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

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 GOM20: A Stable Geodetic Reference Frame for Subsidence, Faulting, and Sea-Level Rise Studies along the Coast of the Gulf of Mexico

2020 ◽  
Vol 12 (3) ◽  
pp. 350
Author(s):  
Guoquan Wang ◽  
Xin Zhou ◽  
Kuan Wang ◽  
Xue Ke ◽  
Yongwei Zhang ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Sea Level Rise ◽  
Sea Level ◽  
Reference Frame ◽  
Time Window ◽  
Tide Gauge ◽  
Vertical Direction ◽  
Geodetic Reference Frame ◽  
Regional Reference ◽  
And Sea Level

We have established a stable regional geodetic reference frame using long-history (13.5 years on average) observations from 55 continuously operated Global Navigation Satellite System (GNSS) stations adjacent to the Gulf of Mexico (GOM). The regional reference frame, designated as GOM20, is aligned in origin and scale with the International GNSS Reference Frame 2014 (IGS14). The primary product from this study is the seven-parameters for transforming the Earth-Centered-Earth-Fixed (ECEF) Cartesian coordinates from IGS14 to GOM20. The frame stability of GOM20 is approximately 0.3 mm/year in the horizontal directions and 0.5 mm/year in the vertical direction. The regional reference frame can be confidently used for the time window from the 1990s to 2030 without causing positional errors larger than the accuracy of 24-h static GNSS measurements. Applications of GOM20 in delineating rapid urban subsidence, coastal subsidence and faulting, and sea-level rise are demonstrated in this article. According to this study, subsidence faster than 2 cm/year is ongoing in several major cities in central Mexico, with the most rapid subsidence reaching to 27 cm/year in Mexico City; a large portion of the Texas and Louisiana coasts are subsiding at 3 to 6.5 mm/year; the average sea-level-rise rate (with respect to GOM20) along the Gulf coast is 2.6 mm/year with a 95% confidence interval of ±1 mm/year during the past five decades. GOM20 provides a consistent platform to integrate ground deformational observations from different remote sensing techniques (e.g., GPS, InSAR, LiDAR, UAV-Photogrammetry) and ground surveys (e.g., tide gauge, leveling surveying) into a unified geodetic reference frame and enables multidisciplinary and cross-disciplinary research.

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.

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