physics-based two-dimensional (2-d) device simulator silvaco tcad Search Results


99
Yokogawa Electric csu-w1
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COMSOL Inc physics-based pseudo-two-dimensional (p2d) electrochemical model
Physics Based Pseudo Two Dimensional (P2d) Electrochemical Model, supplied by COMSOL Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Forschungszentrum gmbh langevin dynamics simulations
Langevin Dynamics Simulations, supplied by Forschungszentrum gmbh, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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COMSOL Inc multi-physics simulation software
Multi Physics Simulation Software, supplied by COMSOL Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Melet Schloesing bathymetry data base srtm30 plus
a) A snapshot of baroclinic velocity (m/s) from a two-dimensional numerical simulation of internal tides forced by M2 (semi-diurnal) tidal velocities over rough topography, for parameters corresponding to the Brazil Basin (Nikurashin and Legg 2011); (b) observational time series of internal wave breaking over tall steep topography; here we see northward velocity (upper) and turbulent dissipation rate (lower) oscillate twice a day as the tide flows over Kaena Ridge, Hawaii (Klymak et al. 2008) (c) global energy flux from the M2 tide into internal tides (in log10W/m2) estimated using (top) the topography resolved in the <t>SRTM30</t> PLUS bathymetry data base and (bottom) a statistical representation of unresolved abyssal hill topography estimates (Melet et al. 2013b); (d) the vertical structure of dissipation from Brazil Basin observations (thick solid curve) and the Polzin 2009 (Eqn. 4) parameterization of nearfield internal tide dissipation (thin solid curve); (e) the impact of the Polzin parameterization in the GFDL CM2G coupled climate model: (top) The Indo-Pacific meridional overturning streamfunction (Sv)(averaged over the final 100 years of a 1000 year simulation) using the Polzin (2009) parameterization, (bottom) the differences in Indo-Pacific meridional overturning streamfunction (Sv) between the simulations with the Polzin (2009) parameterization and the St. Laurent et al. (2002) parameterization as implemented by Simmons et al. (2004b) (from Melet et al. (2013a)).
Bathymetry Data Base Srtm30 Plus, supplied by Melet Schloesing, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


a) A snapshot of baroclinic velocity (m/s) from a two-dimensional numerical simulation of internal tides forced by M2 (semi-diurnal) tidal velocities over rough topography, for parameters corresponding to the Brazil Basin (Nikurashin and Legg 2011); (b) observational time series of internal wave breaking over tall steep topography; here we see northward velocity (upper) and turbulent dissipation rate (lower) oscillate twice a day as the tide flows over Kaena Ridge, Hawaii (Klymak et al. 2008) (c) global energy flux from the M2 tide into internal tides (in log10W/m2) estimated using (top) the topography resolved in the SRTM30 PLUS bathymetry data base and (bottom) a statistical representation of unresolved abyssal hill topography estimates (Melet et al. 2013b); (d) the vertical structure of dissipation from Brazil Basin observations (thick solid curve) and the Polzin 2009 (Eqn. 4) parameterization of nearfield internal tide dissipation (thin solid curve); (e) the impact of the Polzin parameterization in the GFDL CM2G coupled climate model: (top) The Indo-Pacific meridional overturning streamfunction (Sv)(averaged over the final 100 years of a 1000 year simulation) using the Polzin (2009) parameterization, (bottom) the differences in Indo-Pacific meridional overturning streamfunction (Sv) between the simulations with the Polzin (2009) parameterization and the St. Laurent et al. (2002) parameterization as implemented by Simmons et al. (2004b) (from Melet et al. (2013a)).

Journal: Bulletin of the American Meteorological Society

Article Title: Climate Process Team on Internal Wave–Driven Ocean Mixing

doi: 10.1175/BAMS-D-16-0030.1

Figure Lengend Snippet: a) A snapshot of baroclinic velocity (m/s) from a two-dimensional numerical simulation of internal tides forced by M2 (semi-diurnal) tidal velocities over rough topography, for parameters corresponding to the Brazil Basin (Nikurashin and Legg 2011); (b) observational time series of internal wave breaking over tall steep topography; here we see northward velocity (upper) and turbulent dissipation rate (lower) oscillate twice a day as the tide flows over Kaena Ridge, Hawaii (Klymak et al. 2008) (c) global energy flux from the M2 tide into internal tides (in log10W/m2) estimated using (top) the topography resolved in the SRTM30 PLUS bathymetry data base and (bottom) a statistical representation of unresolved abyssal hill topography estimates (Melet et al. 2013b); (d) the vertical structure of dissipation from Brazil Basin observations (thick solid curve) and the Polzin 2009 (Eqn. 4) parameterization of nearfield internal tide dissipation (thin solid curve); (e) the impact of the Polzin parameterization in the GFDL CM2G coupled climate model: (top) The Indo-Pacific meridional overturning streamfunction (Sv)(averaged over the final 100 years of a 1000 year simulation) using the Polzin (2009) parameterization, (bottom) the differences in Indo-Pacific meridional overturning streamfunction (Sv) between the simulations with the Polzin (2009) parameterization and the St. Laurent et al. (2002) parameterization as implemented by Simmons et al. (2004b) (from Melet et al. (2013a)).

Article Snippet: Due to the sensitivity of the simulations to the different parameterizations, a major goal of the CPT has been to better understand and represent the physical processes that determine spatial and temporal variations in the parameters in equation (3) . fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Fig. 3 caption a7 a) A snapshot of baroclinic velocity (m/s) from a two-dimensional numerical simulation of internal tides forced by M 2 (semi-diurnal) tidal velocities over rough topography, for parameters corresponding to the Brazil Basin ( Nikurashin and Legg 2011 ); (b) observational time series of internal wave breaking over tall steep topography; here we see northward velocity (upper) and turbulent dissipation rate (lower) oscillate twice a day as the tide flows over Kaena Ridge, Hawaii ( Klymak et al. 2008 ) (c) global energy flux from the M 2 tide into internal tides (in log10 W/m 2 ) estimated using (top) the topography resolved in the SRTM30 PLUS bathymetry data base and (bottom) a statistical representation of unresolved abyssal hill topography estimates ( Melet et al. 2013b ); (d) the vertical structure of dissipation from Brazil Basin observations (thick solid curve) and the Polzin 2009 ( Eqn.

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