Abstract:In the paper we propose a binary classification method to identify episodes of anomalies in physicochemical parameters related to mixing and exchange of water masses. For training and validation of classifier we use high resolution time series from the Boknis Eck monitoring station in the southwestern Baltic Sea. To study the role of air ocean coupling, in addition to ocean parameters, we use high resolution wind speed observations from the Kiel lighthouse weather station. The detection accuracy of anomalies r… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.