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Full-Text Articles in Life Sciences
Spatial And Temporal Variability Of PCo2, Carbon Fluxes, And Saturation State On The West Florida Shelf, L. L. Robbins, Kendra L. Daly, L. Barbero, R. Wanninkhof, R. He, H. Zong, J. T. Lisle, W. J. Cai, C. G. Smith
Spatial And Temporal Variability Of PCo2, Carbon Fluxes, And Saturation State On The West Florida Shelf, L. L. Robbins, Kendra L. Daly, L. Barbero, R. Wanninkhof, R. He, H. Zong, J. T. Lisle, W. J. Cai, C. G. Smith
C-IMAGE Publications
The West Florida Shelf (WFS) is a source of uncertainty for the Gulf of Mexico carbon budget. Data from the synthesis of approximately 135,000 p CO2 values from 97 cruises from the WFS show that the shelf waters fluctuate between being a weak source to a weak sink of carbon. Overall, the shelf acts as a weak source of CO2 at 0.32 ± 1.5 mol m−2 yr−1. Subregions, however, reveal slightly different trends, where surface waters associated with 40–200‐m isobath in the northern and southern WFS are generally weak sinks all year, except for summer …
Spatial And Temporal Variability Of PCo2, Carbon Fluxes, And Saturation State On The West Florida Shelf, Lisa L. Robbins, Kendra L. Daly, L. Barbero, R. Wanninkhof, R. He, H. Zong, J. T. Lisle, W. J. Cai, C. G. Smith
Spatial And Temporal Variability Of PCo2, Carbon Fluxes, And Saturation State On The West Florida Shelf, Lisa L. Robbins, Kendra L. Daly, L. Barbero, R. Wanninkhof, R. He, H. Zong, J. T. Lisle, W. J. Cai, C. G. Smith
Marine Science Faculty Publications
The West Florida Shelf (WFS) is a source of uncertainty for the Gulf of Mexico carbon budget. Data from the synthesis of approximately 135,000 pCO2 values from 97 cruises from the WFS show that the shelf waters fluctuate between being a weak source to a weak sink of carbon. Overall, the shelf acts as a weak source of CO2 at 0.32 ± 1.5 mol m−2 yr−1. Subregions, however, reveal slightly different trends, where surface waters associated with 40–200‐m isobath in the northern and southern WFS are generally weak sinks all year, except for summer …
Numerical Modeling Of The Interactions Of Oil, Marine Snow, And Riverine Sediments In The Ocean, Anusha L. Dissanayake, Adrian B. Burd, Kendra L. Daly, Simone Francis, Uta Passow
Numerical Modeling Of The Interactions Of Oil, Marine Snow, And Riverine Sediments In The Ocean, Anusha L. Dissanayake, Adrian B. Burd, Kendra L. Daly, Simone Francis, Uta Passow
Marine Science Faculty Publications
Natural or spilled oil in the ocean can interact with marine snow and sediment from riverine sources and form Marine Oil Snow (MOS) aggregates including aggregates consisting of phytoplankton, detritus, and feces. Such aggregates have a fractal structure and can transport oil from the surface layers to greater depths in the ocean, eventually settling on the seafloor. In recent studies of the Deepwater Horizon and IXTOC‐1 oil spills in the Gulf of Mexico, this process was identified as one of the main mechanisms for transporting oil vertically in the water column. We have adapted a stochastic, one‐dimensional numerical model that …
Producing Distribution Maps For A Spatially-Explicit Ecosystem Model Using Large Monitoring And Environmental Databases And A Combination Of Interpolation And Extrapolation, Arnaud Grüss, Michael D. Drexler, Cameron H. Ainsworth, Elizabeth A. Babcock, Joseph H. Tarnecki, Matthew S. Love
Producing Distribution Maps For A Spatially-Explicit Ecosystem Model Using Large Monitoring And Environmental Databases And A Combination Of Interpolation And Extrapolation, Arnaud Grüss, Michael D. Drexler, Cameron H. Ainsworth, Elizabeth A. Babcock, Joseph H. Tarnecki, Matthew S. Love
Marine Science Faculty Publications
To be able to simulate spatial patterns of predator-prey interactions, many spatially-explicit ecosystem modeling platforms, including Atlantis, need to be provided with distribution maps defining the annual or seasonal spatial distributions of functional groups and life stages. We developed a methodology combining extrapolation and interpolation of the predictions made by statistical habitat models to produce distribution maps for the fish and invertebrates represented in the Atlantis model of the Gulf of Mexico (GOM) Large Marine Ecosystem (LME) (“Atlantis-GOM”). This methodology consists of: (1) compiling a large monitoring database, gathering all the fisheries-independent and fisheries-dependent data collected in the northern (U.S.) …
Influence Of River-Induced Fronts On Hydrocarbon Transport: A Multiplatform Observational Study, Yannis Androulidakis, Vassiliki Kourafalou, Tamay Özgökmen, Oscar Garcia-Pineda, Björn Lund, Matthieu Le Hénaff, Chuanmin Hu, Brian K. Haus, Guillaume Novelli, Cedric Guigand, Heesook Kang, Lars Hole, Jochen Horstmann
Influence Of River-Induced Fronts On Hydrocarbon Transport: A Multiplatform Observational Study, Yannis Androulidakis, Vassiliki Kourafalou, Tamay Özgökmen, Oscar Garcia-Pineda, Björn Lund, Matthieu Le Hénaff, Chuanmin Hu, Brian K. Haus, Guillaume Novelli, Cedric Guigand, Heesook Kang, Lars Hole, Jochen Horstmann
Marine Science Faculty Publications
The Taylor Energy Site is located in the vicinity of the Mississippi Delta region over the Northern Gulf of Mexico (NGoM). Surface oil patches have been persistently observed within this site since 2004, when an oil rig was destroyed by Hurricane Ivan. A multiplatform observational experiment was conducted in April 2017 to investigate, for the first time, the main hydrocarbon pathways from the Taylor Energy Site toward the NGoM continental shelves, and the Gulf interior, under the influence of local and regional physical processes. Results indicate that the Mississippi River (MR)-induced fronts over the Taylor Energy Site, in combination with …