scholarly journals Dynamics of Internal Tides Over a Shallow Ridge Investigated With a High‐Resolution Downscaling Regional Ocean Model

2018 ◽  
Vol 45 (8) ◽  
pp. 3550-3558 ◽  
Author(s):  
Eiji Masunaga ◽  
Yusuke Uchiyama ◽  
Yota Suzue ◽  
Hidekatsu Yamazaki
Keyword(s):  
High Resolution ◽  
Ocean Model ◽  
Internal Tides ◽  
Regional Ocean Model

A high resolution three-dimensional model of ocean tides for the pan-arctic region

2021 ◽  
Author(s):  
Alfatih Ali ◽  
Malte Muller ◽  
Laurent Bertino ◽  
Arne Melson
Keyword(s):  
High Resolution ◽  
Ocean Circulation ◽  
Three Dimensional ◽  
Circulation Model ◽  
Arctic Region ◽  
Ocean Model ◽  
Model System ◽  
Internal Tides ◽  
Ocean Tides ◽  
Three Dimensional Model

<p>As grid resolutions of operational ocean models are becoming finer and approach closer to the coast, the importance of inclusion of tidal forcing in high resolution operational ocean forecasting systems has increasingly been recognized. In the current work,  we present a 3D general ocean circulation model of ocean tides in the pan-Arctic region at ~3km horizontal grid resolution and 50 hybrid layers in the vertical, thus representing both barotropic and internal tides. The model system is based on the Hybrid Coordinate Ocean Model (HYCOM)  coupled with the Los Alamos Sea Ice Model (CICE). The results showed good agreement when compared with observations from tide gauges and a data-assimilative global barotropic tidal model. Among other results, the evaluation includes results for tidal amplitude and phase of the most energetic constituents (M2, S2, K1 and Q1).   The model system is currently operational and its development is supported by the Copernicus Marine Environment Monitoring Service (CMEMS) where its forecasts are disseminated.</p>

scholarly journals Matchup Characteristics of Sea Surface Salinity Using a High-Resolution Ocean Model

2021 ◽  
Vol 13 (15) ◽  
pp. 2995
Author(s):  
Frederick M. Bingham ◽  
Severine Fournier ◽  
Susannah Brodnitz ◽  
Karly Ulfsax ◽  
Hong Zhang
Keyword(s):  
High Resolution ◽  
Time Window ◽  
Single Point ◽  
Ocean Model ◽  
Sea Surface ◽  
Sea Surface Salinity ◽  
Surface Salinity ◽  
Argo Floats ◽  
Statistical Measures ◽  
Salinity Difference

Sea surface salinity (SSS) satellite measurements are validated using in situ observations usually made by surfacing Argo floats. Validation statistics are computed using matched values of SSS from satellites and floats. This study explores how the matchup process is done using a high-resolution numerical ocean model, the MITgcm. One year of model output is sampled as if the Aquarius and Soil Moisture Active Passive (SMAP) satellites flew over it and Argo floats popped up into it. Statistical measures of mismatch between satellite and float are computed, RMS difference (RMSD) and bias. The bias is small, less than 0.002 in absolute value, but negative with float values being greater than satellites. RMSD is computed using an “all salinity difference” method that averages level 2 satellite observations within a given time and space window for comparison with Argo floats. RMSD values range from 0.08 to 0.18 depending on the space–time window and the satellite. This range gives an estimate of the representation error inherent in comparing single point Argo floats to area-average satellite values. The study has implications for future SSS satellite missions and the need to specify how errors are computed to gauge the total accuracy of retrieved SSS values.

A numerical study on the role of atmospheric forcing on mixed layer depth variability in the Bay of Bengal using a regional ocean model

2021 ◽  
Author(s):  
Sumit Dandapat ◽  
Arun Chakraborty ◽  
Jayanarayanan Kuttippurath ◽  
Chirantan Bhagawati ◽  
Radharani Sen
Keyword(s):  
Mixed Layer ◽  
Bay Of Bengal ◽  
Numerical Study ◽  
Mixed Layer Depth ◽  
Ocean Model ◽  
Atmospheric Forcing ◽  
Layer Depth ◽  
Regional Ocean Model

Mesoscale eddies in the Black Sea: Characteristics and kinematic properties in a high-resolution ocean model

2021 ◽  
pp. 103613
Author(s):  
Ehsan Sadighrad ◽  
Bettina A. Fach ◽  
Sinan S. Arkin ◽  
Baris Salihoğlu ◽  
Sinan Hüsrevoğlu
Keyword(s):  
High Resolution ◽  
Black Sea ◽  
Mesoscale Eddies ◽  
Ocean Model ◽  
The Black Sea ◽  
Kinematic Properties

scholarly journals Tracking the Paleocene-Eocene Thermal Maximum in the North Atlantic: A Shelf-to-Basin Analysis With a Regional Ocean Model

2018 ◽  
Vol 33 (12) ◽  
pp. 1324-1338 ◽  
Author(s):  
Kalev G. Hantsoo ◽  
Lee R. Kump ◽  
Bernd J. Haupt ◽  
Timothy J. Bralower
Keyword(s):  
North Atlantic ◽  
Ocean Model ◽  
Basin Analysis ◽  
The North ◽  
Thermal Maximum ◽  
Regional Ocean Model ◽  
The North Atlantic
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