dc.contributor.author | Andersson, Leif Erik | |
dc.contributor.author | Scibilia, Francesco | |
dc.contributor.author | Copland, Luke | |
dc.contributor.author | Imsland, Lars Struen | |
dc.date.accessioned | 2019-04-02T14:46:33Z | |
dc.date.available | 2019-04-02T14:46:33Z | |
dc.date.created | 2018-11-20T13:09:36Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Cold Regions Science and Technology. 2018, 155 69-89. | nb_NO |
dc.identifier.issn | 0165-232X | |
dc.identifier.uri | http://hdl.handle.net/11250/2592995 | |
dc.description.abstract | Short-term iceberg drift prediction is challenging. Large uncertainties in the driving forces – current, wind and waves – usually prevent accurate forecasts. Recently several statistical iceberg forecast models have been proposed by the authors, which use iceberg position measurements to improve the short-term drift forecast. In this article these statistical forecast methods and models are briefly reviewed. An extensive comparison between the statistical models, in addition to a dynamic iceberg forecast model, is performed on several iceberg drift trajectories. Based on this comparison a new statistical forecast scheme is proposed that combines some of the advantages of the other methods. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Comparison of statistical iceberg forecast models | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 69-89 | nb_NO |
dc.source.volume | 155 | nb_NO |
dc.source.journal | Cold Regions Science and Technology | nb_NO |
dc.identifier.doi | 10.1016/j.coldregions.2018.07.003 | |
dc.identifier.cristin | 1632625 | |
dc.relation.project | Norges forskningsråd: 223254 | nb_NO |
dc.description.localcode | © 2018. This is the authors’ accepted and refereed manuscript to the article. Locked until 17.7.2020 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | nb_NO |
cristin.unitcode | 194,63,25,0 | |
cristin.unitname | Institutt for teknisk kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |