Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas – research and operational applications

• Published in: Geoscientific Model Development 2019-01, Vol.12 (1), p.363-386
• Main Authors: Hordoir, Robinson, Axell, Lars, Hoglund, Anders, Dieterich, Christian, Fransner, Filippa, Groger, Matthias, Liu, Ye, Pemberton, Per, Schimanke, Semjon, Andersson, Helen, Ljungemyr, Patrik, Nygren, Petter, Falahat, Saeed, Nord, Adam, Jonsson, Anette, Lake, Irene, Doos, Kristofer, Hieronymus, Magnus, Dietze, Heiner, Loptien, Ulrike, Kuznetsov, Ivan, Westerlund, Antti, Tuomi, Laura, Haapala, Jari
• Format: Article
• Language: English
• Subjects: Anthropogenic factors; Barotropic mode; Climate change; Climate effects; Climate models; Climate studies; Columnar structure; Computer simulation; Deep water; Dynamics; Ecosystems; Fishing; Inflow; Marine ecosystems; Model accuracy; Ocean models; Oceanographic research; Oceans; Sea level; Shipping; Tourism; Vertical profiles; Water column; Water salinity
• ISSN: 1991-9603; 1991-959X; 1991-962X; 1991-9603; 1991-962X
• DOI: 10.5194/gmd-12-363-2019

We present Nemo-Nordic, a Baltic and North Sea model based on the NEMO ocean engine. Surrounded by highly industrialized countries, the Baltic and North seas and their assets associated with shipping, fishing and tourism are vulnerable to anthropogenic pressure and climate change. Ocean models providing reliable forecasts and enabling climatic studies are important tools for the shipping infrastructure and to get a better understanding of the effects of climate change on the marine ecosystems. Nemo-Nordic is intended to be a tool for both short-term and long-term simulations and to be used for ocean forecasting as well as process and climatic studies. Here, the scientific and technical choices within Nemo-Nordic are introduced, and the reasons behind the design of the model and its domain and the inclusion of the two seas are explained. The model's ability to represent barotropic and baroclinic dynamics, as well as the vertical structure of the water column, is presented. Biases are shown and discussed. The short-term capabilities of the model are presented, especially its capabilities to represent sea level on an hourly timescale with a high degree of accuracy. We also show that the model can represent longer timescales, with a focus on the major Baltic inflows and the variability in deep-water salinity in the Baltic Sea.