Academic Scientific JournalsDay-to-day statistical and spatio-temporal analysis of cyclone Mocha (2023) induced cold wake and sea surface height anomalies through multi-resolution satellite data and cloud computing
DOI:
https://doi.org/10.26881/oahs-2026.1.06Keywords:
cyclone, Mocha, Bay of Bengal, cold wake, anomaliesAbstract
As an intense tropical cyclone (TC) formed over the Bay of Bengal (BoB) in May 2023, Cyclone Mocha provides a significant opportunity to examine upper ocean responses to cyclonic forcing. Here, a spatio-temporal analysis has been done for cyclone induced Cold wake and sea surface height (SSH) changes through high-resolution daily satellite datasets combined with cloud computing through Google Earth Engine (GEE) and statistical analysis supported by Python-based processing. Buffering a spatial extent of 300 km along the cyclone track, the pre-cyclone period of 15 days was taken as the baseline for examination, 15th April’23–1st May’23, with a broader examination attempted from 15th April to 31st May’ 2023. Results indicated a strong cold wake occurring along Mocha’s track with sea surface temperature (SST) falling by around 2°C. Sea Surface Height Anomaly SSHA exhibited a moderate positive relationship with SST and a weaker recovery. The statistical interpretation from the results of Pearson’s correlation, Linear Trends and Causality (Granger) indicated a specific impact of the cyclone on SST and SSHA. The results validated cyclone- ocean interactions with strong indications of spatial and temporal alignment of regional dynamics, wind, SST and SSH. It also highlighted the strength of cloud computing and satellite outputs for ocean monitoring, forecasting, re-analysis, and resilience.
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Akhila, R. S., Kuttippurath, J., Chakraborty, A., Sunanda, N., & Peter, R. (2025). Rapid intensification of the Super Cyclone Amphan: Environmental drivers and its future projections. Tropical Cyclone Research and Review, 14(1), 27–39. https://doi.org/10.1016/j.tcrr.2025.02.005
Akhila, R. S., Kuttippurath, J., Sarojini, B. B., Chakraborty, A., & Rahul, R. (2022). Observed tropical cyclone-driven cold wakes in the context of rapid warming of the Arabian Sea. Tellus A: Dynamic Meteorology and Oceanography, 74(1), 236–251. https://doi.org/10.1080/16000870.2022.2072646
Alamgir, M., Hashim, M., Pour, A. B., & Shahid, S. (2025). Transformation in the sea surface properties of the Bay of Bengal under climate change. Ocean Dynamics, 75, Article 76. https://doi.org/10.1007/s10236-025-01715-1
Alam, M. M., Hossain, M. A., & Shafee, S. (2003). Frequency of Bay of Bengal cyclonic storms and depressions crossing different coastal zones. International Journal of Climatology, 23(9), 1119–1125. https://doi.org/10.1002/joc.927
Albert, J., & Bhaskaran, P. K. (2020). Ocean heat content and its role in tropical cyclogenesis for the Bay of Bengal basin. Climate Dynamics, 55(11–12), 3343–3362. https://doi.org/10.1007/s00382-020-05450-9
Ali, M. M., Goni, G. J., & Jayaraman, V. (2011). Satellite-derived ocean heat content improves cyclone predictions: Utilization of satellite-derived oceanic heat content for cyclone studies, Hyderabad, India, 25–26 March 2010. Eos, Transactions American Geophysical Union, 92(43), 357–358. https://doi.org/10.1029/2010EO430009
Balaguru, K., Chang, P., Saravanan, R., Leung, L. R., Xu, Z., Li, M., & Hsieh, J.-S. (2012). Ocean barrier layers’ effect on tropical cyclone intensification. Proceedings of the National Academy of Sciences of the United States of America, 109(36), 14343–14347. https://doi.org/10.1073/pnas.1201364109
Bernier, N. B., Hemer, M., Mori, N., Appendini, C. M., Breivik, O., de Camargo, R., Casas-Prat, M., Duong, T. M., Haigh, I. D., Howard, T., Hernaman, V., Huizy, O., Irish, J. L., Kirezci, E., Kohno, N., Lee, J.-W., McInnes, K. L., Meyer, E. M. I., Marcos, M., … Zhang, Y. J. (2024). Storm surges and extreme sea levels: Review, establishment of model intercomparison and coordination of surge climate projection efforts (SurgeMIP). Weather and Climate Extremes, 45, 100689. https://doi.org/10.1016/j.wace.2024.100689
Bhardwaj, P., Singh, O., Pattanaik, D. R., & Klotzbach, P. J. (2019). Modulation of Bay of Bengal tropical cyclone activity by the Madden–Julian Oscillation. Atmospheric Research, 229, 23–38. https://doi.org/10.1016/j.atmosres.2019.06.010
Bhatia, K. T., Vecchi, G. A., Knutson, T. R., Murakami, H., Dixon, K. W., & Whitlock, C. E. (2019). Recent increases in tropical cyclone intensification rates. Nature Communications, 10(1), 635. https://doi.org/10.1038/s41467-019-08471-z
Borradaile, G. J. (2013). Statistics of earth science data: Their distribution in time, space and orientation. Springer Berlin Heidelberg.
