scholarly journals Waves, currents and sea level variations along the Letipea - Sillamäe coastal section of the southern Gulf of Finland

Oceanologia ◽  
2010 ◽  
Vol 52 (3) ◽  
pp. 391-416 ◽  
Author(s):  
Ülo Suursaar
Keyword(s):  
Sea Level ◽  
Gulf Of Finland ◽  
Sea Level Variations ◽  
And Sea Level

scholarly journals Correlation of wind waves and sea level variations on the coast of the seasonally ice-covered Gulf of Finland

2021 ◽  
Author(s):  
Milla M. Johansson ◽  
Jan-Victor Björkqvist ◽  
Jani Särkkä ◽  
Ulpu Leijala ◽  
Kimmo K. Kahma
Keyword(s):  
Probability Distribution ◽  
Sea Level ◽  
Wind Waves ◽  
Open Water ◽  
Wave Model ◽  
Water Levels ◽  
Gulf Of Finland ◽  
Wave Crest ◽  
Wave Heights ◽  
Sea Level Variations

Abstract. Both sea level variations and wind-generated waves affect coastal flooding risks. The correlation of these two phenomena complicates the estimates of their joint effect on the exceedance levels for the continuous water mass. In the northern Baltic Sea the seasonal occurrence of sea ice further influences the situation. We analysed this correlation with 28 years (1992–2019) of sea level data, and four years (2016–2019) of wave buoy measurements from a coastal location outside the City of Helsinki, Gulf of Finland. The wave observations were complemented by 28 years of simulations with a parametric wave model. The sea levels and waves at this location show strongest positive correlation (τ = 0.5) for southwesterly winds, while for northeasterly winds the correlation is negative (−0.3). The results were qualitatively similar when only the open water period was considered, or when the ice season was included either with zero wave heights or hypothetical no-ice wave heights. We calculated the observed probability distribution of the sum of the sea level and the highest individual wave crest from the simultaneous time series. Compared to this, a probability distribution of the sum calculated by assuming that the two variables are independent underestimates the total water levels corresponding to one hour per 100 years by 0.1–1.2 m. We tested three Archimedean copulas, of which the Gumbel copula best accounted for the mutual dependence between the two variables.

Coupled uranium isotope and sea-level variations in the oceans

2010 ◽  
Vol 74 (24) ◽  
pp. 7008-7020 ◽  
Author(s):  
Tezer M. Esat ◽  
Yusuke Yokoyama
Keyword(s):  
Sea Level ◽  
Uranium Isotope ◽  
Sea Level Variations ◽  
And Sea Level

Impact of sea level variations on hydrographic survey around Taiwan

2020 ◽  
Author(s):  
Wen-Hau Lan ◽  
Chung-Yen Kuo ◽  
Sheng-Fong Lin ◽  
Chien-Hsing Lu
Keyword(s):  
Sea Level ◽  
Tide Gauge ◽  
Temporal Changes ◽  
Altimeter Data ◽  
Ocean Tide ◽  
Ocean Tides ◽  
Sea Level Anomalies ◽  
Sea Level Variations ◽  
Ocean Tide Models ◽  
And Sea Level

<p>Taiwan is an island entirely surrounded by oceans, so living and economics are significantly influenced by the oceans. The electronic navigational chart system is extremely important for improving the safety of marine navigation and ocean depth is the essential data for electronic charts. Sea surface variations affected by ocean tide and sea level change are the main error sources in hydrographic surveys since the traditional tidal correction only using tide gauge stations, ignoring geographically non-uniform ocean tides and sea level anomalies around Taiwan. In this research, we evaluate two factors impacting the accuracy of hydrographic surveys, including ocean tides and seasonal sea level variations, using tide gauge records, satellite altimeter data and ocean tide models around Taiwan, and also analyze the accuracy of the ocean tide models around Taiwan. In addition, sea level anomalies are strongly influenced by climate changes in recent years. An understanding of seasonal sea level cycle and its spatial and temporal changes are importance because its temporal changes can result in the variation of the frequency and magnitude of coastal hazards. Therefore, we will apply the Ensemble Empirical Mode Decomposition to sea level data to assess the stability of the long-term seasonal sea level fluctuations with time.</p>

scholarly journals Terrestrial waters and sea level variations on interannual time scale

2011 ◽  
Vol 75 (1-2) ◽  
pp. 76-82 ◽  
Author(s):  
W. Llovel ◽  
M. Becker ◽  
A. Cazenave ◽  
S. Jevrejeva ◽  
R. Alkama ◽  
...  
Keyword(s):  
Sea Level ◽  
Time Scale ◽  
Interannual Time Scale ◽  
Sea Level Variations ◽  
And Sea Level

Non-linear response of the Golo River system, Corsica, France, to Late Quaternary climatic and sea level variations

2015 ◽  
Vol 121 ◽  
pp. 11-27 ◽  
Author(s):  
Andrea Forzoni ◽  
J.E.A. Storms ◽  
Tony Reimann ◽  
Julien Moreau ◽  
Gwenael Jouet
Keyword(s):  
Sea Level ◽  
Linear Response ◽  
Late Quaternary ◽  
River System ◽  
Non Linear ◽  
Sea Level Variations ◽  
And Sea Level

Vegetation history and sea level variations during the last 13,500 years inferred from a pollen record at Chilika Lake, Orissa, India

2007 ◽  
Vol 17 (4) ◽  
pp. 335-344 ◽  
Author(s):  
Asha Khandelwal ◽  
Manmohan Mohanti ◽  
Felipe García-Rodríguez ◽  
Burkhard W. Scharf
Keyword(s):  
Sea Level ◽  
Vegetation History ◽  
Pollen Record ◽  
Chilika Lake ◽  
Sea Level Variations ◽  
And Sea Level
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