期刊
OCEAN MODELLING
卷 99, 期 -, 页码 43-59出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ocemod.2015.12.010
关键词
Ocean modelling; Ocean reanalysis; Atlantic Water; Model comparison; Volume transport; Norwegian Sea
资金
- EU within the projects My-Ocean2 [283367]
- MyOcean FollowOn [633085]
- Copernicus Marine Environmental Monitoring Service
- CPU time from the NOTUR2 Norwegian supercomputing project [11112993k]
The Nordic Seas is a hotspot both in terms of climate related processes, such as Atlantic-Arctic heat exchange, and natural marine resources. A sustainable management of the marine resources within the Nordic Seas, including the co-existence between fisheries and petroleum industries, requires detailed information on the state of the ocean within an operational framework and beyond what is obtainable from observations only. Numerical ocean models applying data assimilation techniques are utilized to address this need. Subsequently, comprehensive comparisons between model results and observations are required in order to assess the model perforinance. Here, we apply a set of objective statistics to quantitatively assess the added value of data assimilation in numerical ocean models that are currently used operationally. The results indicate that the inclusion of data assimilation improves the model performance both in terms of hydrographic properties and volume and heat transports. Furthermore, we find that increasing the resolution towards eddy resolving resolution performs similarly to coarser resolution models applying data assimilation in shelf areas. (C) 2016 The Authors. Published by Elsevier Ltd.
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