Using a regional ocean model to understand the structure and sampling variability of acoustic tomography arrivals in Fram Strait

2018 ◽  
Vol 144 (3) ◽  
pp. 1694-1694
Author(s):  
Florian Geyer ◽  
Hanne Sagen ◽  
Bruce Cornuelle
Keyword(s):  
Ocean Model ◽  
Acoustic Tomography ◽  
Fram Strait ◽  
Sampling Variability ◽  
Regional Ocean Model

scholarly journals Time series of temperature in Fram Strait determined from the 2008–2009 DAMOCLES acoustic tomography measurements and an ocean model

2016 ◽  
Vol 121 (7) ◽  
pp. 4601-4617 ◽  
Author(s):  
Hanne Sagen ◽  
Brian D. Dushaw ◽  
Emmanuel K. Skarsoulis ◽  
Dany Dumont ◽  
Matthew A. Dzieciuch ◽  
...  
Keyword(s):  
Time Series ◽  
Ocean Model ◽  
Acoustic Tomography ◽  
Fram Strait

scholarly journals Using a regional ocean model to understand the structure and variability of acoustic arrivals in Fram Strait

2020 ◽  
Vol 147 (2) ◽  
pp. 1042-1053
Author(s):  
Florian Geyer ◽  
Hanne Sagen ◽  
Bruce Cornuelle ◽  
Matthew R. Mazloff ◽  
Heriberto J. Vazquez
Keyword(s):  
Ocean Model ◽  
Fram Strait ◽  
Regional Ocean Model

A Comparative Study of Moored/Point and Acoustic Tomography/Integral Observations of Sound Speed in Fram Strait Using Objective Mapping Techniques

2016 ◽  
Vol 33 (10) ◽  
pp. 2079-2093 ◽  
Author(s):  
Brian D. Dushaw ◽  
Hanne Sagen
Keyword(s):  
Sound Speed ◽  
Heat Content ◽  
Ocean Model ◽  
The Arctic ◽  
Mooring Line ◽  
Acoustic Tomography ◽  
Fram Strait ◽  
Data Types ◽  
Parameterized Model ◽  
Ocean Environment

AbstractEstimation of the exchange of seawater of various properties between the Arctic and North Atlantic Oceans presents a challenging observational problem. The strong current systems within Fram Strait induce recirculations and a turbulent ocean environment dominated by mesoscale variations of 4–10-km scale. By employing a simple parameterized model for mesoscale variability within Fram Strait, the authors examine the ability of a line array of closely spaced moorings and an acoustic tomography line to measure the average sound speed, a proxy variable for ocean temperature or heat content. Objective maps are employed to quantify the uncertainties resulting from the different measurement approaches. While measurements by a mooring line and tomography result in similar uncertainties in estimations of range- and depth-averaged sound speed, the combination of the two approaches gives uncertainties 3 times smaller. The two measurements are sufficiently different as to be complementary; one measurement provides resolution for the aspects of the temperature section that the other misses. The parameterized model and its assumptions as to the magnitudes and scales of variability were tested by application to a hydrographic section across Fram Strait measured in 2011. This study supports the deployment of the 2013–16 Arctic Ocean under Melting Ice (UNDER-ICE) network of tomographic transceivers spanning the ongoing moored array line across Fram Strait. Optimal estimation for this ocean environment may require combining disparate data types as constraints on a numerical ocean model using data assimilation.

Implementation and Validating of the Regional Ocean Model System (ROMS) for the Sunda Strait connecting the Java Sea to the Indian Ocean

2021 ◽  
Author(s):  
Subekti Mujiasih ◽  
Jean-Marie Beckers ◽  
Alexander Barth
Keyword(s):  
Time Series ◽  
Indian Ocean ◽  
Vertical Profile ◽  
Ocean Model ◽  
Model System ◽  
Satellite Sst ◽  
Regional Ocean Model System ◽  
Regional Ocean Model ◽  
The Indian Ocean ◽  
Java Sea

<p>Regional Ocean Model System (ROMS) has been simulated for the Sunda Strait, the Java Sea, and the Indian Ocean. The simulation was undertaken for thirteen months of data period (August 2013 – August 2014). However, we only used four months period for validation, namely September – December 2013. The input data involved the HYbrid Coordinate Ocean Model (HYCOM) ocean model output by considering atmospheric forcing from the European Centre for Medium-Range Weather Forecasts (ECMWF), without and with tides forcing from TPXO and rivers. The output included vertical profile temperature and salinity, sea surface temperature (SST), seas surface height (SSH), zonal (u), and meridional (v) velocity. We compared the model SST to satellite SST in time series, SSH to tides gauges data in time series, the model u and v component velocity to High Frequency (HF) radial velocity. The vertical profile temperature and salinity were compared to Argo float data and XBT. Besides, we validated the amplitude and phase of the ROMS seas surface height to amplitude and phase of the tides-gauges, including four constituents (M2, S2, K1, O1).</p>

Application of HY-2 Satellite SST Data in 4D Variational Assimilation Ocean Forecast Model

2017 ◽  
Vol 8 (2) ◽  
pp. 15-26
Author(s):  
Zhenchang Zhang ◽  
Libin Gao ◽  
Minquan Guo ◽  
Riqing Chen
Keyword(s):  
Time Window ◽  
Forecast Model ◽  
Ocean Model ◽  
Satellite Sst ◽  
Regional Ocean Model System ◽  
Model Research ◽  
Numerical Ocean Model ◽  
Regional Ocean Model ◽  
Taiwan Straits ◽  
Marine Environmental

The 4D variational (4DVAR) assimilation numerical ocean model research is proposed. This model for Taiwan Straits (TWS) is based on Regional Ocean Model System (ROMS). The background of the 4DVAR method is introduced and the development process of assimilation system is presented. In the present research, the model assimilated with Sea Surface Temperature (SST) data of HY-2 satellite (Qi, 2012; Xu, 2013) which is the first marine environmental monitoring satellite of China. In this paper, the model processes from Feb. 1 to Feb. 7, 2014 with one-day assimilation time window and root mean square error (RMSE) reduces averagely by 14.7%.

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