Assessing the Seasonal Variation of Chl-a, Daytime SST and Nighttime SST in the Bay of Bengal and their Relations Using Ocean Color Remote Sensing Data

H.E. Alam¹ , M.Y. Yeasir² , K.T. Tawkir³ , M.N. Uddin⁴

Section:Research Paper, Product Type: Journal-Paper
Vol.7 , Issue.9 , pp.53-59, Sep-2021

Online published on Sep 30, 2021

Copyright © H.E. Alam, M.Y. Yeasir, K.T. Tawkir, M.N. Uddin . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Globally, Chl-a and SST play essential roles in primary production. However, the relation and seasonal contrast are unclear between Chl-a with daytime SST and nighttime SST in the world ocean. Satellite-derived data from MODIS-aqua sensors were analyzed to identify the season-wise variation and correlation patterns between oceanic physical factors (SST) and marine biological elements (marine Chl-a concentration). We found systematic seasonal variations in the daytime, and nighttime SST, where the minimum temperature was obtained during the wintertime, and maximum temperature was found during the spring, average highest and lowest temperature were 29.72?C and 27.62?C in the daytime and 29.57?C and 27.54?C in the nighttime, respectively. We also observed minute differences in oceanic Chl-a concentration right through the year. The minimum concentration seen in the spring and maximum in the summer season was about 5.75 mg/m3. However, summer and autumn showed the same highest average concentration of 0.31mg/m3. The relation between SST (daytime and nighttime) and Chl-a data was examined. The daytime and nighttime SST were negatively associated with Chl-a in the autumn to winter seasons, which means Chl-a concentration declined with SST increase. Apart from the rest, during the summer season, the correlation shows a slightly positive trend. These findings could be helpful for further study on BOB regional physical parameter’s responses to the biosphere.

Key-Words / Index Term :
Chlorophyll-a, Sea surface Temperature, Bay of Bengal, MODIS, Ocean Color Remote sensing

References :
[1] D. M. Sigman and M. P. Hain, “The biological productivity of the ocean,” Nature Education Knowledge, vol. 3, no. 6, p. 21, 2012.
[2] P. Chauhan, M. Mohan, R. K. Sarngi, B. Kumari, S. Nayak, and S. G. P. Matondkar, “Surface chlorophyll a estimation in the Arabian Sea using IRS-P4 Ocean Colour Monitor (OCM) satellite data,” International Journal of Remote Sensing, vol. 23, no. 8, pp. 1663–1676, 2002.
[3] S. Sathyendranath, A. D. Gouveia, S. R. Shetye, P. Ravindran, and T. Platt, “Biological control of surface temperature in the Arabian Sea,” Nature, vol. 349, no. 6304, pp. 54–56, 1991.
[4] F. Boscolo-Galazzo, K. A. Crichton, S. Barker, and P. N. Pearson, “Temperature dependency of metabolic rates in the upper ocean: A positive feedback to global climate change?,” Global and Planetary Change, vol. 170, pp. 201–212, 2018.
[5] R. Bhagat, R. Patel, H. Salvi, and R. D. Kamboj, “Diversity and Distribution of Phytoplankton at selected sites of Jamnagar coast, Gujarat, India,” International Journal of Scientific Research in Biological Sciences, vol. 6, no. 5, pp. 19–25, 2019.
[6] C. Lalli and T. R. Parsons, Biological oceanography: an introduction. Elsevier, 1997.
[7] J. A. Gittings, D. E. Raitsos, G. Krokos, and I. Hoteit, “Impacts of warming on phytoplankton abundance and phenology in a typical tropical marine ecosystem,” Science Repository, vol. 8, no. 1, p. 2240, 2018.
[8] M. T. Kavak and S. Karadogan, “The relationship between sea surface temperature and chlorophyll concentration of phytoplanktons in the Black Sea using remote sensing techniques,” Journal of environmental biology, vol. 33, no. 2, p. 493, 2012.
[9] S. Prasanna Kumar et al., “Eddy-mediated biological productivity in the Bay of Bengal during fall and spring intermonsoons,” Deep Sea Research Part I: Oceanographic Research Papers, vol. 54, no. 9, pp. 1619–1640, 2007.
[10] N. A. Sweijd and A. J. Smit, “Trends in sea surface temperature and chlorophyll-a in the seven African Large Marine Ecosystems,” Environmental Development, vol. 36, p. 100585, 2020.
[11] S. Khan et al., “Variability of SST and ILD in the Arabian Sea and Sea of Oman in Association with the Monsoon Cycle,” Mathematical Problems in Engineering, vol. 2021, p. e9958257, 2021.
[12] S.-H. Yoo, S. Yang, and C.-H. Ho, “Variability of the Indian Ocean sea surface temperature and its impacts on Asian-Australian monsoon climate,” Journal of Geophysical Research: Atmospheres, vol. 111, no. D3, 2006.
[13] D. L. Hartmann, “The Global Energy Balance,” in Global Physical Climatology (Second Edition), D. L. Hartmann, Ed. Boston: Elsevier, pp. 25–48, 2016.
[14] G. Wei, D. Tang, and S. Wang, “Distribution of chlorophyll and harmful algal blooms (HABs): A review on space based studies in the coastal environments of Chinese marginal seas,” Advances in Space Research, vol. 41, no. 1, pp. 12–19, 2008.
[15] J. Kämpf and P. Chapman, Upwelling systems of the world. Springer, 2016.
[16] P. M. Glibert, A. H. Beusen, J. A. Harrison, H. H. Dürr, A. F. Bouwman, and G. G. Laruelle, “Changing land-, sea-, and airscapes: sources of nutrient pollution affecting habitat suitability for harmful algae,” in Global Ecology and Oceanography of Harmful Algal Blooms, Springer, pp. 53–76, 2018.
[17] S. O’Boyle, “Oxygen Depletion in Coastal Waters and the Open Ocean: Hypoxia and Anoxia Cases and Consequences for Biogeochemical Cycling and Marine Life,” in Coastal and Deep Ocean Pollution, CRC Press, pp. 41–67, 2020.
[18] Y. H. Ahn, P. Shanmugam, J.-H. Ryu, and J.-C. Jeong, “Satellite detection of harmful algal bloom occurrences in Korean waters,” Harmful Algae, vol. 5, no. 2, pp. 213–231, 2006.
[19] D. A. Lemley, J. B. Adams, and G. M. Rishworth, “Unwinding a tangled web: a fine-scale approach towards understanding the drivers of harmful algal bloom species in a eutrophic South African estuary,” Estuaries and Coasts, vol. 41, no. 5, pp. 1356–1369, 2018.
[20] A. Mtetandaba, “The use of operational harmful algal bloom monitoring systems in South Africa to assess long term changes to bloom occurrence & impacts for aquaculture,” 2021.
[21] H. W. Paerl, “Assessing and managing nutrient-enhanced eutrophication in estuarine and coastal waters: Interactive effects of human and climatic perturbations,” Ecological Engineering, vol. 26, no. 1, pp. 40–54, 2006.
[22] S. Nurdin, M. Mustapha, and T. Lihan, “The relationship between sea surface temperature and chlorophyll-a concentration in fisheries aggregation area in the archipelagic waters of Spermonde using satellite images,” vol. 1571, no. 1, pp. 466–472, 2013.
[23] M. H. Gholizadeh, A. M. Melesse, and L. Reddi, “A comprehensive review on water quality parameters estimation using remote sensing techniques,” Sensors, vol. 16, no. 8, p. 1298, 2016.
[24] M. J. Haenssgen, “Satellite-aided survey sampling and implementation in low- and middle-income contexts: a low-cost/low-tech alternative,” Emerging Themes in Epidemiology, vol. 12, no. 1, p. 20, 2015.
[25] A. C. Miller et al., “Feasibility of satellite image and GIS sampling for population representative surveys: a case study from rural Guatemala,” International Journal of Health Geographics, vol. 19, no. 1, p. 56, 2020.
[26] K. L. Carder, F. R. Chen, J. P. Cannizzaro, J. W. Campbell, and B. G. Mitchell, “Performance of the MODIS semi-analytical ocean color algorithm for chlorophyll-a,” Advances in Space Research, vol. 33, no. 7, pp. 1152–1159, 2004.
[27] S. Groom et al., “Satellite Ocean Colour: Current Status and Future Perspective,” Frontiers in Marine Science, vol. 6, p. 485, 2019.
[28] A. G. O’Carroll et al., “Observational Needs of Sea Surface Temperature,” Frontiers in Marine Science, vol. 6, p. 420, 2019.
[29] H. M. Benway et al., “Ocean Time Series Observations of Changing Marine Ecosystems: An Era of Integration, Synthesis, and Societal Applications,” Frontiers in Marine Science, vol. 6, p. 393, 2019.
[30] A. Melet et al., “Earth Observations for Monitoring Marine Coastal Hazards and Their Drivers,” Surv Geophys, vol. 41, no. 6, pp. 1489–1534, 2020.
[31] Md. E. Hoque, Md. Y. Arafat, Md. N. Uddin, H. E. Alam, and K. T. Ahmed, “Rapid assessment of SST and Chlorophyll concentration variability due to cyclone Bulbul in the Bay of Bengal using remotely sensed satellite image data,” Climatology (Global Change), 2020.
[32] I. Khalil, C. M. Mannaerts, and W. Ambarwulan, “Distribution of chlorophyll-a and sea surface temperature (SST) using MODIS data in East Kalimantan waters, Indonesia,” Journal of Sustainability Science and Management, vol. 4, pp. 125–140, 2009.
[33] E. Martinez et al., “Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach,” Frontiers in Marine Science, vol. 7, p. 464, 2020.
[34] M. J. Behrenfeld et al., “Climate-driven trends in contemporary ocean productivity,” Nature, vol. 444, no. 7120, pp. 752–755, 2006.
[35] R. Bhushan et al., “Evidence for enhanced chlorophyll-a levels in the Bay of Bengal during early north-east monsoon,” J. Oceanogr. Mar. Sci., vol. 9, no. 2, pp. 15–23, 2018.
[36] N. Haëntjens, E. Boss, and L. D. Talley, “Revisiting Ocean Color algorithms for chlorophyll a and particulate organic carbon in the Southern Ocean using biogeochemical floats,” J. Geophys. Res. Oceans, vol. 122, no. 8, pp. 6583–6593, 2017.
[37] M. S. Hossain, S. Sarker, S. M. Sharifuzzaman, and S. R. Chowdhury, “Primary productivity connects hilsa fishery in the Bay of Bengal,” Sci Rep, vol. 10, p. 5659, 2020.
[38] S. Kay, J. Caesar, and T. Janes, “Marine Dynamics and Productivity in the Bay of Bengal,” in Ecosystem Services for Well-Being in Deltas: Integrated Assessment for Policy Analysis, R. J. Nicholls, C. W. Hutton, W. N. Adger, S. E. Hanson, Md. M. Rahman, and M. Salehin, Eds. Cham: Springer International Publishing, pp. 263–275, 2018.
[39] T. A. Okey, G. A. Vargo, S. Mackinson, M. Vasconcellos, B. Mahmoudi, and C. A. Meyer, “Simulating community effects of sea floor shading by plankton blooms over the West Florida Shelf,” Ecological Modelling, vol. 172, no. 2–4, pp. 339–359, 2004.
[40] R. J. Brewin, T. Hirata, N. J. Hardman-Mountford, S. J. Lavender, S. Sathyendranath, and R. Barlow, “The influence of the Indian Ocean Dipole on interannual variations in phytoplankton size structure as revealed by Earth Observation,” Deep Sea Research Part II: Topical Studies in Oceanography, vol. 77, pp. 117–127, 2012.
[41] J. Holt, M. Butenschön, S. Wakelin, Y. Artioli, and J. Allen, “Oceanic controls on the primary production of the northwest European continental shelf: model experiments under recent past conditions and a potential future scenario,” Biogeosciences, vol. 9, no. 1, pp. 97–117, 2012.
[42] S. P. Milroy, “A three-dimensional biophysical model of light, nutrient, and grazing controls on phytoplankton competition affecting red tide maintenance on the west Florida shelf,” 2007.
[43] G. Sahu, K. Satpathy, A. Mohanty, and S. Sarkar, “Variations in community structure of phytoplankton in relation to physicochemical properties of coastal waters, southeast coast of India,” 2012.
[44] J. Letelier, O. Pizarro, and S. Nuñez, “Seasonal variability of coastal upwelling and the upwelling front off central Chile,” Journal of Geophysical Research: Oceans, vol. 114, no. C12, 2009.
[45] J. A. Yoder and M. A. Kennelly, “Seasonal and ENSO variability in global ocean phytoplankton chlorophyll derived from 4 years of SeaWiFS measurements,” Global Biogeochemical Cycles, vol. 17, no. 4, 2003.
[46] F. Lisboa, V. Brotas, F. D. Santos, S. Kuikka, L. Kaikkonen, and E. E. Maeda, “Spatial Variability and Detection Levels for Chlorophyll-a Estimates in High Latitude Lakes Using Landsat Imagery,” Remote Sensing, vol. 12, no. 18, p. 2898, 2020.
[47] S. Kaliraj, N. Chandrasekar, and N. Magesh, “Evaluation of coastal erosion and accretion processes along the southwest coast of Kanyakumari, Tamil Nadu using geospatial techniques,” Arabian Journal of Geosciences, vol. 8, no. 1, pp. 239–253, 2015.
[48] G. S. Kumar, S. Prakash, M. Ravichandran, and A. C. Narayana, “Trends and relationship between chlorophyll- a and sea surface temperature in the central equatorial Indian Ocean,” Remote Sensing Letters, vol. 7, no. 11, pp. 1093–1101, 2016.
[49] M. H. Forget, V. Stuart, and T. Platt, “Remote Sensing in Fisheries and Aquaculture,” 2009.
[50] P. Gernez, S. C. J. Palmer, Y. Thomas, and R. Forster, “Editorial: Remote Sensing for Aquaculture,” Frontiers in Marine Science, vol. 7, p. 1258, 2021.
[51] J. O. Schmidt et al., “Future ocean observations to connect climate, fisheries and marine ecosystems,” Frontiers in Marine Science, vol. 6, p. 550, 2019.
[52] G. Casal, T. Furey, T. Dabrowski, and G. Nolan, “Generating a long-term serise of SST and Chlorophyll-a for the coast of Ireland,” International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2015.
[53] M. Sapiano, C. Brown, S. Schollaert Uz, and M. Vargas, “Establishing a global climatology of marine phytoplankton phenological characteristics,” Journal of Geophysical Research: Oceans, vol. 117, no. C8, 2012.
[54] J. R. Reinfelder, “Carbon concentrating mechanisms in eukaryotic marine phytoplankton,” Annual review of marine science, vol. 3, pp. 291–315, 2011.
[55] V. Stuart, T. Platt, and S. Sathyendranath, “The future of fisheries science in management: a remote-sensing perspective,” ICES Journal of Marine Science, vol. 68, no. 4, pp. 644–650, 2011.
[56] M. E. Smith and S. Bernard, “Satellite ocean color based harmful algal bloom indicators for aquaculture decision support in the southern Benguela,” Frontiers in Marine Science, vol. 7, p. 61, 2020.
[57] M. Zainuddin, “Skipjack tuna in relation to sea surface temperature and chlorophyll-a concentration of Bone Bay using remotely sensed satellite data,” Jurnal Ilmu dan Teknologi Kelautan Tropis, vol. 3, no. 1, 2011.
[58] C. Ji, Y. Zhang, Q. Cheng, J. Tsou, T. Jiang, and X. San Liang, “Evaluating the impact of sea surface temperature (SST) on spatial distribution of chlorophyll-a concentration in the East China Sea,” International journal of applied earth observation and geoinformation, vol. 68, pp. 252–261, 2018.
[59] G. N. Williams et al., “Assessment of remotely-sensed sea-surface temperature and chlorophyll-a concentration in San Matías Gulf (Patagonia, Argentina),” Continental Shelf Research, vol. 52, pp. 159–171, 2013.
[60] K. A. Hussein, K. Al Abdouli, D. T. Ghebreyesus, P. Petchprayoon, N. Al Hosani, and H. O Sharif, “Spatiotemporal Variability of Chlorophyll-a and Sea Surface Temperature, and Their Relationship with Bathymetry over the Coasts of UAE,” Remote Sensing, vol. 13, no. 13, p. 2447, 2021.
[61] B. Nababan, N. Rosyadi, D. Manurung, N. M. Natih, and R. Hakim, “The seasonal variability of sea surface temperature and chlorophyll-a concentration in the south of Makassar Strait,” Procedia Environmental Sciences, vol. 33, pp. 583–599, 2016.
[62] Y. V. B. Sarma, E. P. Rama Rao, P. K. Saji, and V. V. S. S. Sarma, “Hydrography and circulation of the bay of Bengal during withdrawal phase of the southwest Monsoon,” Oceanologica Acta, vol. 22, no. 5, pp. 453–471, 1999.
[63] R. Chowdhury, M. S. Hossain, M. Shamsuddoha, and S. M. M. Khan, “Coastal Fishers’ Livelihood in Peril: Sea Surface Temperature and Tropical Cyclones in Bangladesh,” Center for Participatory Research and Development, 2012.
[64] M. Z. R. Chowdhury, S. C. Basak, and S. Sarker, “Does SST Explain the Seasonal Variability of Chlorophyll in the Upper Indian Ocean?” Bangladesh Maritime Journal, vol. 4, no. 1, p. 14, 2020.
[65] R. Singh, “Comparison of chlorophyll concentration in the Bay of Bengal and the Arabian Sea using IRS-P4 OCM and MODIS Aqua,” Indian Journal of Marine Sciences, vol. 39, 2010.
[66] V. Murty, B. Subrahmanyam, L. Gangadhara Rao, and G. Reddy, “Seasonal variation of sea surface temperature in the Bay of Bengal during 1992 as derived from NOAA-AVHRR SST data,” International Journal of Remote Sensing, vol. 19, no. 12, pp. 2361–2372, 1998.
[67] R. K. Sarangi, S. Nayak, and R. C. Panigrahy, “Monthly variability of chlorophyll and associated physical parameters in the southwest Bay of Bengal water using remote sensing data,” IJMS, vol. 37, no. 3, 2008.
[68] F. Bailleul, J. B. Charrassin, P. Monestiez, F. Roquet, M. Biuw, and C. Guinet, “Successful foraging zones of southern elephant seals from the Kerguelen Islands in relation to oceanographic conditions,” Phil. Trans. R. Soc. B, vol. 362, no. 1487, pp. 2169–2181, 2007.
[69] A. H. Barnard, P. M. Stegmann, and J. A. Yoder, “Seasonal surface ocean variability in the South Atlantic Bight derived from CZCS and AVHRR imagery,” Continental Shelf Research, vol. 17, no. 10, pp. 1181–1206, 1997.
[70] S. C. Doney, “Plankton in a warmer world,” Nature, vol. 444, no. 7120, pp. 695–696, 2006.
[71] S. Prakash and R. Ramesh, “Is the Arabian Sea getting more productive?,” Current Science, vol. 92, no. 5, p. 5, 2007.
[72] P. N. Vinayachandran and N. H. Saji, “Mechanisms of South Indian Ocean intraseasonal cooling,” Geophys. Res. Lett., vol. 35, no. 23, p. L23607, 2008.
[73] P. G. Falkowski and M. J. Oliver, “Mix and match: how climate selects phytoplankton,” Nature reviews microbiology, vol. 5, no. 10, pp. 813–819, 2007.
[74] E. Maranón, P. Cermeno, M. Latasa, and R. D. Tadonléké, “Temperature, resources, and phytoplankton size structure in the ocean,” Limnology and Oceanography, vol. 57, no. 5, pp. 1266–1278, 2012.
[75] X. A. G. Morán, Á. LÓPEZ?URRUTIA, A. CALVO?DÍAZ, and W. K. Li, “Increasing importance of small phytoplankton in a warmer ocean,” Global Change Biology, vol. 16, no. 3, pp. 1137–1144, 2010.
[76] J. M. Rose and D. A. Caron, “Does low temperature constrain the growth rates of heterotrophic protists? Evidence and implications for algal blooms in cold waters,” Limnology and Oceanography, vol. 52, no. 2, pp. 886–895, 2007.
[77] P. Cermeño, S. Dutkiewicz, R. P. Harris, M. Follows, O. Schofield, and P. G. Falkowski, “The role of nutricline depth in regulating the ocean carbon cycle,” Proceedings of the National Academy of Sciences, vol. 105, no. 51, pp. 20344–20349, 2008.
[78] K. M. Boswell et al., “Oceanographic Structure and Light Levels Drive Patterns of Sound Scattering Layers in a Low-Latitude Oceanic System,” Frontiers in Marine Science, vol. 7, p. 51, 2020.
[79] J. Feng et al., “Contrasting correlation patterns between environmental factors and chlorophyll levels in the global ocean,” Global Biogeochemical Cycles, vol. 29, no. 12, pp. 2095–2107, 2015.