EXTREME WAVES IN THE MARGINAL RUSSIAN SEAS: UNCERTAINTY OF ESTIMATION AND CLIMATE VARIABILITY

An analysis of extreme characteristics of surface wind waves in the three marginal Russian seas (Barents, Black and the Sea of Okhotsk) was performed using visual wave observations. Estimates of extreme seas, swell and significant wave heights were computed using the initial value distribution metho...

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Published in:GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY
Main Authors: Viktoria Grigorieva, Sergey Gulev, Peter Koltermann
Format: Article in Journal/Newspaper
Language:English
Published: Russian Geographical Society 2011
Subjects:
Online Access:https://ges.rgo.ru/jour/article/view/216
https://doi.org/10.24057/2071-9388-2011-4-2-22-29
id ftjges:oai:oai.gesj.elpub.ru:article/216
record_format openpolar
institution Open Polar
collection Geography, Environment, Sustainability (E-Journal)
op_collection_id ftjges
language English
topic ocean wind waves;extreme events;probability distributions
spellingShingle ocean wind waves;extreme events;probability distributions
Viktoria Grigorieva
Sergey Gulev
Peter Koltermann
EXTREME WAVES IN THE MARGINAL RUSSIAN SEAS: UNCERTAINTY OF ESTIMATION AND CLIMATE VARIABILITY
topic_facet ocean wind waves;extreme events;probability distributions
description An analysis of extreme characteristics of surface wind waves in the three marginal Russian seas (Barents, Black and the Sea of Okhotsk) was performed using visual wave observations. Estimates of extreme seas, swell and significant wave heights were computed using the initial value distribution method and the peak over threshold method. Due to the use of large samples compiled for the entire seas the differences between the two methods are considerably smaller than those that would be expected for grid-cell estimates. This implies a relatively high reliability of the results. In the Barents Sea both methods demonstrate growing tendencies for the extreme wind waves, while mean values do not exhibit any significant trends. This hints at a considerable modification of the statistical distribution of wind wave heights rather than on general growth of wind seas. Some further perspectives of the analysis of regional wind wave extremes are discussed.
format Article in Journal/Newspaper
author Viktoria Grigorieva
Sergey Gulev
Peter Koltermann
author_facet Viktoria Grigorieva
Sergey Gulev
Peter Koltermann
author_sort Viktoria Grigorieva
title EXTREME WAVES IN THE MARGINAL RUSSIAN SEAS: UNCERTAINTY OF ESTIMATION AND CLIMATE VARIABILITY
title_short EXTREME WAVES IN THE MARGINAL RUSSIAN SEAS: UNCERTAINTY OF ESTIMATION AND CLIMATE VARIABILITY
title_full EXTREME WAVES IN THE MARGINAL RUSSIAN SEAS: UNCERTAINTY OF ESTIMATION AND CLIMATE VARIABILITY
title_fullStr EXTREME WAVES IN THE MARGINAL RUSSIAN SEAS: UNCERTAINTY OF ESTIMATION AND CLIMATE VARIABILITY
title_full_unstemmed EXTREME WAVES IN THE MARGINAL RUSSIAN SEAS: UNCERTAINTY OF ESTIMATION AND CLIMATE VARIABILITY
title_sort extreme waves in the marginal russian seas: uncertainty of estimation and climate variability
publisher Russian Geographical Society
publishDate 2011
url https://ges.rgo.ru/jour/article/view/216
https://doi.org/10.24057/2071-9388-2011-4-2-22-29
geographic Barents Sea
Okhotsk
geographic_facet Barents Sea
Okhotsk
genre Barents Sea
genre_facet Barents Sea
op_source GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY; Vol 4, No 2 (2011); 22-29
2542-1565
2071-9388
op_relation https://ges.rgo.ru/jour/article/view/216/213
Caires, S. and Sterl, A. (2005): 100-year return value estimates for wind speed and significant
wave height from the ERA-40 data. J. Climate, 18, 1032–1048.