Busireddy, N. K. R., Ankur, K., Osuri, K. K., Sivareddy, S., & Niyogi, D. (2019). The response of ocean parameters to tropical cyclones in the Bay of Bengal. Quarterly Journal of the Royal Meteorological Society, 145(724), 3320–3332. https://doi.org/10.1002/qj.3622
Chacko, N., & Jayaram, C. (2022). Response of the Bay of Bengal to super cyclone Amphan examined using synergistic satellite and in-situ observations. Oceanologia, 63(4), 493–505. https://doi.org/10.1016/j.oceano.2021.09.006
Chatfield, C. (2003). The analysis of time series: An Introduction (6th ed.). CRC Press.
Cheng, X., Xie, S.-P., McCreary, J. P., Qi, Y., & Du, Y. (2013). Intraseasonal variability of sea surface height in the Bay of Bengal. Journal of Geophysical Research: Oceans, 118(1), 1–15. https://doi.org/10.1002/jgrc.20075
Cheung, H.-F., Pan, J., Gu, Y., & Wang, Z. (2013). Remote-sensing observation of ocean responses to Typhoon Lupit in the northwest Pacific. International Journal of Remote Sensing, 34(4), 1478–1491. https://doi.org/10.1080/01431161.2012.721940
Chu, P. C., Veneziano, J. M., Fan, C., Carron, M. J., & Liu, W. T. (2000). Response of the South China Sea to tropical cyclone Ernie (1996). Journal of Geophysical Research: Oceans, 105(C6), 13991–14009. https://doi.org/10.1029/2000JC900035
Cione, J. J., Kalina, E. A., Zhang, J. A., & Uhlhorn, E. W. (2013). Observations of air–sea interaction and intensity change in hurricanes. Monthly Weather Review, 141(7), 2368–2382. https://doi.org/10.1175/MWR-D-12-00070.1
Cione, J. J., & Uhlhorn, E. W. (2003). Sea surface temperaturę variability in hurricanes: Implications with respect to intensity change. Monthly Weather Review, 131(8), 1783–1796. https://doi.org/10.1175/2562.1
D’Asaro, E., Lee, C., Rainville, L., Harcourt, R., & Thomas, L. (2011). Enhanced turbulence and energy dissipation at ocean fronts. Science, 332(6027), 318–322. https://doi.org/10.1126/science.1201515
Dare, R. A., & McBride, J. L. (2011). Sea surface temperaturę response to tropical cyclones. Monthly Weather Review, 139(12), 3798–3808. https://doi.org/10.1175/MWR-D-10-05019.1
Das, G. K., & Debnath, G. C. (2017). Governing factors associated with intensification of TC—A diagnostic study of VSCS Phailin and Lehar. In M. Mohapatra, B. Bandyopadhyay, & L. Rathore (Eds.), Tropical cyclone activity over the North Indian Ocean (pp. 245–255). Springer. https://doi.org/10.1007/978-3-319-40576-6_17
Das, R., Mondal, S., Mandal, A. K., Jaiswal, N., Saha, T. K., & De, T. K. (2025). Study of Bay of Bengal cyclones for year 2023 using SCAT-3 and GFS datasets and numerical simulation of associated surges using SWAN + ADCIRC model. Ocean Dynamics, 75, 74. https://doi.org/10.1007/s10236-025-01722-2
Dickey, T., Frye, D., McNeil, J., Manov, D., Nelson, N., Sigurdson, D., Jannasch, H., Siegel, D., Michaels, A., & Johnson, R. (1998). Upper-ocean temperature response to Hurricane Felix as measured by the Bermuda Testbed Mooring. Monthly Weather Review, 126(5), 1195–1201. https://doi.org/10.1175/1520-0493(1998)126<1195:UOTRTH>2.0.CO;2
