Influence of large-scale atmospheric circulation on European sea level: results based on the wavelet transform method

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Influence of large-scale atmospheric circulation on European sea level: results based on the wavelet transform method. / Jevrejeva, S; Moore, J C; Woodworth, P L; Grinsted, Aslak.

In: Tellus. Series A: Dynamic Meteorology and Oceanography, Vol. 57, No. 2, 2005, p. 183-193.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Jevrejeva, S, Moore, JC, Woodworth, PL & Grinsted, A 2005, 'Influence of large-scale atmospheric circulation on European sea level: results based on the wavelet transform method', Tellus. Series A: Dynamic Meteorology and Oceanography, vol. 57, no. 2, pp. 183-193.

APA

Jevrejeva, S., Moore, J. C., Woodworth, P. L., & Grinsted, A. (2005). Influence of large-scale atmospheric circulation on European sea level: results based on the wavelet transform method. Tellus. Series A: Dynamic Meteorology and Oceanography, 57(2), 183-193.

Vancouver

Jevrejeva S, Moore JC, Woodworth PL, Grinsted A. Influence of large-scale atmospheric circulation on European sea level: results based on the wavelet transform method. Tellus. Series A: Dynamic Meteorology and Oceanography. 2005;57(2):183-193.

Author

Jevrejeva, S ; Moore, J C ; Woodworth, P L ; Grinsted, Aslak. / Influence of large-scale atmospheric circulation on European sea level: results based on the wavelet transform method. In: Tellus. Series A: Dynamic Meteorology and Oceanography. 2005 ; Vol. 57, No. 2. pp. 183-193.

Bibtex

@article{41c5b0c0e62b11ddbf70000ea68e967b,
title = "Influence of large-scale atmospheric circulation on European sea level: results based on the wavelet transform method",
abstract = "We examine relationships between the variability in the long-term time series of European sea level and the large-scale atmospheric circulation represented by the North Atlantic Oscillation (NAO) and Arctic Oscillation (AO) indices using the wavelet transform (WT). Results demonstrate that between 10% and 35% of the variance in winter mean sea level may be explained by the atmospheric circulation influence. However, the relationship between atmospheric circulation and sea level shows remarkable changes over time, especially between the earlier part of the twentieth century and the 1990s. Four dominant signals with periods 2.2, 3.5, 5.2 and 7.8 yr are detected and analysed by the WT using time series of sea level typically 150 yr long together with the NAO/AO indices. Cross-wavelet power and wavelet coherence confirm the linkages between the two parameters for selective time periods.",
author = "S Jevrejeva and Moore, {J C} and Woodworth, {P L} and Aslak Grinsted",
note = "Paper id:: 10.1111/j.1600-0870.2005.00090.x",
year = "2005",
language = "English",
volume = "57",
pages = "183--193",
journal = "Tellus. Series A: Dynamic Meteorology and Oceanography",
issn = "0280-6495",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS

TY - JOUR

T1 - Influence of large-scale atmospheric circulation on European sea level: results based on the wavelet transform method

AU - Jevrejeva, S

AU - Moore, J C

AU - Woodworth, P L

AU - Grinsted, Aslak

N1 - Paper id:: 10.1111/j.1600-0870.2005.00090.x

PY - 2005

Y1 - 2005

N2 - We examine relationships between the variability in the long-term time series of European sea level and the large-scale atmospheric circulation represented by the North Atlantic Oscillation (NAO) and Arctic Oscillation (AO) indices using the wavelet transform (WT). Results demonstrate that between 10% and 35% of the variance in winter mean sea level may be explained by the atmospheric circulation influence. However, the relationship between atmospheric circulation and sea level shows remarkable changes over time, especially between the earlier part of the twentieth century and the 1990s. Four dominant signals with periods 2.2, 3.5, 5.2 and 7.8 yr are detected and analysed by the WT using time series of sea level typically 150 yr long together with the NAO/AO indices. Cross-wavelet power and wavelet coherence confirm the linkages between the two parameters for selective time periods.

AB - We examine relationships between the variability in the long-term time series of European sea level and the large-scale atmospheric circulation represented by the North Atlantic Oscillation (NAO) and Arctic Oscillation (AO) indices using the wavelet transform (WT). Results demonstrate that between 10% and 35% of the variance in winter mean sea level may be explained by the atmospheric circulation influence. However, the relationship between atmospheric circulation and sea level shows remarkable changes over time, especially between the earlier part of the twentieth century and the 1990s. Four dominant signals with periods 2.2, 3.5, 5.2 and 7.8 yr are detected and analysed by the WT using time series of sea level typically 150 yr long together with the NAO/AO indices. Cross-wavelet power and wavelet coherence confirm the linkages between the two parameters for selective time periods.

M3 - Journal article

VL - 57

SP - 183

EP - 193

JO - Tellus. Series A: Dynamic Meteorology and Oceanography

JF - Tellus. Series A: Dynamic Meteorology and Oceanography

SN - 0280-6495

IS - 2

ER -

ID: 9832528