scholarly journals Sedimentology, clay mineralogy and palaeosols of the Mid-Carnian Pluvial Episode in eastern Spain: insights into humidity and sea-level variations

2018 ◽  
Vol 175 (6) ◽  
pp. 993-1003 ◽  
Author(s):  
José F. Barrenechea ◽  
José López-Gómez ◽  
Raúl De La Horra
Keyword(s):  
Sea Level ◽  
Clay Mineralogy ◽  
Sea Level Variations ◽  
And Sea Level

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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