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Published on: September 5, 2018
Simulation of diurnal variability in vertical density structure using a coupled model.
B Yadidya1, A D Rao2, Sachiko Mohanty3
1Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, 110016, India. yadidyabadarvada@gmail.com.
This study couples ocean models to simulate diurnal density changes in the Bay of Bengal and Andaman Sea. Results show accurate predictions, vital for naval operations.
Area of Science:
- Oceanography
- Physical Oceanography
- Ocean Acoustic Propagation
Background:
- Diurnal variations in ocean physical properties are significant in the surface mixed layer and pycnocline.
- Accurate ocean density profiles are crucial for understanding acoustic fields and naval operations.
Purpose of the Study:
- To couple the Price-Weller-Pinkel model and an internal wave model to simulate diurnal density variability.
- To validate the coupled model's simulations against in-situ observations in the Bay of Bengal and Andaman Sea.
- To assess the model's capability for simulating spatial variability and initializing simulations with 3D model outputs.
Main Methods:
- Coupling the Price-Weller-Pinkel model (surface mixed layer modification) with an internal wave model (Garrett-Munk spectra).
- Simulating hourly density variations using the coupled model at RAMA buoy and BD12.
- Validating model simulations with in-situ observational data from December 2013 to November 2014.
- Testing an integrated model approach using 3D model outputs for initialization.
Main Results:
- The coupled model successfully simulated diurnal variations in temperature, salinity, and density profiles.
- Simulations showed promising accuracy when validated against observational data.
- The model demonstrated the ability to simulate spatial variability in diurnal density changes.
- The integrated model approach proved effective for initializing simulations.
Conclusions:
- The coupled ocean model accurately captures diurnal density variability in the study regions.
- The model's ability to simulate spatial variability enhances its utility.
- Validated simulations provide a foundation for predicting acoustic fields and propagation losses for naval applications.
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