Temperature and Salinity Variability in the Mississippi Bight

2004 ◽  
Vol 38 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Sergey Vinogradov ◽  
Nadya Vinogradova ◽  
Vladimir Kamenkovich ◽  
Dmitri Nechaev
Keyword(s):  
Time Series ◽  
Gulf Of Mexico ◽  
Spatial Variability ◽  
Deep Water ◽  
Seasonal Changes ◽  
Barrier Islands ◽  
Profile Data ◽  
Coastal System ◽  
Salinity Variability ◽  
Temperature Depth

Conductivity-temperature-depth (CTD) profile data from five surveys performed by the R/V Pelican in the Mississippi Bight in February, May, and November 1999; and January-February and August-September 2000 have been analyzed. The data were collected within the framework of the Northern Gulf of Mexico Littoral Initiative (NGLI). The analysis of the T-S diagrams demonstrated substantial seasonal changes. Some estimates of the spatial variability at different scales were suggested. The analysis of the T-S data obtained at time-series stations revealed some interesting effects such as along-shelf intrusion of deep water into the coastal system and fine vertical T-S structures in shallow passes between the barrier islands.

scholarly journals Day-night activity rhythm of the cold seep shrimp Alvinocaris stactophila (Caridea: Alvinocarididae) from the Gulf of Mexico

2007 ◽  
Vol 87 (5) ◽  
pp. 1175-1180 ◽  
Author(s):  
Jacopo Aguzzi ◽  
Eva Ramirez-Llodra ◽  
Guy Telesnicki ◽  
Mercedes Camps
Keyword(s):  
Time Series ◽  
Gulf Of Mexico ◽  
Deep Water ◽  
Activity Rhythm ◽  
Cold Seep ◽  
Waveform Analysis ◽  
Cold Seeps ◽  
Animal Activity ◽  
Dark Regime ◽  
Regulation Of Activity

The activity rhythm of the cold seep shrimp Alvinocaris stactophila from the Gulf of Mexico slope (650 m depth) was investigated in the laboratory in relation to an artificial 12 h light-dark regime. Animals were sampled with a submersible and transferred into individual aquaria where their activity was monitored for 5 d by taking digital video snapshots every 30 s. An observer analysed the footage by counting the number of times an animal crossed two perpendicular lines drawn on a PC screen per 30 min interval. Resulting time series were represented over consecutive days and the waveform analysis was used to precisely assess the phase (i.e. the peak timing) and its limits (i.e. onset and offset) in relation to light ON and OFF. The majority (73%) of animals showed a marked nocturnal pattern of activity with number of movements close to zero during the photophase. Waveform analysis showed that the behavioural transition from activity to inactivity after light ON occurred within approximately 1 h. Considering the general lack of knowledge on the regulation of activity rhythms of crustaceans from subtidal areas, the present data provide a new insight on the role played by light in the regulation of animal activity rhythm in deep-water environments such as those of the cold seeps in the Gulf of Mexico.

scholarly journals Identifying the sensitivity of GPS to non-tidal loadings at various time resolutions: examining vertical displacements from continental Eurasia

GPS Solutions ◽  
2021 ◽  
Vol 25 (3) ◽  
Author(s):  
Anna Klos ◽  
Henryk Dobslaw ◽  
Robert Dill ◽  
Janusz Bogusz
Keyword(s):  
Time Series ◽  
Seasonal Changes ◽  
System Modeling ◽  
Sea Level Changes ◽  
Observation Level ◽  
Earth System Modeling ◽  
Atmospheric Loading ◽  
Modeling Group ◽  
Vertical Displacements ◽  
Almost All

AbstractWe examine the sensitivity of the Global Positioning System (GPS) to non-tidal loading for a set of continental Eurasia permanent stations. We utilized daily vertical displacements available from the Nevada Geodetic Laboratory (NGL) at stations located at least 100 km away from the coast. Loading-induced predictions of displacements of earth’s crust are provided by the Earth-System-Modeling Group of the GFZ (ESMGFZ). We demonstrate that the hydrological loading, supported by barystatic sea-level changes to close the global mass budget (HYDL + SLEL), contributes to GPS displacements only in the seasonal band. Non-tidal atmospheric loading, supported by non-tidal oceanic loading (NTAL + NTOL), correlates positively with GPS displacements for almost all time resolutions, including non-seasonal changes from 2 days to 5 months, which are often considered as noise, intra-seasonal and seasonal changes with periods between 4 months and 1.4 years, and, also, inter-annual signals between 1.1 and 3.0 years. Correcting the GPS vertical displacements by NTAL leads to a reduction in the time series variances, evoking a whitening of the GPS stochastic character and a decrease in the standard deviation of noise. Both lead, on average, to an improvement in the uncertainty of the GPS vertical velocity by a factor of 2. To reduce its impact on the GPS displacement time series, we recommend that NTAL is applied at the observation level during the processing of GPS observations. HYDL might be corrected at the observation level or remain in the data and be applied at the stage of time series analysis.

