On the ability of statistical wind-wave models to capture the variability and long-term trends of the North Atlantic winter wave climate

Bibliographic Details
Published in:Ocean Modelling
Main Authors: Martínez-Asensio, Adrián, Marcos, Marta, Tsimplis, Michael N., Jordà, Gabriel, Feng, Xiangbo, Gomis, Damià
Other Authors: Spanish Ministry of Science and Innovation, Agencia Estatal de METeorología, Spanish Ministry of Economy
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2016
Subjects:
Atmospheric Science
Geotechnical Engineering and Engineering Geology
Computer Science (miscellaneous)
Oceanography
North Atlantic
Online Access:http://dx.doi.org/10.1016/j.ocemod.2016.02.006
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spelling crelsevierbv:10.1016/j.ocemod.2016.02.006 2023-05-15T17:28:00+02:00 On the ability of statistical wind-wave models to capture the variability and long-term trends of the North Atlantic winter wave climate Martínez-Asensio, Adrián Marcos, Marta Tsimplis, Michael N. Jordà, Gabriel Feng, Xiangbo Gomis, Damià Spanish Ministry of Science and Innovation Agencia Estatal de METeorología Spanish Ministry of Economy 2016 http://dx.doi.org/10.1016/j.ocemod.2016.02.006 https://api.elsevier.com/content/article/PII:S1463500316000342?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1463500316000342?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ Ocean Modelling volume 103, page 177-189 ISSN 1463-5003 Atmospheric Science Geotechnical Engineering and Engineering Geology Computer Science (miscellaneous) Oceanography journal-article 2016 crelsevierbv https://doi.org/10.1016/j.ocemod.2016.02.006 2022-11-30T14:29:37Z Article in Journal/Newspaper North Atlantic ScienceDirect (Elsevier - via Crossref) Ocean Modelling 103 177 189
institution Open Polar
collection ScienceDirect (Elsevier - via Crossref)
op_collection_id crelsevierbv
language English
topic Atmospheric Science
Geotechnical Engineering and Engineering Geology
Computer Science (miscellaneous)
Oceanography
spellingShingle Atmospheric Science
Geotechnical Engineering and Engineering Geology
Computer Science (miscellaneous)
Oceanography
Martínez-Asensio, Adrián
Marcos, Marta
Tsimplis, Michael N.
Jordà, Gabriel
Feng, Xiangbo
Gomis, Damià
On the ability of statistical wind-wave models to capture the variability and long-term trends of the North Atlantic winter wave climate
topic_facet Atmospheric Science
Geotechnical Engineering and Engineering Geology
Computer Science (miscellaneous)
Oceanography
author2 Spanish Ministry of Science and Innovation
Agencia Estatal de METeorología
Spanish Ministry of Economy
format Article in Journal/Newspaper
author Martínez-Asensio, Adrián
Marcos, Marta
Tsimplis, Michael N.
Jordà, Gabriel
Feng, Xiangbo
Gomis, Damià
author_facet Martínez-Asensio, Adrián
Marcos, Marta
Tsimplis, Michael N.
Jordà, Gabriel
Feng, Xiangbo
Gomis, Damià
author_sort Martínez-Asensio, Adrián
title On the ability of statistical wind-wave models to capture the variability and long-term trends of the North Atlantic winter wave climate
title_short On the ability of statistical wind-wave models to capture the variability and long-term trends of the North Atlantic winter wave climate
title_full On the ability of statistical wind-wave models to capture the variability and long-term trends of the North Atlantic winter wave climate
title_fullStr On the ability of statistical wind-wave models to capture the variability and long-term trends of the North Atlantic winter wave climate
title_full_unstemmed On the ability of statistical wind-wave models to capture the variability and long-term trends of the North Atlantic winter wave climate
title_sort on the ability of statistical wind-wave models to capture the variability and long-term trends of the north atlantic winter wave climate
publisher Elsevier BV
publishDate 2016
url http://dx.doi.org/10.1016/j.ocemod.2016.02.006
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https://api.elsevier.com/content/article/PII:S1463500316000342?httpAccept=text/plain
genre North Atlantic
genre_facet North Atlantic
op_source Ocean Modelling
volume 103, page 177-189
ISSN 1463-5003
op_rights https://www.elsevier.com/tdm/userlicense/1.0/
op_doi https://doi.org/10.1016/j.ocemod.2016.02.006
container_title Ocean Modelling
container_volume 103
container_start_page 177
op_container_end_page 189
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