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Durand, D., et al. Satellite observation and model prediction of toxic algae bloom. Proceedings of the 2nd EuroGOOS International Conference, Rome, 11-13 March, 1999. Elsevier Oceanography Series 66 (2002).
Buehner, M., Bertino, L., Caya, A., Heimbach, P. & Smith, G. Sea ice data assimilation. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).doi:10.1017/9781108277600
Sandven, S. & Johannessen, O.M. Sea ice monitoring by Remote Sensing. Remote Sensing of the Marine Environment (ed. J. Gower), Manual of Remote Sensing 6, 241-283 (2006).
Sandven, S. Sea ice monitoring in European Arctic Seas using a multisensor approach. Remote Sensing of the European Seas. Series: Springer Science+Business Media B.V. 487 – 498 (2008).doi:10.1007/978-1-4020-6772-3_37 Abstract
Pedersen, L.T., et al. Sea Ice Observations. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).at <https://www.cambridge.org/core/books/sea-ice-analysis-and-forecasting/B74BD33160B03EE1FA77CC9BB80E7DA7>
Laxon, S.W., Johannessen, O.M., Miles, M., Wadhams, P. & Walsh, J.E. Sea Ice Observations. Chapter 8 in Mass balance of the cryosphere: Observations and modeling of contemporary and future changes. 337-392 (2004).
Lemieux, J.-F., et al. Sea Ice Physics and Modelling. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).
Sandven, S. & Johannessen, O.M. Seasonal ice zone studies. The Sea, Ocean Engineering Science 9, 567-591 (1990).