Gulev, S.K., Grigorieva, V. Sterl, A. and Woolf, D. (2003a): Assessment of the reliability of
wave observations from voluntary observing ships: Insights from the validation of a global
wind wave climatology based on voluntary observing ship data. J. Geophys. Res., 108,
doi:10.1029/2002JC001437.
Gulev, S.K. and Grigorieva, V. (2004): Last century changes in ocean wind wave height from
global visual wave data. Geophys. Res. Lett., 31, L24302, doi:10.1029/2004GL021040.
Gulev, S. K., and Grigorieva, V. (2006): Variability of the winter wind waves and swell in the
North Atlantic and North Pacific as revealed by the voluntary observing ship data. Journal
of Climate, 19, 5667–5685.
Loeptien, U., Zolina, O., Gulev, S.K., Latif, M. and Soloviov, V. (2008): Cyclone life cycle
characteristics over the Northern Hemisphere in coupled GCMs. Climate Dyn., 31,
doi:10.1007/s00382-007-0355-5.
Sterl, A. and Caires, S. (2005): Climatology, Variability and Extrema of Ocean Waves – The
Web-based KNMI/ERA-40 Wave Atlas. Int. J. Climatol., 25, 963–977, doi:10.1002/joc.1175.
Wang, X.L., Zwiers, F.W. and Swail, V.R. (2004): North Atlantic Ocean Wave Climate Change
Scenarios for the Twenty-First Century. Journal of Climate, 17, 2368–2383.
Worley, S.J., Woodruff, S.D., Reynolds, R.W., Lubker, S.J. and Lott, N. (2005): ICOADS release
1 data and products, Int. J. Climatol., 25, DOI:10.1002/joc.1166.
Young, I.R., Zieger, S. and Babanin, A.V. (2011): Global Trends in Wind Speed and Wave
Height. Science, doi:10.1126/science.1197219.
https://ges.rgo.ru/jour/article/view/216
doi:10.24057/2071-9388-2011-4-2-22-29
op_rights Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).The information and opinions presented in the Journal reflect the views of the authors and not of the Journal or its Editorial Board or the Publisher. The GES Journal has used its best endeavors to ensure that the information is correct and current at the time of publication but takes no responsibility for any error, omission, or defect therein.
Авторы, публикующие в данном журнале, соглашаются со следующим:Авторы сохраняют за собой авторские права на работу и предоставляют журналу право первой публикации работы на условиях лицензии Creative Commons Attribution License, которая позволяет другим распространять данную работу с обязательным сохранением ссылок на авторов оригинальной работы и оригинальную публикацию в этом журнале.Авторы сохраняют право заключать отдельные контрактные договорённости, касающиеся не-эксклюзивного распространения версии работы в опубликованном здесь виде (например, размещение ее в институтском хранилище, публикацию в книге), со ссылкой на ее оригинальную публикацию в этом журнале.Авторы имеют право размещать их работу
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https://doi.org/10.1029/2004GL021040
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spelling ftjges:oai:oai.gesj.elpub.ru:article/216 2023-05-15T15:38:54+02:00 EXTREME WAVES IN THE MARGINAL RUSSIAN SEAS: UNCERTAINTY OF ESTIMATION AND CLIMATE VARIABILITY Viktoria Grigorieva Sergey Gulev Peter Koltermann 2011-06-01 application/pdf https://ges.rgo.ru/jour/article/view/216 https://doi.org/10.24057/2071-9388-2011-4-2-22-29 eng eng Russian Geographical Society https://ges.rgo.ru/jour/article/view/216/213 Caires, S. and Sterl, A. (2005): 100-year return value estimates for wind speed and significant wave height from the ERA-40 data. J. Climate, 18, 1032–1048. Gulev, S.K., Grigorieva, V. Sterl, A. and Woolf, D. (2003a): Assessment of the reliability of wave observations from voluntary observing ships: Insights from the validation of a global wind wave climatology based on voluntary observing ship data. J. Geophys. Res., 108, doi:10.1029/2002JC001437. Gulev, S.K. and Grigorieva, V. (2004): Last century changes in ocean wind wave height from global visual wave data. Geophys. Res. Lett., 