She et al.
Integrated Coastal and Biological Observing
Frontiers in Marine Science | www.frontiersin.org
6
July 2019 | Volume 6 | Article 314
• Contribute to a global observatory network, using
standard protocols, techniques, and appropriate platforms,
and ensuring quality, scalability, interoperability and
comparability, especially for biological observing.
Parameter Integration
• Support parameter integration to deliver efficiently and
timely marine observations in the entire spectrum of
ocean variables and significantly improve the efficiency
of the data use.
• Bring together and connect the different marine and
maritime stakeholders (from research, operational service,
environmental assessment to commercial activities),
developing common data policy to engage data providers
from different sectors for wider data access.
• Support integration initiatives, like the EMODnet, EOOS
and the agreement between MBON, the GOOS Biology
and Ecosystems Panel, and the OBIS; to facilitate user
applications and unlock the value of observations.
REFERENCES
Alvarez, A., and Mourre, B. (2012). Optimum sampling designs for a glider
mooring observing network. /. Atmos. Ocean. Tech. 4, 601-613. doi: 10.1175/
JTECH- D-ll -00105.1
Babin, M., Roesler, C. S., and Cullen, J. J. (eds) (2008). Real-time Coastal
Observing Systems for Marine Ecosystem Dynamics and Harmful Algal Blooms:
Theory, Instrumentation and Modelling. Oceanographic Methodology Series.
Paris: UNESCO, 807.
Barth, J. A., Allen, S. E., Dever, E. P., Dewey, R. K., Evans, W., Feely, R. A., et al.
(2019). Better regional ocean observing through cross-nation cooperation: a
case study from the Northeast Pacific. Front. Mar. Sci. 6:93. doi: 10.3389/fmars.
2019.00093
Benedetti-Cecchi, L., Crowe, T., Boehme, L., Boero, F., Christensen, A., Gremare,
A., et al. (2018). “Strengthening Europe’s Capability in Biological Ocean
Observations,” in Future Science Brief 3, eds A. Muniz Piniella, P. Kellett, K.
Larkin, and J. J. Heymans (Ostend: European Marine Board), 76.
Borja, A., Elliott, M., Andersen, J. H., Berg, T., Carstensen, J., Halpern, B. S.,
et al. (2016). Overview of integrative assessment of marine systems: the
ecosystem approach in practice. Front. Mar. Sci. 3:20. doi: 10.3389/fmars.2016.
00020
Corredor, J. E. (2018). Coastal Ocean Observing. Platforms, Sensors and Systems.
Berlin: Springer.
Heip, C., and McDonough, N. (2012). Marine Biodiversity: A Science Roadmap for
Europe, Vol. 1. Ostend: European Marine Board.
Hill, K. L., Moltmann, T., Proctor, R., and Allen, S. (2009). Australia’s integrated
marine observing system. Meteorol. Technol. Int. 1,114-120.
Le-Traon, P. Y., Reppucci, A., Fanjul, E. A., Aouf, L., Behrens, A., Belmonte, M.,
et al. (2019). From observation to information and users: the copernicus marine
service perspective. Front. Mar. Sci. 6:234. doi: 10.3389/fmars.2019.00234
Liu, Y., Kerkering, H., and Weisberg, R. H. (eds) (2015). Coastal Ocean Observing
System. Amsterdam: Elsevier.
Malone, T. C., and Cole, M. (2000). Toward a global scale coastal ocean
observing system. Oceanography 13, 7-11. doi: 10.5670/oceanog.
2000.48
Miguez, B. M., Novellino, A., Vinci, M., Claus, S., Calewaert, J.-B., Vallius, H.,
et al. (2019). The european marine observation and data network (EMODnet):
visions and roles of the gateway to marine data in Europe. Front. Mar. Sci.
doi: 10.5670/oceanog.2000.48
Miloslavich, P., Bax, N. J., Simmons, S. E., Klein, E., Appeltans, W., Aburto-
Oropeza, O., et al. (2018). Essential ocean variables for global sustained
observations of biodiversity and ecosystem changes. Glob. Change Biol. 24,
2416-2433. doi: 10.1111/gcb. 14108
Instrumental Integration
• Support instrumental integration to deliver the best
monitoring products through integrating different
monitoring components - in situ, satellite, and modeling.
• Filling knowledge gaps for the development of coastal
and ecological services, e.g., biogeochemical and biological
data assimilation, uncertainty in ecological models, optimal
sampling design methodology.
AUTHOR CONTRIBUTIONS
All authors listed have made a substantial, direct and intellectual
contribution to the work, and approved it for publication.
FUNDING
This work was supported by Danish Meteorological Institute.
Moltmann, T., Turton, J., Zhang, H., Nolan, G., Gouldman, C., Griesbauer, L., et al.
(2019). A global ocean observing system (GOOS), delivered through enhanced
collaboration across regions, communities, and new technologies. Front. Mar.
Sci. doi: 10.3389/fmars.2019.00291
Muller-Karger, F. E., Miloslavich, P., Bax, N., Simmons, S., Costello, M. J., Sousa
Pinto, I., et al. (2018). Advancing marine biological observations by linking
the essential ocean variables (EOVs) and essential biodiversity variables (EBVs)
frameworks and data requirements. Front. Mar. Sci. 5:211. doi: 10.3389/fmars.
2018.00211
Oke, P. R., Larnicol, G., Jones, E. M., Kourafalou, V. H., Sperrevik, A. K., Carse,
F., et al. (2015). Assessing the impact of observations on ocean forecasts and
reanalyses: Part 2: regional applications. /. Oper. Oceanogr. 8(Suppl. 1), s63-s79.
doi: 10.1080/1755876X.2015.1022080
She, J. (2018). “Assessment of Baltic Sea observations for operational
oceanography,” in Proceedings of the 8th EuroGOOS International Conference,
eds E. Buch, V. Fernández, D. Eparkhina, P. Gorringe, and G. Nolan (Bergen:
EuroGOOS), 79-87.
She, J., Allen, I., Buch, E., Crise, A., Johannessen, J. A., Le Traon, P.-Y., et al. (2016).
Developing european operational oceanography for blue growth, climate
change adaptation and mitigation, and ecosystem-based management. Ocean
Sci. 12, 953-976. doi: 10.5194/os-12-953-2016
She, J., Armstrup, B., Borenas, K., Buch, E., Funkquist, L., Luyten, P., et al.
(2006). “ODON: optimal design of observational networks,” in Proceedings of
the Scientific Report ofEU Fifth Framework Project ODON (Optimal Design of
Observational Networks), Belgium, 56.
She, J., Buch, E., and Nolan, G. (2017). Report on Fessons Fearned from OSSE
Experiments in Support of the Definition of Requirements to an in-Situ Observing
System. EuroGOOS-CMEMS report D2.4.1. BergemEuroGOOS, 80.
Springtall, J., and Meyers, G. (1991). An optimal XBT sampling network for the
eastern Pacific Ocean. J. Geophys. Res. 96,10539-10552.
Conflict of Interest Statement: The authors declare that the research was
conducted in the absence of any commercial or financial relationships that could
be construed as a potential conflict of interest.
Copyright © 2019 She, Muñiz Piniella, Benedetti-Cecchi, Boehme, Boero,
Christensen, Crowe, Darecki, Nogueira, Gremare, Hernandez, Kouts, Kromkamp,
Petihakis, Sousa Pinto, Reissmann, Tuomi and Zingone. This is an open-access article
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