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dc.contributor.authorDagestad, Knut-Frode
dc.contributor.authorRöhrs, Johannes
dc.contributor.authorBreivik, Øyvind
dc.contributor.authorÅdlandsvik, Bjørn
dc.date.accessioned2019-04-26T11:30:38Z
dc.date.available2019-04-26T11:30:38Z
dc.date.issued2018-04-13
dc.PublishedDagestad KF, Röhrs J, Breivik Ø, Ådlandsvik B. OpenDrift v1.0: A generic framework for trajectory modelling. Geoscientific Model Development. 2018;11(4):1405-1420eng
dc.identifier.issn1991-9603en_US
dc.identifier.issn1991-959Xen_US
dc.identifier.urihttps://hdl.handle.net/1956/19413
dc.description.abstractOpenDrift is an open-source Python-based framework for Lagrangian particle modelling under development at the Norwegian Meteorological Institute with contributions from the wider scientific community. The framework is highly generic and modular, and is designed to be used for any type of drift calculations in the ocean or atmosphere. A specific module within the OpenDrift framework corresponds to a Lagrangian particle model in the traditional sense. A number of modules have already been developed, including an oil drift module, a stochastic search-and-rescue module, a pelagic egg module, and a basic module for atmospheric drift. The framework allows for the ingestion of an unspecified number of forcing fields (scalar and vectorial) from various sources, including Eulerian ocean, atmosphere and wave models, but also measurements or a priori values for the same variables. A basic backtracking mechanism is inherent, using sign reversal of the total displacement vector and negative time stepping. OpenDrift is fast and simple to set up and use on Linux, Mac and Windows environments, and can be used with minimal or no Python experience. It is designed for flexibility, and researchers may easily adapt or write modules for their specific purpose. OpenDrift is also designed for performance, and simulations with millions of particles may be performed on a laptop. Further, OpenDrift is designed for robustness and is in daily operational use for emergency preparedness modelling (oil drift, search and rescue, and drifting ships) at the Norwegian Meteorological Institute.en_US
dc.language.isoengeng
dc.publisherCopernicus Publicationsen_US
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0eng
dc.titleOpenDrift v1.0: A generic framework for trajectory modellingen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2018-08-13T11:04:03Z
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2018 The Author(s)en_US
dc.identifier.doihttps://doi.org/10.5194/gmd-11-1405-2018
dc.identifier.cristin1588133
dc.source.journalGeoscientific Model Development
dc.relation.projectNorges forskningsråd: 244262 RETROSPECT
dc.relation.projectNorges forskningsråd: 237906 CIRFA


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