accessibility__skip_menu__jump_to_main

Full text: The Copernicus marine service from 2015 to 2021

MERCATOR OCEAN JOURNA: 
SEPTEMBER 2021 
ACKNOWLEDGEMENTS 
The authors acknowledge all team members in the Baltic MFC Consortium from BSH, DMI, FMI, SMHI and TalTech for all 
achievements performed. 
REFERENCES: 
Berg, P. and Poulsen, J. W.: 
‚mplementation details for 
HBM. Technical report, Danish 
Meteorological Institute. 2012. 
Golbeck, I., Li, X., Janssen, 
F., Brüning, T., Nielsen, J. 
W., Huess, V., Söderkvist, J., 
Büchmann, B., Siiriä, S.-M., 
Vähä-Piikkiö, O0., Hackett, B., 
Kristensen, N. M., Engedahl, 
H., Blockley, E., Sellar, A.. 
Lagemaa, P., Ozer, J., Legrand, 
S., Ljungemyr, P., Axell, L. 
Uncertainty estimation for 
operational ocean forecast 
products - a multi-model 
ansemble for the North Sea 
and the Baltic Sea. Ocean 
Dynamics (2015) 65:1603- 1631. 
D010.107/510236-015-0897-8 
Kanarik, H., Tuomi, L., 
Björkqvist, J.-V., Kärnä, T.. 
2021. Improving Baltic Sea 
wave forecasts using modelled 
surface currents. Ocean 
Dynamics (forthcoming). Doi: 
'0.1007/8s10236-021-01455-y. 
Komen GJ, Cavaleri L, 
Donelan M, HasselmannK, 
Hasselmann S, Janssen P 
(1994) Dynamicsand Modelling 
of Ocean Waves. Cambridge: 
Cam-bridge University Press, 
DOI https://doi.org/10.1017/ 
2809780511628955 
Köuts, M., Maljutenko, I., Liu, 
Y., Raudsepp, U., 2027. Nitrate, 
ammonium and phosphate pools 
in the Baltic Sea. In: Copernicus 
Marine Service Ocean State 
Report, Issue 4, Journal of 
Jperational Oceanography, 
2:sup1, accepted 
Kuznetsov, I. and Neumann, 
T., 2013. Simulation of carbon 
dynamics in the Baltic Sea with 
3 3D model. Journal of Marine 
Systems, 111, pp.167-174. 
Kärnä, T., Ljungemyr, P., 
-alahat, S., Ringgaard, I., Axell, 
L., Korabel, V., Murawski, J., 
Maljutenko, I., Lindenthal, 
A., Jandt-Scheelke, S., 
Verjovkina S., Lorkowsski, I., 
Lagemaa, P., She, J., Tuomi, 
L., Nord A., Huess, V. 2021 
\lemo-Nordic 2.0: Operational 
Marine forecast model for the 
3altic Sea. Geoscientific Model 
Development (submitted). 
Le Traon, P.Y. et al., 2017. 
he Copernicus Marine 
SZnvironmental Monitoring 
Service: Main Scientific 
Achievements and Future 
Prospects. Special Issue 
Mercator Ocean Journal #56. 
ıttps://dol.org/10.25575/56. 
Madec G, Bourdalle-Badie R, 
Chanut J, et al. NEMO ocear 
angine. 2019. https://doi. 
arg/10.5281/ZEN0D0.3878122 
Neumann,T. 2000. toward a 
3D-ecosystem model of the 
Baltic Sea. J. Mar. Syst. 25, 
405-419. https://dol.org/ 
attps://dol.org/10.1016/S0924- 
7963(00)00030-0Neumann, 
Thomas, Herbert Siegel, and 
Monika Gerth. 2015. 'A new 
-adiation model for Baltic Sea 
2cosystem modelling‘, Journal of 
Marine Systems, 152: 83-91 
Nerger, L., Hiller, W. 2013. 
5oftware for Ensemble-based 
Jata Assimilation Systems 
Implementation Strategies 
ind Scalability. Computers 
and Geosciences, 55, 110-118. 
dol:10.1016/j.cageo.2012.03.026 
Raudsepp, U., Maljutenko, 
|., Köuts, M., 2019. Cod 
-eproductive volume potential 
'n the Baltic Sea. In: Copernicus 
Marine Service Ocean State 
Zeport, Issue 3, Journal of 
Jperational Oceanography, 
2:sup1, s26-s30; DO!: 10.1080/ 
755876X.2019.1633075 
Schwichtenberg, F., Pätsch, 
J., Böttcher, M.E., Thomas, 
H., Winde, V., Emeis, K.-C, 
2020. 'The impact of intertidal 
areas on the carbonate system 
of the southern North Sea‘, 
Biogeosciences, 17: 4223-4245. 
Spruch, L., Verjovkina, S., 
Jandt, S., Schwichtenberg, F.. 
Huess, V., Lorkowski, I. and 
Lagemaa, P., 2020. Quality 
Information Document: Baltic 
Sea Biogeochemical Analysis 
and Forecasting Product. Link: 
https://resources.marine. 
zopernicus.eu/documents/QUID: 
ZMEMS-BAL-QUID-003-007.pdf 
Tolman, H. 2003. Treatment 
of unresloved islands and ice 
in wind wave modesl. Ocean 
Modelling. 5. 2019-231. DOI: 
9.1016/S1463-5003(02)00040-9 
Tuomi L, Kanarik H, Björkqvist 
J-V, Marjamaa R, Vainio J, 
Hordoir R, Höglund A and 
Kahma KK. 2019. Impact of 
Ice Data Quality and Treatmen* 
on Wave Hindcast Statistics ir 
Seasonally Ice-Covered Seas. 
Front. Earth Sci. 7:166. doi: 
1.3389/feart.2019.00166 
Wan, Z., Bi, H. and She, J., 
2013. Comparison of two light 
attenuation parameterization 
focusing on timing of spring 
bloom and primary production 
in the Baltic Sea. Ecological 
modelling, 25%, pp.40-49 
Zeebe, Richard E, and Dieter 
Wolf-Gladrow. 2001. CO, in 
seawater: equilibrium, kinetics. 
isotopes (Gulf Professional 
Publishing).
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.