Dube, S. K., Jain, I., Rao, A. D., & Murty, T. S. (2009). Storm surge modelling for the Bay of Bengal and Arabian Sea. Natural Hazards, 51(1), 3–27. https://doi.org/10.1007/s11069-009-9397-9
Elizabeth, A. I., Effy, J. B., & Francis, P. A. (2020). On the upper ocean response of Bay of Bengal to very severe cyclones Phailin and Hudhud. Journal of Operational Oceanography, 15(1), 17–31. https://doi.org/10.1080/1755876X.2020.1813412
Emanuel, K. A. (1986). An air-sea interaction theory for tropical cyclones. Part I: Steady-state maintenance. Journal of the Atmospheric Sciences, 43(6), 585–604. https://doi.org/10.1175/1520-0469(1986)043<0585:AASITF>2.0.CO;2
Feng, J. Q. (2012). Interannual coherent variability of SSTA and SSHA in the Tropical Indian Ocean. Ocean Science Discussions, 9(1), 1–24. https://doi.org/10.5194/osd-9-1-2012
Fu, H., Dan, B., Gao, Z., Wu, X., Chao, G., Zhang, L., Zhang, Y., Liu, K., Zhang, X., & Li, W. (2023). Global ocean reanalysis CORA2 and its inter comparison with a set of other reanalysis products. Frontiers in Marine Science, 10, 1084186. https://doi.org/10.3389/fmars.2023.1084186
Goni, G. J., & Trinanes, J. A. (2011). Ocean thermal structure monitoring could aid in the intensity forecast of tropical cyclones. Eos, 92(51), 247–248. https://doi.org/10.1029/2003EO510001
Google Earth Engine. (2025). Google Earth Engine Code Editor. https://code.earthengine.google.com/
Gopalan, A. K. S., Gopala Krishna, V. V., Ali, M. M., & Sharma,R. (2000). Detection of Bay of Bengal eddies from TOPEX and in situ observations. Journal of Marine Research, 58(5), 721–734. https://doi.org/10.1357/002224000321358873
IMD. (2023). Tropical cyclone mocha report. India Meteorological Department.
INCOIS. (2023). Post-cyclone mocha SST and SSH analysis report. Indian National Centre for Ocean Information Services. https://incois.gov.in.
Jarugula, S. L., & McPhaden, M. J. (2022). Ocean mixed layer response to two post-monsoon cyclones in the Bay of Bengal in 2018. Journal of Geophysical Research: Oceans, 127(9), e2022JC018874. https://doi.org/10.1029/2022JC018874
Ji, C., Zhang, Y., Cheng, Q., & Tsou, J. Y. (2021). Investigating ocean surface responses to typhoons using reconstructed satellite data. International Journal of Applied Earth Observation and Geoinformation, 103, 102474. https://doi.org/10.1016/j.jag.2021.102474
John, E. B., Balaguru, K., Leung, L. R., Foltz, G. R., & Hagos, S. M. (2025). Faster recovery of North Atlantic tropical cycloneinduced cold wakes in recent decades. npj Climate and Atmospheric Science, 8, Article 188. (osti.gov). https://doi.org/10.1038/s41612-025-01029-5
Jourdain, N. C., Lengaigne, M., Vialard, J., Madec, G., Menkes, C. E., Vincent, E. M., Jullien, S., & Barnier, B. (2013). Observation-based estimates of surface cooling inhibition by heavy rainfall under tropical cyclones. Journal of Physical Oceanography, 43(1), 205–221. https://doi.org/10.1175/JPO-D-12-085.1
JTWC. (2023). Tropical cyclone mocha warning bulletins. Joint Typhoon Warning Center.
