Richard P Signell, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 90
Variational analysis of drifter positions and model outputs for the reconstruction of surface currents in the central Adriatic during fall 2002 Variational analysis of drifter positions and model outputs for the reconstruction of surface currents in the central Adriatic during fall 2002
In this paper we present an application of a variational method for the reconstruction of the velocity field in a coastal flow in the central Adriatic Sea, using in situ data from surface drifters and outputs from the ROMS circulation model. The variational approach, previously developed and tested for mesoscale open ocean flows, has been improved and adapted to account for...
Authors
V. Taillandier, A. Griffa, P.-M. Poulain, R. Signell, J. Chiggiato, S. Carniel
Development of a three-dimensional, regional, coupled wave, current, and sediment-transport model Development of a three-dimensional, regional, coupled wave, current, and sediment-transport model
We are developing a three-dimensional numerical model that implements algorithms for sediment transport and evolution of bottom morphology in the coastal-circulation model Regional Ocean Modeling System (ROMS v3.0), and provides a two-way link between ROMS and the wave model Simulating Waves in the Nearshore (SWAN) via the Model-Coupling Toolkit. The coupled model is applicable for...
Authors
J.C. Warner, C. R. Sherwood, R. P. Signell, C. K. Harris, H.G. Arango
Collaboration tools and techniques for large model datasets Collaboration tools and techniques for large model datasets
In MREA and many other marine applications, it is common to have multiple models running with different grids, run by different institutions. Techniques and tools are described for low-bandwidth delivery of data from large multidimensional datasets, such as those from meteorological and oceanographic models, directly into generic analysis and visualization tools. Output is stored using...
Authors
R. P. Signell, S. Carniel, J. Chiggiato, I. Janekovic, J. Pullen, C. R. Sherwood
Sediment dispersal in the northwestern Adriatic Sea Sediment dispersal in the northwestern Adriatic Sea
Sediment dispersal in the Adriatic Sea was evaluated using coupled three-dimensional circulation and sediment transport models, representing conditions from autumn 2002 through spring 2003. The calculations accounted for fluvial sources, resuspension by waves and currents, and suspended transport. Sediment fluxes peaked during southwestward Bora wind conditions that produced energetic...
Authors
C. K. Harris, C. R. Sherwood, R. P. Signell, A.J. Bever, J.C. Warner
Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System
Systematic improvements in algorithmic design of regional ocean circulation models have led to significant enhancement in simulation ability across a wide range of space/time scales and marine system types. As an example, we briefly review the Regional Ocean Modeling System, a member of a general class of three-dimensional, free-surface, terrain-following numerical models. Noteworthy
Authors
D.B. Haidvogel, H. Arango, W.P. Budgell, B.D. Cornuelle, E. Curchitser, Lorenzo E. Di, K. Fennel, W.R. Geyer, A.J. Hermann, L. Lanerolle, J. Levin, J.C. McWilliams, A.J. Miller, A.M. Moore, T.M. Powell, A.F. Shchepetkin, C. R. Sherwood, R. P. Signell, J.C. Warner, J. Wilkin
Surface drift prediction in the Adriatic Sea using hyper-ensemble statistics on atmospheric, ocean and wave models: Uncertainties and probability distribution areas Surface drift prediction in the Adriatic Sea using hyper-ensemble statistics on atmospheric, ocean and wave models: Uncertainties and probability distribution areas
Despite numerous and regular improvements in underlying models, surface drift prediction in the ocean remains a challenging task because of our yet limited understanding of all processes involved. Hence, deterministic approaches to the problem are often limited by empirical assumptions on underlying physics. Multi-model hyper-ensemble forecasts, which exploit the power of an optimal...
Authors
M. Rixen, E. Ferreira-Coelho, R. Signell
Science and Products
Filter Total Items: 90
Variational analysis of drifter positions and model outputs for the reconstruction of surface currents in the central Adriatic during fall 2002 Variational analysis of drifter positions and model outputs for the reconstruction of surface currents in the central Adriatic during fall 2002
In this paper we present an application of a variational method for the reconstruction of the velocity field in a coastal flow in the central Adriatic Sea, using in situ data from surface drifters and outputs from the ROMS circulation model. The variational approach, previously developed and tested for mesoscale open ocean flows, has been improved and adapted to account for...
Authors
V. Taillandier, A. Griffa, P.-M. Poulain, R. Signell, J. Chiggiato, S. Carniel
Development of a three-dimensional, regional, coupled wave, current, and sediment-transport model Development of a three-dimensional, regional, coupled wave, current, and sediment-transport model
We are developing a three-dimensional numerical model that implements algorithms for sediment transport and evolution of bottom morphology in the coastal-circulation model Regional Ocean Modeling System (ROMS v3.0), and provides a two-way link between ROMS and the wave model Simulating Waves in the Nearshore (SWAN) via the Model-Coupling Toolkit. The coupled model is applicable for...
Authors
J.C. Warner, C. R. Sherwood, R. P. Signell, C. K. Harris, H.G. Arango
Collaboration tools and techniques for large model datasets Collaboration tools and techniques for large model datasets
In MREA and many other marine applications, it is common to have multiple models running with different grids, run by different institutions. Techniques and tools are described for low-bandwidth delivery of data from large multidimensional datasets, such as those from meteorological and oceanographic models, directly into generic analysis and visualization tools. Output is stored using...
Authors
R. P. Signell, S. Carniel, J. Chiggiato, I. Janekovic, J. Pullen, C. R. Sherwood
Sediment dispersal in the northwestern Adriatic Sea Sediment dispersal in the northwestern Adriatic Sea
Sediment dispersal in the Adriatic Sea was evaluated using coupled three-dimensional circulation and sediment transport models, representing conditions from autumn 2002 through spring 2003. The calculations accounted for fluvial sources, resuspension by waves and currents, and suspended transport. Sediment fluxes peaked during southwestward Bora wind conditions that produced energetic...
Authors
C. K. Harris, C. R. Sherwood, R. P. Signell, A.J. Bever, J.C. Warner
Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System
Systematic improvements in algorithmic design of regional ocean circulation models have led to significant enhancement in simulation ability across a wide range of space/time scales and marine system types. As an example, we briefly review the Regional Ocean Modeling System, a member of a general class of three-dimensional, free-surface, terrain-following numerical models. Noteworthy
Authors
D.B. Haidvogel, H. Arango, W.P. Budgell, B.D. Cornuelle, E. Curchitser, Lorenzo E. Di, K. Fennel, W.R. Geyer, A.J. Hermann, L. Lanerolle, J. Levin, J.C. McWilliams, A.J. Miller, A.M. Moore, T.M. Powell, A.F. Shchepetkin, C. R. Sherwood, R. P. Signell, J.C. Warner, J. Wilkin
Surface drift prediction in the Adriatic Sea using hyper-ensemble statistics on atmospheric, ocean and wave models: Uncertainties and probability distribution areas Surface drift prediction in the Adriatic Sea using hyper-ensemble statistics on atmospheric, ocean and wave models: Uncertainties and probability distribution areas
Despite numerous and regular improvements in underlying models, surface drift prediction in the ocean remains a challenging task because of our yet limited understanding of all processes involved. Hence, deterministic approaches to the problem are often limited by empirical assumptions on underlying physics. Multi-model hyper-ensemble forecasts, which exploit the power of an optimal...
Authors
M. Rixen, E. Ferreira-Coelho, R. Signell