Salinity data curation using CMIP6 projections and artificial neural network for the Bay of Bengal

References

• Adhikary, S., Chaturvedi, S.K., Banerjee, S., and Basu, S. (2021). “Dependence of Physiochemical Features on marine Chlorophyll analysis with learning techniques”. Advances in environment engineering and management, Springer Proceedings in Earth and Environmental Sciences, Springer, Cham. 10.1007/978-3-030-79065-3_29
   Google Scholar
• Agarap, A.F., Deep learning using Rectified linear units, (2018), https://arxiv.org/abs/1803.08375.
   Google Scholar
• Cox, D.T., Tissot, P., and Michaud, P. (2002). “Water level observations and short-term predictions including meteorological events for entrance of Galveston Bay, Texas”. J. Waterways Port Coastal Ocean Eng. Div, 128(1), 21–29.10.1061/(ASCE)0733-950X(2002)128:1(21)
   Web of Science ®Google Scholar
• Dauji, S., Deo, M.C., and Bhargava, K. (2015). “Prediction of ocean currents with artificial neural networks”. ISH J. Hydraul. Eng., 21(1), 14–27. 10.1080/09715010.2014.938133
   Google Scholar
• Deo, M.C. (2010). “Artificial neural networks in coastal and ocean engineering”. Indian J. Geo-Marine Sci, 39 589–596.
   Web of Science ®Google Scholar
• Eyring, V., Bony, S., Meehl, G.A., Senior, C.A., Stevens, B., Stouffer, R.J., and Taylor, K.E. (2016). “Overview of the coupled model intercomparison project phase 6 (CMIP6) experimental design and organization”. Geosci. Model Dev, 9(5), 1937–1958. 10.5194/gmd-9-1937-2016
   Web of Science ®Google Scholar
• Feely, R.A., Doney, S.C., and Cooley, S.R. (2009). “Ocean acidification: Present conditions and future changes in a high-co2 world”. Oceanog., 22(4), 36–47. 10.5670/oceanog.2009.95
   Web of Science ®Google Scholar
• Jana, S., Gangopadhyay, A., Lermusiaux, P.F., Chakraborty, A., Sil, S., and Haley, P.J., Jr. (2018). “Sensitivity of the Bay of Bengal upper ocean to different winds and river input conditions”. J. Marine Syst., 187 206–222. 10.1016/j.jmarsys.2018.08.001
   Web of Science ®Google Scholar
• Jin, S., Pan, H., and Xu, T. (2023). “Assessment of the sea surface salinity simulation and projection surrounding the Asian waters in the CMIP6 models”. Atmosphere, 14(4), 726. 10.3390/atmos14040726
   Web of Science ®Google Scholar
• Joshi, A.P., Chowdhury, R.R., Warrior, H.V., and Kumar, V. (2021). “V Kumar influence of the freshwater plume dynamics and the barrier layer thickness on the CO2 source and sink characteristics of the Bay of Bengal”. Mar. Chem, 236 104030. 10.1016/j.marchem.2021.104030
   Web of Science ®Google Scholar
• Joshi, A., and Warrior, H. (2022). “Comprehending the role of different mechanisms and drivers affecting the sea-surface pco2 and the air-sea co2 fluxes in the Bay of Bengal: A modeling study”. Mar. Chem, 243 104120. 10.1016/j.marchem.2022.104120
   Web of Science ®Google Scholar
• Kingma, D.P., and Ba, J.L. (2014).“Adam: A Method for Stochastic Optimization”. 10.48550/arXiv.1412.6980
   Google Scholar
• Kretzschmar, R., Eckert, P., Cattani, D., and Eggimann, F. (2004). “Neural network classifiers for local wind prediction”. J. Appl. Meteorol., 43(5), 727–738. 10.1175/2057.1
   Google Scholar
• Kumar, V., Joshi, A.P., and Warrior, H.V. (2022). “Assesment of the CMIP6 models to study interseasonal SST variabilities in the BoB”.ISH J. Hydraul. Eng., 29(3),1–9. 10.1080/09715010.2022.2068355
   Google Scholar
• LaFond, E.C., and LaFond, K.G. (1968). “Studies of oceanic circulation in the Bay of Bengal”. Bull. Nat. Inst. Sci. India, 38 164–183.