Kang, K., & Moon, I.-J. (2022). Sea surface height changes due to the tropical cyclone-induced water mixing in the Yellow Sea, Korea. Frontiers in Earth Science, 10, Article 826582. https://doi.org/10.3389/feart.2022.826582
Karnauskas, K. B., Zhang, L., & Emanuel, K. A. (2021). The feedback of cold wakes on tropical cyclones. Geophysical Research Letters, 48(7), e2020GL091676. https://doi.org/10.1029/2020GL091676
Kerhalkar, S., Kannad, A., Kinsella, A., Tandon, A., Sprintall, J., & Lee, C. M. (2025). Monsoon-frontal interactions drive Cyclone Biparjoy’s wake recovery in the Arabian Sea. Geophysical Research Letters, 52(4), e2024GL112413. https://doi.org/10.1029/2024GL112413
Kodunthirapully Narayanaswami, N., & Ramasamy, V. (2022). Tropical cyclone intensity modulated by the oceanic eddies in the Bay of Bengal. Oceanologia, 64(2), 257–270. https://doi.org/10.1016/j.oceano.2022.02.005
Kranthi, G. M., Deshpande, M., Sunilkumar, K., Emmanuel, R., & Ingle, S. (2022). Climatology and characteristics of rapidly intensifying tropical cyclones over the North Indian Ocean. International Journal of Climatology, 43(2), 1234–1248. https://doi.org/10.1002/joc.7945
Kumar, A., Chakraborty, A., & Sagar, A. K. (2024). Analysis of the Bay of Bengal cyclone and its rejuvenation in the Arabian Sea after passing over peninsular India. Geomatics, Natural Hazards and Risk, 15(1), Article 2433110. https://doi.org/10.1080/19475705.2024.2433110
Kuttippurath, J., Akhila, R. S., Martin, M. V., Girishkumar, M. S., Mohapatra, M., Sarojini, B. B., Mogensen, K., Sunanda, N., & Chakraborty, A. (2022). Tropical cycloneinduced cold wakes in the northeast Indian Ocean. Environmental Science: Atmospheres, 2(3), 404–415. https://doi.org/10.1039/D1EA00066G
Lin, I. I., Liu, W. T., Wu, C.-C., Wong, G. T. F., Hu, C., Chen, Z., Liang, W.-D., Yang, Y., & Liu, K.-K. (2003). New evidence for enhanced ocean primary production triggered by tropical cyclone. Geophysical Research Letters, 30(13), 1718. https://doi.org/10.1029/2003GL017141
Lin, I.-I., Pun, I.-F., & Wu, C.-C. (2009). Upper-ocean thermal structure and the western North Pacific category 5 typhoons. Part II: Dependence on translation speed. Monthly Weather Review, 137(11), 3744–3757. https://doi.org/10.1175/2009MWR2713.1
Ling, Z., Chen, Z., Wang, G., He, H., & Chen, C. (2021). Recovery of tropical cyclone–induced SST cooling observed by satellite in the northwestern Pacific Ocean. Remote Sensing, 13(18), Article 3781. https://doi.org/10.3390/rs13183781
Lloyd, I. D., & Vecchi, G. A. (2011). Observational evidence for oceanic controls on hurricane intensity. Journal of Climate, 24(4), 1138–1153. https://doi.org/10.1175/2010JCLI3763.1
Makarieva, A. M., Gorshkov, V. G., & Li, B.-L. (2008). On the validity of representing hurricanes as Carnot heat engines. Atmospheric Chemistry and Physics Discussions, 8, 17423–17437. https://doi.org/10.5194/acpd-8-17423-2008
Maneesha, K., Sarma, V. V. S. S., Reddy, N. P. C., Sadhuram, Y., Ramana Murty, T. V., Sarma, V. V., & Dileep, K. M. (2011). Meso-scale atmospheric events promote phytoplankton blooms in the coastal Bay of Bengal. Journal of Earth System Science, 120(4), 773–782. https://doi.org/10.1007/s12040-011-0089-y
