Joseph Long (Former Employee)
Science and Products
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Application of a hydrodynamic and sediment transport model for guidance of response efforts related to the Deepwater Horizon oil spill in the Northern Gulf of Mexico along the coast of Alabama and Florida
U.S. Geological Survey (USGS) scientists have provided a model-based assessment of transport and deposition of residual Deepwater Horizon oil along the shoreline within the northern Gulf of Mexico in the form of mixtures of sand and weathered oil, known as surface residual balls (SRBs). The results of this USGS research, in combination with results from other components of the overall study, will
Authors
Nathaniel G. Plant, Joseph W. Long, P. Soupy Dalyander, David M. Thompson, Ellen A. Raabe
Demography and movement patterns of leopard sharks (Triakis semifasciata) aggregating near the head of a submarine canyon along the open coast of southern California, USA
The demography, spatial distribution, and movement patterns of leopard sharks (Triakis semifasciata) aggregating near the head of a submarine canyon in La Jolla, California, USA, were investigated to resolve the causal explanations for this and similar shark aggregations. All sharks sampled from the aggregation site (n=140) were sexually mature and 97.1 % were female. Aerial photographs taken duri
Authors
D.C. Nosal, D.C. Cartamil, J.W. Long, M. Luhrmann, N.C. Wegner, J.B. Graham
Appendix D: Use of wave scenarios to assess potential submerged oil mat (SOM) formation along the coast of Florida and Alabama
During the Deepwater Horizon oil spill, oil in the surf zone mixed with sediment in the surf zone to form heavier-than-water sediment oil agglomerates of various size, ranging from small (cm-scale) pieces (surface residual balls, SRBs) to large mats (100-m scale, surface residue mats, SR mats). Once SR mats formed in the nearshore or in the intertidal zone, they may have become buried by sand movi
Authors
P. Soupy Dalyander, Joseph W. Long, Nathaniel G. Plant, David M. Thompson
Extended Kalman Filter framework for forecasting shoreline evolution
A shoreline change model incorporating both long- and short-term evolution is integrated into a data assimilation framework that uses sparse observations to generate an updated forecast of shoreline position and to estimate unobserved geophysical variables and model parameters. Application of the assimilation algorithm provides quantitative statistical estimates of combined model-data forecast unc
Authors
Joseph Long, Nathaniel G. Plant
Assimilating models and data to enhance predictions of shoreline evolution
A modeling system that considers both long- and short-term process-driven shoreline change is presented. The modeling system is integrated into a data assimilation framework that uses sparse observations of shoreline change to correct a model forecast and to determine unobserved model variables and free parameters. Application of the assimilation algorithm also provides quantitative statistical es
Authors
Joseph W. Long, Nathaniel G. Plant
Non-USGS Publications**
Long, J. W., and H. T. Özkan-Haller, 2009, Low-frequency characteristics of wave group–forced vortices, J. Geophys. Res., 114, C08004, doi:10.1029/2008JC004894.
Scott, C.P., Cox, D.T., Maddux, T.B., and Long, J.W., 2005, Large-scale laboratory observations of turbulence on a fixed barred beach: Measurement Science and Technology, v. 16, p. 1903, doi: 10.1088/0957-0233/16/10/004.
Long, J. W., and H. T. Özkan-Haller, 2005, Offshore controls on nearshore rip currents, J. Geophys. Res., 110, C12007, doi:10.1029/2005JC003018.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Filter Total Items: 13
Filter Total Items: 17
No Result Found
Filter Total Items: 41
Application of a hydrodynamic and sediment transport model for guidance of response efforts related to the Deepwater Horizon oil spill in the Northern Gulf of Mexico along the coast of Alabama and Florida
U.S. Geological Survey (USGS) scientists have provided a model-based assessment of transport and deposition of residual Deepwater Horizon oil along the shoreline within the northern Gulf of Mexico in the form of mixtures of sand and weathered oil, known as surface residual balls (SRBs). The results of this USGS research, in combination with results from other components of the overall study, will
Authors
Nathaniel G. Plant, Joseph W. Long, P. Soupy Dalyander, David M. Thompson, Ellen A. Raabe
Demography and movement patterns of leopard sharks (Triakis semifasciata) aggregating near the head of a submarine canyon along the open coast of southern California, USA
The demography, spatial distribution, and movement patterns of leopard sharks (Triakis semifasciata) aggregating near the head of a submarine canyon in La Jolla, California, USA, were investigated to resolve the causal explanations for this and similar shark aggregations. All sharks sampled from the aggregation site (n=140) were sexually mature and 97.1 % were female. Aerial photographs taken duri
Authors
D.C. Nosal, D.C. Cartamil, J.W. Long, M. Luhrmann, N.C. Wegner, J.B. Graham
Appendix D: Use of wave scenarios to assess potential submerged oil mat (SOM) formation along the coast of Florida and Alabama
During the Deepwater Horizon oil spill, oil in the surf zone mixed with sediment in the surf zone to form heavier-than-water sediment oil agglomerates of various size, ranging from small (cm-scale) pieces (surface residual balls, SRBs) to large mats (100-m scale, surface residue mats, SR mats). Once SR mats formed in the nearshore or in the intertidal zone, they may have become buried by sand movi
Authors
P. Soupy Dalyander, Joseph W. Long, Nathaniel G. Plant, David M. Thompson
Extended Kalman Filter framework for forecasting shoreline evolution
A shoreline change model incorporating both long- and short-term evolution is integrated into a data assimilation framework that uses sparse observations to generate an updated forecast of shoreline position and to estimate unobserved geophysical variables and model parameters. Application of the assimilation algorithm provides quantitative statistical estimates of combined model-data forecast unc
Authors
Joseph Long, Nathaniel G. Plant
Assimilating models and data to enhance predictions of shoreline evolution
A modeling system that considers both long- and short-term process-driven shoreline change is presented. The modeling system is integrated into a data assimilation framework that uses sparse observations of shoreline change to correct a model forecast and to determine unobserved model variables and free parameters. Application of the assimilation algorithm also provides quantitative statistical es
Authors
Joseph W. Long, Nathaniel G. Plant
Non-USGS Publications**
Long, J. W., and H. T. Özkan-Haller, 2009, Low-frequency characteristics of wave group–forced vortices, J. Geophys. Res., 114, C08004, doi:10.1029/2008JC004894.
Scott, C.P., Cox, D.T., Maddux, T.B., and Long, J.W., 2005, Large-scale laboratory observations of turbulence on a fixed barred beach: Measurement Science and Technology, v. 16, p. 1903, doi: 10.1088/0957-0233/16/10/004.
Long, J. W., and H. T. Özkan-Haller, 2005, Offshore controls on nearshore rip currents, J. Geophys. Res., 110, C12007, doi:10.1029/2005JC003018.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.