   Google Scholar
• Murty, V., Sarma, Y., Babu, M., and Rao, D. (1992). “Hydrography and circulation in the northwestern bay of bengal during the retreat of southwest monsoon”. Proc. Indian Acad. Sci., 101(1), 67–75. 10.1007/BF02839173
   Google Scholar
• O’Malley, T., Bursztein, E., Long, J., Chollet, F., Jin, H., and Invernizzi, L. (2019). Keras Tuner
   Google Scholar
• Rao, D.P., and Sastry, J.S. (1981). “Circulation and distribution of some hydrographical properties during the late winter in the Bay of Bengal”. Bull. Nat. Inst. Oceanogr. Mahasagar, 14 1–15.
   Google Scholar
• Sandeep, K.K., and Pant, V. (2019). “Riverine freshwater plume variability in the Bay of Bengal using wind sensitivity experiments”. Deep-Sea Res. Part II, 168 1–20. https://doi.org/10.1016/j.dsr2.2019.104649
   Web of Science ®Google Scholar
• Sarma, V., Krishna, M., Paul, Y., and Murty, V. (2015). “Observed changes in ocean acidity and carbon dioxide exchange in the coastal Bay of Bengal–a link to air pollution”. Tellus B: Chem. Phy. Meteorol, 67(1), 24638. 10.3402/tellusb.v67.24638
   Google Scholar
• Shetye, S., Gouveia, A., Shankar, D., Shenoi, S., Vinayachandran, P., Sundar, D., Michael, G., and Nampoothiri, G. (1996). “Hydrography and circulation in the western Bay of bengal during the northeast monsoon, (1996”. J. Geophys. Res., 101(C6), Oceans-101, pp.14011–14025. 10.1029/95JC03307
   Web of Science ®Google Scholar
• Sumangala, D., Joshi, A., and Warrior, H. (2022). “Modelling freshwater plume in the Bay of Bengal with artificial neural networks CURRENT”. SCIENCE, 123(1), 73. 10.18520/cs/v123/i1/73-80
   Web of Science ®Google Scholar
• Sumangala, D., and Warrior, H. (2020). “Coastal modelling incorporating artificial neural networks for improved velocity prediction”.ISH J. Hydraul. Eng., 28(sup1),1–11. 10.1080/09715010.2020.1771220
   Google Scholar
• Unesco. (1969). Discharge of selected rivers of the world, Author
   Google Scholar
• Varadachari, V.V.R., Murty, C.S., and Das, P.K. (1968). “On the level of least motion and the circulation in the upper layers of the Bay of Bengal”. Bull. Nat. Inst. Oceanogr, 38 301–307.
   Google Scholar
• Vinayachandran, P., and Kurian, J. (2007). “Hydrographic observations and model simulation of the Bay of Bengal freshwater plume”. Deep Sea Res. Part I, 54(4), 471–486. 10.1016/j.dsr.2007.01.007
   Web of Science ®Google Scholar
• Vinayachandran, P., Murty, V., and Ramesh Babu, V. (2002). “Observations of barrier layer formation in the Bay of Bengal during summer monsoon”. J. Geophys. Res., 107(C12), SRF 19-1 - SRF 19–9. 10.1029/2001JC000831
   Web of Science ®Google Scholar
• Wu, K.K. (1994). Neural networks and simulation methods. Marcel Decker, New York
   Google Scholar
• Xin, X.G., Wu, T.W., Zhang, J., Yao, J.C., and Fang, Y.J. (2020). “Comparison of CMIP6 and CMIP5 simulations of precipitation in China and the East Asian summer monsoon”. Int. J. Climatol, 40(15), 6423–6440. https://doi.org/10.1002/joc.6590
   Web of Science ®Google Scholar
• Zhou, T.J., Zou, L.W., and Chen, X.L. (2019). “Commentary on the coupled model intercomparison project phase 6 (CMIP6)”. Clim. Change Res, 11 445–456. https://doi.org/10.12006/j.issn.1673-1719.2019.193
   Google Scholar