McNeil, B. I., & Matear, R. J. (2008). Southern Ocean acidification: A tipping point at 450-ppm atmospheric CO₂. Proceedings of the National academy of Sciences of the United States of America, 105(48), 18860–18864. https://doi.org/10.1073/pnas.0806318105
Mei, W., Lien, C.-C., Lin, I.-I., & Xie, S.-P. (2015). Tropical cyclone–induced ocean response: A comparative study of the South China Sea and tropical Northwest Pacific. Journal of Climate, 28(15), 5952–5968. https://doi.org/10.1175/JCLI-D-14-00651.1
Mishra, A. K., Jangir, B., & Strobach, E. (2024). Influence of mesoscale sea-surface temperature structures on the Mediterranean cyclone Ianos in convection-permitting simulations: Contributions of surface warming and cold wakes. Quarterly Journal of the Royal Meteorological Society, 150(765), 5146–5166. https://doi.org/10.1002/qj.4862
Mittal, R., Tewari, M., Radhakrishnan, C., Ray, P., Singh, T., & Nickerson, A. K. (2019). Response of tropical cyclone Phailin (2013) in the Bay of Bengal to climate perturbations. Climate Dynamics, 53(3–4), 2013–2030. https://doi.org/10.1007/s00382-019-04761-w
Mohanty, P. K., Pradhan, Y., Nayak, S. R., Panda, U. S., & Mohapatra, G. N. (2008). Sediment dispersion in the Bay of Bengal. In P. K. Mohanty (Ed.), Monitoring and modeling lakes and coastal environments (pp. 50–78). Springer. https://doi.org/10.1007/978-1-4020-6646-7_5
Mukherjee, P., Rajendiran, S., Ravikumar, B. H., & Ramakrishnan, B. (2024). Comparative evaluation of meteorological inputs for improved storm surge modeling: A case study of tropical Cyclone Vayu. Dynamics of Atmospheres and Oceans, 105, 101461. https://doi.org/10.1016/j.dynatmoce.2024.101461
Murty, T. S., Flather, R. A., & Henry, R. F. (1986). The storm surge problem in the Bay of Bengal. Progress in Oceanography, 16(4), 195–233. https://doi.org/10.1016/0079-6611(86)90039-X
NASA Earth Observatory. (2023, May 14). Cyclone mocha strikes Myanmar. https://www.earthobservatory.nasa.gov/images/151343/cyclone-mocha-strikes-myanmar
National Centers for Environmental Information. (n.d.). Optimum Interpolation Sea Surface Temperature (OISST). Retrieved [October 25], from https://www.ncei.noaa.gov/products/optimum-interpolation-sst NCEI+2NCEI+2
Navaneeth, K. N., Martin, M. V., Joseph, K. J., & Venkatesan, R. (2019). Contrasting the upper ocean response to two intense cyclones in the Bay of Bengal. Deep Sea Research Part I: Oceanographic Research Papers, 147, 65–78. https://doi.org/10.1016/j.dsr.2019.03.010
Neetu, S., Lengaigne, M., Vincent, E. M., Vialard, J., Durand, F., Madec, G., Samson, G., & Kumar, M. R. R. (2012). Influence of oceanic stratification on tropical cyclone–induced surface cooling in the Bay of Bengal. Journal of Geophysical Research: Oceans, 117(C12), C12020. https://doi.org/10.1029/2012JC008433
Nelson, N. B. (1996). Cover: The wake of hurricane felix. International Journal of Remote Sensing, 17(15), 2893–2895. https://doi.org/10.1080/01431169608949116
Novi, L., & Bracco, A. (2021). Uncovering marine connectivity through sea surface temperature. Scientific Reports, 11(1), Article 87711. https://doi.org/10.1038/s41598-021-87711-z
Oey, L.-Y., Ezer, T., Wang, D.-P., Yin, X.-Q., & Fan, S.-J. (2007). Hurricane-induced motions and interaction with ocean currents. Continental Shelf Research, 27(9), 1249–1263. https://doi.org/10.1016/j.csr.2007.01.008
