scholarly journals Modeling turbulent dispersion on the North Flank of Georges Bank using Lagrangian Particle Methods

2005 ◽  
Vol 25 (7-8) ◽  
pp. 875-900 ◽  
Author(s):  
Jeffrey A. Proehl ◽  
Daniel R. Lynch ◽  
Dennis J. McGillicuddy ◽  
James R. Ledwell
Keyword(s):  
Turbulent Dispersion ◽  
Particle Methods ◽  
Georges Bank ◽  
Lagrangian Particle ◽  
The North

scholarly journals Tracking a Coastal Wave Buoy, Lost from the Southern Coast of Jeju Island, Using Lagrangian Particle Modeling

2021 ◽  
Vol 9 (8) ◽  
pp. 795
Author(s):  
Seongbong Seo ◽  
Young-Gyu Park
Keyword(s):  
Japan Sea ◽  
Jeju Island ◽  
East China ◽  
Northwest Pacific ◽  
Southern Coast ◽  
Lagrangian Particle ◽  
The North ◽  
Particle Modeling ◽  
The Usa ◽  
Tracking Model

A coastal wave buoy was lost near Jeju Island, Korea, in late July 2014 and found at Cape Mendocino, USA, in April 2020. The buoy’s journey was simulated with a Lagrangian particle tracking model using surface ocean currents and wind data at 10 m above sea level. Experiments were conducted with windage values of 0, 2, and 4%. Particles were released along the southern coast of Jeju Island from 31 July to 8 August 2014. When the windage was 0 or 2%, most particles reached the northwest Pacific via the East/Japan Sea or East China Sea, respectively. With 4% windage, very few particles entered the North Pacific. Under 0% windage, particles accumulated in the Great Pacific Garbage Patch (GPGP) and never reached the USA. Under 2%, particles were able to escape the GPGP and started to reach the USA coast 2 years and 7 months after the release. The trajectory of the buoy was deduced from the trajectories of particles with a similar travel time. The buoy likely moved to East China and then to the subtropical convergence zone, where it must have circulated for approximately 2 years before being pushed toward Cape Mendocino by the intensified winter westerlies.

Review and Validation of MicroSpray, a Lagrangian Particle Model of Turbulent Dispersion

2013 ◽  
pp. 311-328 ◽  
Author(s):  
G. Tinarelli ◽  
L. Mortarini ◽  
S. Trini Castelli ◽  
G. Carlino ◽  
J. Moussafir ◽  
...  
Keyword(s):  
Turbulent Dispersion ◽  
Particle Model ◽  
Lagrangian Particle ◽  
Lagrangian Particle Model

scholarly journals Interaction between the Tidal and Seasonal Variability of the Gulf of Maine and Scotian Shelf Region

2016 ◽  
Vol 46 (11) ◽  
pp. 3279-3298 ◽  
Author(s):  
Anna Katavouta ◽  
Keith R. Thompson ◽  
Youyu Lu ◽  
John W. Loder
Keyword(s):  
Gulf Of Maine ◽  
Circulation Model ◽  
Surface Current ◽  
Maximum Speed ◽  
Georges Bank ◽  
Scotian Shelf ◽  
Linear Superposition ◽  
Dynamical Interaction ◽  
The North ◽  
Shelf Region

AbstractAs part of a broader study of ocean downscaling, the seasonal and tidal variability of the Gulf of Maine and Scotian shelf, and their dynamical interaction, are investigated using a high-resolution (1/36°) circulation model. The model’s seasonal hydrography and circulation, and its tidal elevations and currents, are compared with an observed seasonal climatology, local observations, and results from previous studies. Numerical experiments with and without density stratification demonstrate the influence of stratification on the tides. The model is then used to interpret the physical mechanisms responsible for the largest seasonal variations in the M2 surface current that occur over, and to the north of, Georges Bank. The model generates a striation pattern of alternating highs and lows, aligned with Georges Bank, in the M2 surface summer maximum speed in the Gulf of Maine. The striations are consistent with observations by a high-frequency coastal radar system and can be explained in terms of a linear superposition of the barotropic tide and the first-mode baroclinic tide, generated on the north side of Georges Bank, as it propagates into the Gulf of Maine. The seasonal changes in tidal currents in the well-mixed area on Georges Bank are due to a combination of increased sea level gradients, and lower vertical viscosity, in summer.

scholarly journals A comparative study of Calanus finmarchicus mortality patterns at five localities in the North Atlantic

2004 ◽  
Vol 61 (4) ◽  
pp. 687-697 ◽  
Author(s):  
M.D Ohman ◽  
K Eiane ◽  
E.G Durbin ◽  
J.A Runge ◽  
H.-J Hirche
Keyword(s):  
North Atlantic ◽  
Calanus Finmarchicus ◽  
Estimation Methods ◽  
Late Winter ◽  
Zooplankton Abundance ◽  
Biological Interactions ◽  
Georges Bank ◽  
Density Dependent ◽  
The North ◽  
The North Atlantic

Abstract We compare the patterns of stage-specific mortality of Calanus finmarchicus at five localities across the North Atlantic Ocean during the spring–summer period of active population growth: Georges Bank, a continental shelf locality in the NW Atlantic, based on 30 broadscale survey cruises in the US GLOBEC program; the northern North Sea, studied during the historic FLEX program with sampling four times daily for 73 days; Ocean Station M in the central Norwegian Sea, based on an 80-day daily time-series; and Lurefjorden (sampled weekly in late winter–early summer) and Sørfjorden (sampled monthly), two fjords in southwestern Norway characterized by markedly different guilds of predators. The mortality estimation methods included Wood's Population Surface Method, the Vertical Life Table (VLT) method, and a modified VLT, according to the study site and copepod recruitment schedules. Contrary to assumptions implicit in many simulation models and indirect methods for estimating zooplankton mortality, both rates and stage-specific patterns of mortality of C. finmarchicus vary appreciably across the North Atlantic. Characteristics of local environments, including the predator field in particular, appear to strongly influence mortality schedules in different regions. In at least two sites (Georges Bank and Ocean Station M), mortality rates of early stages of C. finmarchicus are density-dependent. We attribute this density-dependent mortality to egg cannibalism, which introduces non-linear population responses to changing environmental conditions. Region-specific biological interactions can substantially modify the effects of physical climate variability and render simple linear relationships between climate and zooplankton abundance unlikely.

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