Tides and Sea-level Variability at the Strait of Euripus

1997 ◽  
Vol 44 (1) ◽  
pp. 91-101 ◽  
Author(s):  
M.N. Tsimplis
Keyword(s):  
Sea Level ◽  
Sea Level Variability ◽  
And Sea Level

scholarly journals Tides and sea level variability decomposition in the Port of Santos Waterway

2019 ◽  
Vol 67 ◽  
Author(s):  
Carlos A.F. Schettini ◽  
Eliane C. Truccolo ◽  
José A.D. Mattos ◽  
Daniel C.D.A. Benevides
Keyword(s):  
Sea Level ◽  
Sea Level Variability ◽  
And Sea Level

Severe Weather Events and Sea Level Variability Over the Mediterranean Sea: The WaveForUs Operational Platform

2016 ◽  
pp. 63-68
Author(s):  
Y. Krestenitis ◽  
I. Pytharoulis ◽  
Theodore S. Karacostas ◽  
Y. Androulidakis ◽  
C. Makris ◽  
...  
Keyword(s):  
Mediterranean Sea ◽  
Sea Level ◽  
Severe Weather ◽  
Sea Level Variability ◽  
Weather Events ◽  
The Mediterranean ◽  
And Sea Level

scholarly journals Deep learning of dynamic sea-level variability to investigate the relationship with the floods in Gothenburg

2021 ◽  
Author(s):  
Omid Memarian Sorkhabi
Keyword(s):  
Deep Learning ◽  
Wind Speed ◽  
Sea Level Rise ◽  
Sea Level ◽  
Sea Surface ◽  
Sea Level Variability ◽  
Annual Increase ◽  
The Relationship ◽  
Dynamic Sea Level ◽  
And Sea Level

Abstract It is important to study the relationship between floods and sea-level rise due to climate change. In this research, dynamic sea-level variability with deep learning has been investigated. In this research sea surface temperature (SST) from MODIS, wind speed, precipitation and sea-level rise from satellite altimetry investigated for dynamic sea-level variability. An annual increase of 0.1 ° C SST is observed around the Gutenberg coast. Also in the middle of the North Sea, an annual increase of about 0.2 ° C is evident. The annual sea surface height (SSH) trend is 3 mm on the Gothenburg coast. We have a strong positive spatial correlation of SST and SSH near the Gothenburg coast. In the next step dynamic sea-level variability is predicted with long short time memory. Root mean square error of wind speed, precipitation, and mean sea-level forecasts are 0.84 m/s, 48 mm and 2.4 mm. The annual trends resulting from 5-year periods, show a significant increase from 28 mm to 46 mm per year in the last 5 year periods. The rate of increase has doubled. The wavelet can be useful for detecting dynamic sea-level variability.

scholarly journals Tides and sea‐level variability in the south‐west Pacific from TOPEX/Poseidon

2004 ◽  
Vol 38 (4) ◽  
pp. 649-669 ◽  
Author(s):  
M. G. G. Foreman ◽  
R. G. Bell ◽  
J. Y. Cherniawsky ◽  
B. Beckley
Keyword(s):  
Sea Level ◽  
The South ◽  
Sea Level Variability ◽  
West Pacific ◽  
South West ◽  
And Sea Level

scholarly journals An evaluation of subsidence rates and sea-level variability in the northern Gulf of Mexico

2011 ◽  
Vol 38 (21) ◽  
pp. n/a-n/a ◽  
Author(s):  
Alexander S. Kolker ◽  
Mead A. Allison ◽  
Sultan Hameed
Keyword(s):  
Gulf Of Mexico ◽  
Sea Level ◽  
Sea Level Variability ◽  
Northern Gulf Of Mexico ◽  
And Sea Level

Resonance and sea level variability in Chesapeake Bay

2008 ◽  
Vol 28 (18) ◽  
pp. 2565-2573 ◽  
Author(s):  
Liejun Zhong ◽  
Ming Li ◽  
M.G.G. Foreman
Keyword(s):  
Chesapeake Bay ◽  
Sea Level ◽  
Sea Level Variability ◽  
And Sea Level

On Sea Level Variability and Trends in United States Coastal Waters and Relationships with Climate Factors

2015 ◽  
Vol 07 (01n02) ◽  
pp. 1550005 ◽  
Author(s):  
Leonard J. Pietrafesa ◽  
Shaowu Bao ◽  
Tingzhuang Yan ◽  
Michael Slattery ◽  
Paul T. Gayes
Keyword(s):  
United States ◽  
Sea Level Rise ◽  
Sea Level ◽  
Gulf Stream ◽  
The United States ◽  
The Arctic ◽  
Climate Factors ◽  
Sea Level Variability ◽  
Mean Sea Level ◽  
And Sea Level

Significant portions of the United States (U.S.) property, commerce and ecosystem assets are located at or near the coast, making them vulnerable to sea level variability and change, especially relative rises. Although global mean sea level (MSL) and sea level rise (SLR) are fundamental considerations, regional mean sea level (RSL) variability along the boundaries of U.S. along the two ocean basins are critical, particularly if the amplitudes of seasonal to annual to inter-annual variability is high. Of interest is that the conventional wisdom of the U.S. agencies, the National Aeronautics and Space Administration (NASA) and the National Oceanic and Atmospheric Administration (NOAA) which both contend that the sources of sea level rise are related principally to heat absorption and release by the ocean(s) to the atmosphere and vice versa, and by Polar glacier melting and freshwater input into the ocean(s). While these phenomena are of great importance to SLR and sea level variability (SLV), we assess a suite of climate factors and the Gulf Stream, for evidence of correlations and thus possible influences; though causality is beyond the scope of this study. In this study, climate factors related to oceanic and atmospheric heat purveyors and reservoirs are analyzed and assessed for possible correlations with sea level variability and overall trends on actionable scales (localized as opposed to global scale). The results confirm that oceanic and atmospheric temperature variability and the disposition of heat accumulation or the lack thereof, are important players in sea level variability and rise, but also that the Atlantic Multi-Decadal Oscillation, the El Niño-Southern Oscillation, the Pacific Decadal Oscillation, the Arctic Oscillation, the Quasi-Biennial Oscillation, the North Atlantic Oscillation, Solar Irradiance, the Western Boundary Current-Gulf Stream, and other climate factors, can have strong correlative and perhaps even causal, modulating effects on the monthly to seasonal to annual to inter-annual to decadal to multi-decadal sea level variability at the community level.

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