scholarly journals Impact of the Deepwater Horizon oil spill on a deep-water coral community in the Gulf of Mexico

2012 ◽  
Vol 109 (50) ◽  
pp. 20303-20308 ◽  
Author(s):  
H. K. White ◽  
P.-Y. Hsing ◽  
W. Cho ◽  
T. M. Shank ◽  
E. E. Cordes ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Oil Spill ◽  
Deep Water ◽  
Deepwater Horizon ◽  
Coral Community ◽  
Deepwater Horizon Oil Spill ◽  
Water Coral

Thermal and visual time-series at a seafloor gas hydrate deposit on the Gulf of Mexico slope

2005 ◽  
Vol 233 (1-2) ◽  
pp. 45-59 ◽  
Author(s):  
I MACDONALD ◽  
L BENDER ◽  
M VARDARO ◽  
B BERNARD ◽  
J BROOKS
Keyword(s):  
Time Series ◽  
Gulf Of Mexico ◽  
Gas Hydrate ◽  
Hydrate Deposit

scholarly journals Nonlinear analysis of the occurrence of hurricanes in the Gulf of Mexico and the Caribbean Sea

2018 ◽  
Vol 25 (2) ◽  
pp. 291-300 ◽  
Author(s):  
Berenice Rojo-Garibaldi ◽  
David Alberto Salas-de-León ◽  
María Adela Monreal-Gómez ◽  
Norma Leticia Sánchez-Santillán ◽  
David Salas-Monreal
Keyword(s):  
Time Series ◽  
Gulf Of Mexico ◽  
Nonlinear Analysis ◽  
Chaotic Behavior ◽  
Caribbean Sea ◽  
Historical Record ◽  
Nonlinear Analyses ◽  
The North ◽  
The Caribbean ◽  
The Individual

Abstract. Hurricanes are complex systems that carry large amounts of energy. Their impact often produces natural disasters involving the loss of human lives and materials, such as infrastructure, valued at billions of US dollars. However, not everything about hurricanes is negative, as hurricanes are the main source of rainwater for the regions where they develop. This study shows a nonlinear analysis of the time series of the occurrence of hurricanes in the Gulf of Mexico and the Caribbean Sea obtained from 1749 to 2012. The construction of the hurricane time series was carried out based on the hurricane database of the North Atlantic basin hurricane database (HURDAT) and the published historical information. The hurricane time series provides a unique historical record on information about ocean–atmosphere interactions. The Lyapunov exponent indicated that the system presented chaotic dynamics, and the spectral analysis and nonlinear analyses of the time series of the hurricanes showed chaotic edge behavior. One possible explanation for this chaotic edge is the individual chaotic behavior of hurricanes, either by category or individually regardless of their category and their behavior on a regular basis.

scholarly journals Analysis Methods for Characterizing Salinity Variability from Multivariate Time Series Applied to the Apalachicola Bay Estuary

2012 ◽  
Vol 29 (4) ◽  
pp. 613-628 ◽  
Author(s):  
Steven L. Morey ◽  
Dmitry S. Dukhovskoy
Keyword(s):  
Time Series ◽  
Time Scales ◽  
River Discharge ◽  
River Flow ◽  
High Salinity ◽  
Multivariate Time Series ◽  
Salinity Range ◽  
Apalachicola Bay ◽  
Analysis Methods ◽  
Salinity Variability

Abstract Statistical analysis methods are developed to quantify the impacts of multiple forcing variables on the hydrographic variability within an estuary instrumented with an enduring observational system. The methods are applied to characterize the salinity variability within Apalachicola Bay, a shallow multiple-inlet estuary along the northeastern Gulf of Mexico coast. The 13-yr multivariate time series collected by the National Estuary Research Reserve at three locations within the bay are analyzed to determine how the estuary responds to variations in external forcing mechanisms, such as freshwater discharge, precipitation, tides, and local winds at multiple time scales. The analysis methods are used to characterize the estuarine variability under differing flow regimes of the Apalachicola River, a managed waterway, with particular focus on extreme events and scales of variability that are critical to local ecosystems. Multivariate statistical models are applied that describe the salinity response to winds from multiple directions, river flow, and precipitation at daily, weekly, and monthly time scales to understand the response of the estuary under different climate regimes. Results show that the salinity is particularly sensitive to river discharge and wind magnitude and direction, with local precipitation being largely unimportant. Applying statistical analyses with conditional sampling quantifies how the likelihoods of high-salinity and long-duration high-salinity events, conditions of critical importance to estuarine organisms, change given the state of the river flow. Intraday salinity range is shown to be negatively correlated with the salinity, and correlated with river discharge rate.

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