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Your search keyword '"Behera, Manasa R."' showing total 12 results
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12 results on '"Behera, Manasa R."'

1. Regional modeling of surface and sub-surface dynamics in the Bay of Bengal using Modular Ocean Model

Author

Tirodkar, Siddhesh, Sarkar, Mousumi, Chauhan, Rajesh, Behera, Manasa R., and Balasubramanian, Sridhar

Subjects
Physics - Atmospheric and Oceanic Physics
Abstract

Regional dynamics of Bay of Bengal is studied using Open Boundary Condition (OBC) in Modular Ocean Model (MOM) to understand the effect of primary and secondary mesoscale features on various bulk ocean products and turbulent fluxes. A horizontal resolution of 0.1o is adopted to resolve a range of mesoscale features. In order to parametrize the vertical mixing, K-Profile Parametrization (KPP) scheme is implemented. The results show successful implementation of OBC in a regional domain with exchange of mass and energy and conservation of mass at the boundaries. The Sea Surface Temperature (SST) and Sea Surface Salinity (SSS) are validated with SODA reanalysis, which are found to be in good agreement. The Mixed Layer Depth (MLD) pattern is very well represented, albeit the magnitude is slightly under-predicted in comparison with SODA reanalysis. Additionally, analysis of flow energetics reveal regional differences in turbulent kinetic energy (K), production flux (P), buoyancy flux (B), and dissipation ({\epsilon}). Our results clearly reveal the presence of inverse energy-cascade in the southern Bay of Bengal, wherein energy flows back into mean flow structures from the turbulent eddies. The re-energization of mean flow structures is likely to allow the large-scale circulation to persist for longer periods, thereby modifying the local dynamics. Further analysis shows that the B term is the major source of turbulence production in the north and central Bay of Bengal regions. These results convey the various mechanisms by which energy is produced and transferred in different regions of Bay of Bengal.

Published
2021

4. Numerical Modelling of Hydrodynamic Impact of Tsunami on Coastal Structures in the Presence of Curved Sea Wall

Author

Gupta, Aditya, Behera, Manasa R., Heidarpour, Amin, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Solari, Giovanni, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Murali, K., editor, Sriram, V., editor, Samad, Abdus, editor, and Saha, Nilanjan, editor

Published
2019
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7. Sensitivity analysis of vertical mixing schemes in a regional domain using modular Ocean model.

Author

Sarkar, Mousumi, Tirodkar, Siddhesh, Chauhan, Rajesh, Vellala, Srinivas L., Balasubramanian, Sridhar, and Behera, Manasa R.

Subjects
SENSITIVITY analysis, OCEAN temperature, OCEAN, MIXING height (Atmospheric chemistry), SURFACE properties
Abstract

In this study, a regional modelling approach is adopted using the Modular Ocean Model version 5 (MOM5) with implementation of open boundary condition (OBC) in the Bay of Bengal (BoB) region. The domain is given an initial stratification profile of climatological temperature and salinity and is forced using seasonally varying wind and air-sea fluxes at the surface. A sensitivity analysis is performed by changing the vertical mixing schemes. Changes in vertical mixing schemes have significant impact on the ocean system, including the surface properties. Two different vertical mixing models are used: K-profile parameterization (KPP), and k- ∈ turbulence model. Inter-comparison between these two experiments suggests that k- ∈ model performs seemingly better than the KPP model. With k- ∈ mixing scheme, the simulated sea surface temperature (SST) and mixed layer depth (MLD) are closer to observations. Model generated turbulent kinetic energy (k) and dissipation ( ∈) are different in the two experiments because of different representations of k and ∈ in the two models. The results show the importance of regional modelling and the use of different mixing schemes. Employing a physics-based vertical mixing scheme, such as the k- ∈ turbulence model, shows improvement in the model physics and the model simulated ocean parameters. [ABSTRACT FROM AUTHOR]

Published
2023
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