@misc{paetsch_an_evaluation_2017, 
author={Paetsch, J.,Burchard, H.,Dieterich, C.,Graewe, U.,Groeger, M.,Mathis, M.,Kapitza, H.,Bersch, M.,Moll, A.,Pohlmann, T.,Su, J.,Ho-Hagemann, H.T.M.,Schulz, A.,Elizalde, A.,Eden, C.},
title={An evaluation of the North Sea circulation in global and regional models relevant for ecosystem simulations},
year={2017},
howpublished = {journal article},
doi = {https://doi.org/10.1016/j.ocemod.2017.06.005},
abstract = {Simulations of the North Sea circulation by the global ocean model MPI-OM and the regional ocean models GETM, HAMSOM, NEMO, TRIM are compared against each other and with observational data for the period 1998–2009. The aim of the study is to evaluate the quality of the simulations in particular with respect to their suitability to drive biogeochemical shelf sea models. Our results demonstrate the benefit of the global model to avoid the specification of lateral open boundary conditions. Due to its stretched grid configuration, which provides a higher grid resolution at the Northwest European Shelf, the global model is able to reproduce the large-scale features, such as the water mass distribution and the thermal stratification in the central and northern North Sea, qualitatively similar to the regional models. The simulation of temperature and salinity near the coast however, shows large biases in almost all models because of the coarse meteorological forcing and too coarse vertical resolutions. The simulation of the Baltic Sea exchange and the spread of freshwater along the Norwegian coast proved difficult for all models except GETM, which reproduces impacts of the Baltic Sea outflow reasonably well.},
note = {Online available at: \url{https://doi.org/10.1016/j.ocemod.2017.06.005} (DOI). Paetsch, J.; Burchard, H.; Dieterich, C.; Graewe, U.; Groeger, M.; Mathis, M.; Kapitza, H.; Bersch, M.; Moll, A.; Pohlmann, T.; Su, J.; Ho-Hagemann, H.; Schulz, A.; Elizalde, A.; Eden, C.: An evaluation of the North Sea circulation in global and regional models relevant for ecosystem simulations. Ocean Modelling. 2017. vol. 116, 70-95. DOI: 10.1016/j.ocemod.2017.06.005}}