Response of quick scatterometer wind forcing on the ROMS simulation during ‘MALA’ cyclone

707-715Tropical cyclones are form of intense storms which are common in the Bay of Bengal (BOB) and known for their damage potential to human and natural resources especially in the coastal parts of India, Bangladesh and Myanmar. A two-way effect is prominent between BOB’s sea surface temperature (SST) and these cyclonic events. On one side, BOB’s high SST favours formation of cyclones and on the other side it itself gets affected whenever cyclone occurs. The later part along with circulation patterns has been simulated here with the help of high resolution Regional Ocean Modeling System (ROMS) for 'MALA' cyclone. Remote sensing instrument Quick Scatterometer (QuikSCAT)-derived daily wind components are used as atmospheric forcing conditions for ROMS simulations. ROMS circulation is found highly sensitive towards QuikSCAT wind forcing and reveal an anticlockwise rotation with high magnitude currents due to cyclone passage. Near surface as well as deeper isotherm and isohaline surfaces show high degree of spatial variability and overall indication of upwelling happening on near track area. It is found that mixed layer depth reduces at the storm centre due to intense upwelling but increases far away from it because of high winds. Due to intrusion of bottom high saline water and reduction of temperature, density increases from its initial value which affects water column stability from surface to even below 150 m depth

Implication of empirical orthogonal function analysis to objectively analyzed sea surface temperature data of Bay of Bengal

39-44In this study, the Empirical Orthogonal Function (EOF) analysis was accomplished on a long term monthly Sea Surface Temperature (SST) data over the Bay of Bengal (BOB) through the Singular Value Decomposition (SVD) method. Monthly temperature data was obtained from the assimilation of recent ARGO observations into the Levitus Climatology using objective analysis technique. The aim of this study is divided into two categories : the intrinsicvaluable information obtained through EOF and reconstruction of the whole data from the dominant modes. Computational accuracy was calculated through skill analysis. Comparison between the original and reconstructed dataset revealed that EOF analysis extracts the small intrinsic signals and acts like a smoothing technique filtering out the unwanted signals. Reconstruction with five dominant modes is sufficient to express the basin dynamics for the BOB. Skill analysis revealed accuracy of reconstruction with respect to original SST in the range of 98-99% at different spatial locations

Book of Abstracts of the 2nd International Conference on Applied Mathematics and Computational Sciences (ICAMCS-2022)

It is a great privilege for us to present the abstract book of ICAMCS-2022 to the authors and the delegates of the event. We hope that you will find it useful, valuable, aspiring, and inspiring. This book is a record of abstracts of the keynote talks, invited talks, and papers presented by the participants, which indicates the progress and state of development in research at the time of writing the research article. It is an invaluable asset to all researchers. The book provides a permanent record of this asset. Conference Title: 2nd International Conference on Applied Mathematics and Computational SciencesConference Acronym: ICAMCS-2022Conference Date: 12-14 October 2022Conference Organizers: DIT University, Dehradun, IndiaConference Mode: Online (Virtual