Ocean Dynamics
£) Springer
reasonable coverage of the North Sea and Baltic Sea. The
comparison with satellite observations has given the oppor
tunity to evaluate the real spread between the forecasts.
Comparisons of SSS and SSC forecasts to in situ data would
yield important information about RMSD. In the future, it
could be useful to assess weighting to the individual fore
casts based on either model resolution or based on model
performance as a result of model validation done by each
institute. At present, a MME of sea bottom salinity and sea
bottom temperature is being developed, which can give the
opportunity to study stratification issues, especially in the
Transition Area between North Sea and Baltic Sea.
Acknowledgments The authors would like to thank Inge Menzenhauer-
Schumacher who designed and created the webpages for the MME on the
NOOS and BOOS website. Many thanks also to Simon Jandt who sup
ported the comparison of satellite data with the MATLAB CalVal Toolbox.
E.W. Blockley and A. Sellar would like to thank Rachel Fumer, who has
helped with providing the NOOS transects data for the Met Office.
Open Access This article is distributed under the terms of the Creative
Commons Attribution 4.0 International License (http://
creativecommons.org/licenses/by/4.0/), which permits unrestricted use,
distribution, and reproduction in any medium, provided you give appro
priate credit to the original authors) and the source, provide a link to the
Creative Commons license, and indicate if changes were made.
References
Alvera-Azcarate A, Troupin C, Barth A, Beckers J-M (2011) Comparison
between satellite and in situ sea surface temperature data in the
Western Mediterranean Sea. Ocean Dyn 61:767-778
Arribas A, Robertson KB, Mylne KR (2005) Test of a poor Man’s en
semble prediction system for short-range probability forecasting.
Mon Weather Rev 133:1825-1839
Atger F (1999) The skill of ensemble prediction systems. Mon Weather
" Rev 127:1941-1953
Axell L (2013) BSRA-15: a baltic Sea reanalysis 1990-2004 vol SE-
60176 Swedish metorologigal and hydrological institute.
Norrköping, Sweden
Backhaus JO (1989) The North Sea and the climate. Dana 8:69-82
Becker J (2007) BMA for ECOOR Technical Report. Deltares, Delft
Berg P (2012) Mixing in FIBM vol 12-03. Danish Meteorological
Institute, Copenhagen, Denmark
Berg P, Poulsen JW (2012) Implementation details for FIBM vol 12-11.
Danish Meteorological Institute, Copenhagen
Brown CE (1998) Coefficient of variation. In: Applied multivariate sta
tistics in geohydrology and related sciences. Springer Berlin
Fleidelberg, New York, pp 155-157
Brüning T et al. (2014) Operational Ocean Forecasting for German
Coastal Waters Die Küste 81
Büchmann B, Hansen C, Söderkvist J (2011) Improvement of hydrody
namic forecasting of danish waters: impact of low-frequency north
atlantic barotropic variations. Ocean Dyn 61:1611-1617
Buizza R, Richardson DS, Palmer TN (2003) Benefits of increased reso
lution in the ECMWF ensemble system and comparison with poor-
man’s ensembles. Q J R Meteorol Soc 129:1269-1288
Bülow K et al. (2014) Comparison ofthree regional coupled ocean atmo
sphere models for the North Sea under today’s and future climate
conditions (KLIWAS Schriftenreihe; KLIWAS-27/2014) KLIWAS
Schriftenreihe 27
Burchard H, Bolding K, Villarreal MR (1999) GOTM - a general ocean
turbulence model. Theory, applications and test cases. European
Commission, http://www.gotm.net/pages/documentation/manual/
stable/pdf7a4.pdf. Accessed 28 May 2014
Burchard H, Janssen F, Bolding K, Umlauf L, Rennau H (2009) Model
simulations of dense bottom currents in the western Baltic Sea. Cont
Shelf Res 29:205-220
Burchard H, Bolding K, Umlauf L (2010) GETM Source Code and Test
Case Documentation Version pre 2.0.x. http://www.getm.eu/data/
getm/doc/getm-doc-devel.pdf. Accessed 28 May 2014
Daley R (1991) Atmospheric data analysis, Chapter 3. Cambridge
Atmospheric and Space Sciences Series. Cambridge University Press
Dick S, Kleine E (2008) Janssen F A new operational circulation model
for the North Sea and Baltic Sea using a novel vertical co-ordinate
setup and first results. In: Dahlin H, Bell MJ, Flemming NC,
Petersson SE (eds) Coastal to global operational oceanography:
achievements and challenges. Proceedings of the Fifth
International Conference on EuroGOOS, Exeter, pp 225-231
Dick S, Kleine E, Muller-Navarra S, Klein H, Komo H (2001) The op
erational circulation model of BSH (BSH cmod). Model description
and validation vol 29. Bundesamtes fur Seeschifffahrt und
Hydrographie, Hamburg
Doblas-Reyes FJ, Hagedom R, Palmer TN (2005) The rationale behind
the success of multi-model ensembles in seasonal forecasting - II.
Calibration and combination. Tellus 57A:234-252
Ebel M, Becker J (2010) Operational river and coastal water level forecast
using Bayesian Model Averaging. Deltares
Ebert EE (2001) Ability of a poor Man’s ensemble to predict the prob
ability and distribution of precipitation. Mon Weather Rev 129:
2461-2480
Emery WJ, Thomson RE (2001) Data analysis methods in physical
oceanography, 2nd edition. Elsevier
Evans RE, Harrison MSJ, Graham RJ, Maylne KR (2000) Joint medium-
range ensembles from the Met. Office and ECMWF systems. Mon
Weather Rev 128:3104-3127
Feistel R, Nausch G, Wasmund N (2008) State and Evolution of the
Baltic Sea, 1952-2005: A Detailed 50-Year Survey of
Meteorology and Climate, Physics, Chemistry, Biology, and
Marine Environment. Wiley
Funkquist L, Kleine E (2007) An introduction to HIROMB, an opera
tional baroclinic model for the Baltic Sea vol SE-60176. Swedish
Metorologigal and Hydrological Institute, Norrkoping
Gustafsson B (1997a) Dynamics of the seas and straits between the Baltic
and North Seas: a process-oriented oceanographic study. Goteborg
University
Gustafsson B (1997b) Interaction between Baltic Sea and North Sea.
Deutsche Hydrographische Zeitschrift 49:165-183
Hofmeister R, Beckers J-M, Burchard H (2011) Realistic modelling of the
exceptional inflows into the central Baltic Sea in 2003 using terrain
following coordinates. Ocean Model 39:233-247. doi:10.1016/j.
ocemod.2011.04.007
Hordoir R, Dieterich C, Basu C, Dietze H, Meier HEM (2013) Freshwater
outflow of the Baltic Sea and transport in the norwegian current: a
statistical correlation analysis based on a numerical experiment.
Cont Shelf Res 64:1-9
Houtekamer PL, Lefaivre L, Derome J, Ritchie H, Mitchell HL (1996) A
system simulation approach to ensemble prediction. Mon Weather
Rev 124:1225-1242
Jandt S, Lagemaa P, Janssen F (2014) A comprehensive validation tool
box for regional ocean models - Outline, implementation and appli
cation to the Baltic Sea. In: Geophysical Research Abstracts: EGU
General Assembly 2014, held 27 April - 2 May Paper presented at
the EGU General Assembly 2014, Vienna, Austria, http://
meetingorganizer.copernicus.org/EGU2014/EGU2014-l 1198.pdf