Oginni, T. E., Li, S., He, H., Yang, H., & Ling, Z. (2021). Ocean response to Super-Typhoon Haiyan. Water, 13(20), 2841. https://doi.org/10.3390/w13202841
Ortiz, A. M. D., Chua, P. L. C., Salvador, D. Jr., Dacles, T. G., Torres, J. P., & Abesamis, R. A. (2023). Impact of tropical cyclones on food security, health and biodiversity. Bulletin of the World Health Organization, 101(2), 152–154. https://doi.org/10.2471/BLT.22.288838
Pasquero, C., Desbiolles, F., & Meroni, A. N. (2021). Air-sea interactions in the cold wakes of tropical cyclones. Geophysical Research Letters, 48(2), e2020GL091185. https://doi.org/10.1029/2020GL091185
Pathirana, G., & Priyadarshani, K. (2022). Tropical cyclones in the Arabian Sea and the Bay of Bengal: Comparison of environmental factors. Journal of the National Science Foundation of Sri Lanka, 50(1), 53–64. https://doi.org/10.227/jnsfsr.v50i1.10424
Prakash, K. R., & Pant, V. (2020). On the wave‐current interaction during the passage of a tropical cyclone in the Bay of Bengal. Deep Sea Research Part II: Topical Studies in Oceanography, 172, 104658. https://doi.org/10.1016/j.dsr2.2019.104658
Price, J. F. (1981). Upper ocean response to a hurricane. Journal of Physical Oceanography, 11(2), 153–175. https://doi.org/10.1175/1520-0485(1981)011<0153:UORTAH>2.CO;2
Price, J. F. (2009). Metrics of hurricane–ocean interaction: Vertically integrated or vertically averaged ocean temperature? Ocean Science, 5(3), 351–368. https://doi.org/10.5194/os-5-351-2009
Price, J. F., Sanford, T. B., & Forristall, G. Z. (1994). Forced stage response to a moving hurricane. Journal of Physical Oceanography, 24(2), 233–260. https://doi.org/10.1175/1520-0485(1994)024<0233:FSRTAM>2.0.CO;2
Ramachandran, S., Tandon, A., Mackinnon, J., Lucas, A. J., Pinkel, R., Waterhouse, A. F., Nash, J., Shroyer, E., Mahadevan, A., Weller, R. A., & Farrar, J. T. (2018). Submesoscale processes at shallow salinity fronts in the Bay of Bengal: Observations during the winter monsoon. Journal of Physical Oceanography, 48(3), 479–509. https://doi.org/10.1175/JPO-D-16-0283.1
Ren, D., Han, S., & Wang, S. (2024). Upper ocean responses to tropical cyclone Mekunu (2018) in the Arabian Sea. Journal of Marine Science and Engineering, 12(7), 1177. https://doi.org/10.3390/jmse12071177
Ricciardulli, L., Howell, B., Jackson, C. R., Hawkins, J., Courtney, J., Stoffelen, A., Langlade, S., Fogarty, C., Mouche, A., Blackwell, W., Meissner, T., Heming, J., Candy, B., McNally, T., Kazumori, M., Khadke, C., & Escullar, M. A. G. (2023). Remote sensing and analysis of tropical cyclones: Current and emerging satellite sensors. Tropical Cyclone Research and Review, 12(4), 267–293. https://doi.org/10.1016/j.tcrr.2023.12.003
Ridderinkhof, H., van der Werf, P. M., Ullgren, J. E., van Aken, H. M., van Leeuwen, P. J., & de Ruijter, W. P. M. (2010). Seasonal and interannual variability in the Mozambique Channel from moored current observations. Journal of Geophysical Research: Oceans, 115(C6), C06010. https://doi.org/10.1029/2009JC005619
Roxy, M. K., Kapoor, R., Terray, P., & Masson, S. (2014). The curious case of Indian Ocean warming. Journal of Climate, 27(22), 8501–8509. https://doi.org/10.1175/JCLI-D-14-00471.1
Sadhuram, Y. (2004). Record decrease of sea Surface temperature following the passage of a super cyclone over the Bay of Bengal. Current Science, 86(3), 383–384.