31, L24302, doi:10.1029/2004GL021040. Gulev, S. K., and Grigorieva, V. (2006): Variability of the winter wind waves and swell in the North Atlantic and North Pacific as revealed by the voluntary observing ship data. Journal of Climate, 19, 5667–5685. Loeptien, U., Zolina, O., Gulev, S.K., Latif, M. and Soloviov, V. (2008): Cyclone life cycle characteristics over the Northern Hemisphere in coupled GCMs. Climate Dyn., 31, doi:10.1007/s00382-007-0355-5. Sterl, A. and Caires, S. (2005): Climatology, Variability and Extrema of Ocean Waves – The Web-based KNMI/ERA-40 Wave Atlas. Int. J. Climatol., 25, 963–977, doi:10.1002/joc.1175. Wang, X.L., Zwiers, F.W. and Swail, V.R. (2004): North Atlantic Ocean Wave Climate Change Scenarios for the Twenty-First Century. Journal of Climate, 17, 2368–2383. Worley, S.J., Woodruff, S.D., Reynolds, R.W., Lubker, S.J. and Lott, N. (2005): ICOADS release 1 data and products, Int. J. Climatol., 25, DOI:10.1002/joc.1166. Young, I.R., Zieger, S. and Babanin, A.V. (2011): Global Trends in Wind Speed and Wave Height. Science, doi:10.1126/science.1197219. https://ges.rgo.ru/jour/article/view/216 doi:10.24057/2071-9388-2011-4-2-22-29 Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).The information and opinions presented in the Journal reflect the views of the authors and not of the Journal or its Editorial Board or the Publisher. The GES Journal has used its best endeavors to ensure that the information is correct and current at the time of publication but takes no responsibility for any error, omission, or defect therein. Авторы, публикующие в данном журнале, соглашаются со следующим:Авторы сохраняют за собой авторские права на работу и предоставляют журналу право первой публикации работы на условиях лицензии Creative Commons Attribution License, которая позволяет другим распространять данную работу с обязательным сохранением ссылок на авторов оригинальной работы и оригинальную публикацию в этом журнале.Авторы сохраняют право заключать отдельные контрактные договорённости, касающиеся не-эксклюзивного распространения версии работы в опубликованном здесь виде (например, размещение ее в институтском хранилище, публикацию в книге), со ссылкой на ее оригинальную публикацию в этом журнале.Авторы имеют право размещать их работу CC-BY GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY; Vol 4, No 2 (2011); 22-29 2542-1565 2071-9388 ocean wind waves;extreme events;probability distributions info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2011 ftjges https://doi.org/10.24057/2071-9388-2011-4-2-22-29 https://doi.org/10.1029/2002JC001437 https://doi.org/10.1029/2004GL021040 https://doi.org/10.1007/s00382-007-0355-5 https://doi.org/10.1002/joc.1175 https://doi.org/10.1002/joc.1166 https://doi 2021-05-21T07:34:00Z An analysis of extreme characteristics of surface wind waves in the three marginal Russian seas (Barents, Black and the Sea of Okhotsk) was performed using visual wave observations. Estimates of extreme seas, swell and significant wave heights were computed using the initial value distribution method and the peak over threshold method. Due to the use of large samples compiled for the entire seas the differences between the two methods are considerably smaller than those that would be expected for grid-cell estimates. This implies a relatively high reliability of the results. In the Barents Sea both methods demonstrate growing tendencies for the extreme wind waves, while mean values do not exhibit any significant trends. This hints at a considerable modification of the statistical distribution of wind wave heights rather than on general growth of wind seas. Some further perspectives of the analysis of regional wind wave extremes are discussed. Article in Journal/Newspaper Barents Sea Geography, Environment, Sustainability (E-Journal) Barents Sea Okhotsk GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 4 2 22 29