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Storm Frequency in the Northern Baltic Sea Region and its Association to the North Atlantic Oscillation
Stockholms universitet, Naturvetenskapliga fakulteten, Institutionen för naturgeografi.
2018 (engelsk)Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgave
Abstract [en]

Storms can be both destructive and valuable at the same time. They expose coastal areas to various risks but can also enhance the supply of wind energy and provide marine ecosystems with oxygen rich water. As the North Atlantic Oscillation (NAO) is known to have a significant impact on the wind climate in Europe, investigating its interconnection to storm frequency and intensity under global warming circumstances in the Northern Baltic Sea region was of interest in this study. Wind speed data series of annual storm counts were obtained from five meteorological stations along with PC-based NAO values over the period 1960-2017. The data series were analysed in Microsoft Excel and modelled using a Poisson regression or negative binomial regression model in SPSS Statistics. The results display an unsystematic spatial pattern both in the association to the NAO as well as in the overall storm frequency. However, storm (≥ 21 m s-1) frequency has generally been decreasing, whereas the proportion of severe storms (≥ 24 m s-1) has slightly been increasing, suggesting a tendency toward stronger but fewer storms. Even though only certain data series display statistically significant findings (p ≤ .05), a majority of the winter storms and severe winter storms display a positive association, indicating that a higher NAOI is related to a greater number of winter storms. The spatial and temporal variability in the obtained results can partially be explained by storm tracks and prevalent wind directions. Nevertheless, inhomogeneities do presumably affect the wind speed observations through internal and external influences and changes related to the meteorological stations. Future research should, therefore, also consider integrating other storm related parameters, such as direct air pressure measurements, wave heights and storm surges, as well as implement different data homogenization methods and techniques.

sted, utgiver, år, opplag, sider
2018. , s. 61
Emneord [en]
Climate, Wind, Storm Frequency, Baltic Sea, NAO
HSV kategori
Identifikatorer
URN: urn:nbn:se:su:diva-165907OAI: oai:DiVA.org:su-165907DiVA, id: diva2:1286415
Veileder
Examiner
Tilgjengelig fra: 2019-02-13 Laget: 2019-02-06 Sist oppdatert: 2019-02-13bibliografisk kontrollert

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