Sala, J., Giglio, D., Hu, A., Kuusela, M., Wood, K. M., & Lee, A. B. (2024). Upper-ocean changes with hurricane-strength wind events: A study using Argo profiles and an ocean reanalysis. Ocean Science, 20(6), 1441–1455. https://doi.org/10.5194/os-20-1441-2024
Salvatore, D., & Reagle, D. (2002). Schaum’s outline of statistics and econometrics. Mcgraw-hill.
Sanford, T. B., Price, J. F., Girton, J. B., & Webb, D. C. (2007). Highly resolved observations and simulations of the ocean response to a hurricane. Geophysical Research Letters, 34(13), L13604. https://doi.org/10.1029/2007GL029679
Schade, L. R., & Emanuel, K. A. (1999). The ocean’s effect on the intensity of tropical cyclones: Results from a simple coupled atmosphere–ocean model. Journal of the Atmospheric Sciences, 56(4), 642–651. https://doi.org/10.1175/1520-0469(1999)056<0642:TOSEOT>2.0.CO;2
Selva, K. M., Geethalakshmi, V., Pazhanivelan, S., Subrahmaniyan, K., Dheebakaran, G. A., Saravanakumar, V., Bhuvaneswari, K., & Pugazenthi, K. (2025). Review on evolving cyclone patterns in Bay of Bengal: Challenges for coastal agriculture. Plant Science Today, 12(sp1), 01–11. https://doi.org/10.14719/pst.11369
Sengupta, D., Raj, G. N. B., & Shenoi, S. S. C. (2006). Surface freshwater from Bay of Bengal runoff and Indonesian throughflow in the tropical Indian Ocean. Geophysical Research Letters, 33(22), L22609. https://doi.org/10.1029/2006GL027573
Sharma, S., Kumar, A., & Chakraborty, A. (2024). Intensification of heatwave conditions during Cyclone Mocha in 2023. Weather, 79(7), 220–223. https://doi.org/10.1002/wea.4553
Shay, L. K., Goni, G. J., & Black, P. G. (2000). Effects of a warm oceanic feature on Hurricane Opal. Monthly Weather Review, 128(5), 1366–1383. https://doi.org/10.1175/1520-0493(2000)128<1366:EOAWOF>2.0.CO;2
Shenoi, S. S. C., Shankar, D., & Shetye, S. R. (2002). Differences in heat budgets of the near-surface Arabian Sea and Bay of Bengal: Implications for the summer monsoon. Journal of Geophysical Research: Oceans, 107(C6), 3052. https://doi.org/10.1029/2000JC000679
Shetye, S. R., Gouveia, A. D., Shankar, D., Shenoi, S. S. C., Vinaychandran, P. N., Sundar, D., Michael, G. S., & Nampoothiri, G. (1996). Hydrography and circulation in the western Bay of Bengal during the northeast monsoon. Journal of Geophysical Research, 101(C7), 14(011–14), 025. https://doi.org/10.1029/95JC03307
Singh, V. K., & Roxy, M. K. (2022). A review of ocean-atmosphere interactions during tropical cyclones in the north Indian Ocean. Earth-Science Reviews, 228, 103967. https://doi.org/10.1016/j.earscirev.2022.103967
Srinivas, C. V., Mohan, G. M., Bhaskar Rao, D. V., Baskaran, R., & Venkatraman, B. (2016). Numerical simulations with WRF to study the impact of sea surface temperature on the evolution of tropical cyclones over Bay of Bengal. Tropical cyclone activity over the North Indian Ocean (pp. 259–271). Springer.
