateus M et al (2012) An operational model for the west Iberian coast:
products and services. Ocean Sci 8:713—732. https://doi.org/10.
5194/o0s-8-713-2012
Neumann D, Friedland R, Karl M, Radtke H, Matthias V, Neumann T
(2018) Importance of high resolution nitrogen deposition data for
'iogeochemical modeling in the western Baltic Sea and the contri-
ution of the shipping sector. Ocean Science Discussions. https://
doi.org/10.5194/o0s-2018-71 (in review)
She J et al (2016) Developing European operational oceanography for
blue growth, climate change adaptation and mitigation, and
ecosystem-based management. Ocean Sci 12:953-976. https://doi.
org/10.5194/os-12-953-2016
Smagorinsky J (1963) General circulation experiments with the primitive
equations, I. the basic experiment. Mon Weather Rev 91:99-164
Umlauf L, Burchardt H (2005) Second-order turbulence closure models
for geophysical boundary layers. A review of recent work. Cont
Shelf Res 25:795—827
Umlauf L, Burchardt H, Hutter K (2003) Extending the k-w turbulence
model towards oceanic applications. Ocean Model 5:195—-218.
https://doi.org/10.1016/S 1463-5003 (02)00039-2
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