Stochastic simulation of inhomogeneous metocean fields. Part II: Synoptic variability and rare events
The paper discusses stochastic models for the synoptic variability of metocean fields using spatio-temporal impulse representations combined with Markov walks of storms in space. The models are fitted to an extensive data set of ocean wave fields from the Barents Sea and verified by studying the fie...
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ftntunivathens:oai:dspace.lib.ntua.gr:123456789/15580 2023-05-15T15:38:41+02:00 Stochastic simulation of inhomogeneous metocean fields. Part II: Synoptic variability and rare events Boukhanovsky, AV Krogstad, HE Lopatoukhin, LJ Rozhkov, VA Athanassoulis, GA Stephanakos, CN 2003 http://dspace.lib.ntua.gr/handle/123456789/15580 https://doi.org/10.1007/3-540-44862-4_25 English eng SPRINGER-VERLAG BERLIN info:eu-repo/semantics/openAccess free Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Extreme Value Ocean Wave Rare Event Stochastic Model Stochastic Simulation Computer Science Theory & Methods TIME-SERIES WAVE HEIGHT MODEL info:eu-repo/semantics/article 2003 ftntunivathens https://doi.org/10.1007/3-540-44862-4_25 2019-07-13T15:56:40Z The paper discusses stochastic models for the synoptic variability of metocean fields using spatio-temporal impulse representations combined with Markov walks of storms in space. The models are fitted to an extensive data set of ocean wave fields from the Barents Sea and verified by studying the fields duration and extreme value properties. © Springer-Verlag Berlin Heidelberg 2003. Article in Journal/Newspaper Barents Sea National Technical University of Athens (NTUA): DSpace Barents Sea 223 233 |
institution |
Open Polar |
collection |
National Technical University of Athens (NTUA): DSpace |
op_collection_id |
ftntunivathens |
language |
English |
topic |
Extreme Value Ocean Wave Rare Event Stochastic Model Stochastic Simulation Computer Science Theory & Methods TIME-SERIES WAVE HEIGHT MODEL |
spellingShingle |
Extreme Value Ocean Wave Rare Event Stochastic Model Stochastic Simulation Computer Science Theory & Methods TIME-SERIES WAVE HEIGHT MODEL Boukhanovsky, AV Krogstad, HE Lopatoukhin, LJ Rozhkov, VA Athanassoulis, GA Stephanakos, CN Stochastic simulation of inhomogeneous metocean fields. Part II: Synoptic variability and rare events |
topic_facet |
Extreme Value Ocean Wave Rare Event Stochastic Model Stochastic Simulation Computer Science Theory & Methods TIME-SERIES WAVE HEIGHT MODEL |
description |
The paper discusses stochastic models for the synoptic variability of metocean fields using spatio-temporal impulse representations combined with Markov walks of storms in space. The models are fitted to an extensive data set of ocean wave fields from the Barents Sea and verified by studying the fields duration and extreme value properties. © Springer-Verlag Berlin Heidelberg 2003. |
format |
Article in Journal/Newspaper |
author |
Boukhanovsky, AV Krogstad, HE Lopatoukhin, LJ Rozhkov, VA Athanassoulis, GA Stephanakos, CN |
author_facet |
Boukhanovsky, AV Krogstad, HE Lopatoukhin, LJ Rozhkov, VA Athanassoulis, GA Stephanakos, CN |
author_sort |
Boukhanovsky, AV |
title |
Stochastic simulation of inhomogeneous metocean fields. Part II: Synoptic variability and rare events |
title_short |
Stochastic simulation of inhomogeneous metocean fields. Part II: Synoptic variability and rare events |
title_full |
Stochastic simulation of inhomogeneous metocean fields. Part II: Synoptic variability and rare events |
title_fullStr |
Stochastic simulation of inhomogeneous metocean fields. Part II: Synoptic variability and rare events |
title_full_unstemmed |
Stochastic simulation of inhomogeneous metocean fields. Part II: Synoptic variability and rare events |
title_sort |
stochastic simulation of inhomogeneous metocean fields. part ii: synoptic variability and rare events |
publisher |
SPRINGER-VERLAG BERLIN |
publishDate |
2003 |
url |
http://dspace.lib.ntua.gr/handle/123456789/15580 https://doi.org/10.1007/3-540-44862-4_25 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
op_rights |
info:eu-repo/semantics/openAccess free |
op_doi |
https://doi.org/10.1007/3-540-44862-4_25 |
container_start_page |
223 |
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233 |
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1766369907077808128 |