Subbaramayya, I., & Rao, S. R. M. (1984). Frequency of Bay of Bengal cyclones in the post-monsoon season. Monthly Weather Review, 112(8), 1640–1642. https://doi.org/10.1175/1520-0493(1984)112<1640:FOBOBC>2.0.CO;2
Suda, K. (1943). Kaiyō Kagaku (The science of the sea). Kokin Shoin.
Telford, W. M., Geldart, L. P., & Sheriff, R. E. (1990). Applied geophysics. Cambridge University Press.
Thorand, S. (2022). Testing statistical hypotheses using parametric tests. GRIN Verlag.
Vinayachandran, P. N., & Mathew, S. (2003). Phytoplankton bloom in the Bay of Bengal during the northeast monsoon and its intensification by cyclones. Geophysical Research Letters, 30(11), 1572. https://doi.org/10.1029/2002GL016717
Vinayachandran, P. N., Murty, V. S. N., & Ramesh Babu, V. (2002). Observations of barrier layer formation in the Bay of Bengal during the summer monsoon. Journal of Geophysical Research: Oceans, 107(C12), 8018. https://doi.org/10.1029/2001JC000831
Vissa, N. K., Satyanarayana, A. N. V., & Kumar, B. P. (2013). Response of upper ocean and impact of barrier layer on Sidr cyclone induced sea surface cooling. Ocean Science Journal, 48(3), 279–288. https://doi.org/10.1007/s12601-013-0026-x
Walker, N. D., Leben, R. R., & Balasubramanian, S. (2005). Hurricane-forced upwelling and chlorophyll a enhancement within cold-core cyclones in the Gulf of Mexico. Geophysical Research Letters, 32(18). https://doi.org/10.1029/2005GL023716
Wang, G., Wu, L., Johnson, N. C., & Ling, Z. (2016). Observed three-dimensional structure of ocean cooling induced by Pacific tropical cyclones. Geophysical Research Letters, 43(14), 7632–7638. https://doi.org/10.1002/2016GL069605
Wang, S., Song, J., Guo, J., Fu, Y., Cai, Y., & Wang, L. (2024). The investigation of the response mechanism of SST and chlorophyll to super typhoon “Rey” in the South China Sea. Water, 16(4), 603. https://doi.org/10.3390/w16040603
Webster, P. J., Holland, G. J., Curry, J. A., & Chang, H.-R. (2005). Changes in tropical cyclone number, duration, and intensity in a warming environment. Science, 309(5742), 1844–1846. https://doi.org/10.1126/science.1116448
World Bank. (2023, August 7). Extremely severe cyclonic storm mocha, May 2023, Myanmar: Global Rapid Post-Disaster Damage Estimation (GRADE) Report. https://www.worldbank.org/en/country/myanmar/publication/globalrapid-post-disaster-damage-estimation-grade-report
World Meteorological Organization. (2025). Tropical cyclone. Retrieved from https://wmo.int/topics/tropical-cyclone
Xia, C., Lü, H., Huang, H., Xia, Y., Chen, Z., Ding, X., & Ning, W. (2023). Drastic hydrodynamic changes in the western Bay of Bengal caused by tropical cyclone Nada. Journal of Sea Research, 194, 102409. https://doi.org/10.1016/j.seares.2023.102409
Yu, J., Lv, H., Tan, S., & Wang, Y. (2023). Tropical cyclone-induced sea surface temperature responses in the northern Indian Ocean. Journal of Marine Science and Engineering, 11(11), 2196. https://doi.org/10.3390/jmse11112196
Zhang, Y., Yue, S., Xu, K., Zhang, Z., Zhou, L., & Zhang, Y. (2023). Performance analysis of global HYCOM flow field using Argo profiles. International Journal of Digital Earth, 16(1), 3536–3559. https://doi.org/10.1080/17538947.2023.2252407
Zhao, Z., Zhou, J., & Du, H. (2022). Artificial Intelligence powered forecast of oceanic mesoscale phenomena: A typhoon cold wake case occurring in Northwest Pacific Ocean. Future Generation Computer Systems, 129(C), 389–398. https://doi.org/10.1016/j.future.2021.10.031
