Impact of Initial and Boundary Conditions on Coupled Model Simulations for Bay of Bengal

References

• Amol, P., P. N. Vinayachandran, D. Shankar, V. Thushara, V. Vijith, A. Chatterjee, and A. Kankonkar. 2020. Effect of freshwater advection and winds on the vertical structure of chlorophyll in the Northern Bay of Bengal. In Deep-sea research part II: Topical studies in oceanography 179:104622. https://doi.org/https://doi.org/10.1016/j.dsr2.2019.07.010.
   Google Scholar
• Aumont, O., and L. Bopp. 2006. Globalizing results from ocean in situ iron fertilization studies. Global Biogeochemical Cycles 20:GB2017. doi: https://doi.org/http://dx.doi.org/10.1029/2005GB00259.
   Web of Science ®Google Scholar
• Bhagawati, C., S. Pandey, S. Dandapat, and A. Chakraborty. 2018. Dynamical significance of tides over the Bay of Bengal. Dynamics of Atmospheres and Oceans 82 (2010):89–106..
   Web of Science ®Google Scholar
• Chakraborty, A., and A. Gangopadhyay. 2016. Development of a high-resolution multiscale modeling and prediction system for Bay of Bengal, part I: Climatology-based simulations. Open Journal of Marine Science 06 (01):145–76..
   Google Scholar
• Chatterjee, A., D. Shankar, S. S. C. Shenoi, G. V. Reddy, G. S. Michael, M. Ravichandran, V. V. Gopalkrishna, E. P. Rama Rao, T. V. S. Udaya Bhaskar, and V. N. Sanjeevan. 2012. A new atlas of temperature and salinity for the North Indian Ocean. Journal of Earth System Science 121 (3):559–93..
   Web of Science ®Google Scholar
• Chauhan, P., M. Mohan, R. K. Sarngi, B. Kumari, S. Nayak, and S. G. P. Matondkar. 2002. Surface chlorophyll a estimation in the Arabian Sea using IRS-P4 ocean colour monitor (OCM) satellite data. International Journal of Remote Sensing 23 (8):1663–76.
   Web of Science ®Google Scholar
• Chen, J., M. Zhang, T. Cui, and Z. Wen. 2013. A review of some important technical problems in respect of satellite remote sensing of chlorophyll-a concentration in coastal waters. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6 (5):2275–89.
   Web of Science ®Google Scholar
• Cheng, X., S. P. Xie, J. P. McCreary, Y. Qi, and Y. Du. 2013. Intraseasonal variability of sea surface height in the Bay of Bengal. Journal of Geophysical Research: Oceans 118 (2):816–30..
   Web of Science ®Google Scholar
• Da Silva, A. M., C. C. Young, and S. Levitus. 1994. Atlas of surface marine data. Vol. 1, Algorithms and Procedures, NOAA Atlas NESDIS 6, U.S. Department of Commerce, NOAA, NESDIS, Washington, DC.
   Google Scholar
• Dai, A., and K. E. Trenberth. 2002. Estimates of freshwater discharge from continents: Latitudinal and seasonal variations. Journal of Hydrometeorology 3 (6):660–87.
   Web of Science ®Google Scholar
• Dey, S. P., M. K. Dash, K. Sasmal, S. Jana, and N. J. Raju. 2020. Impact of river runoff on seasonal sea level, Kelvin waves, and East India Coastal Current in the Bay of Bengal : A numerical study using ROMS. Regional Studies in Marine Science 35:101214..
   Web of Science ®Google Scholar
• Dugdale, R. C., and J. J. Goering. 1967. Uptake of new and regenerated forms of nitrogen in primary productivity. Limnology and Oceanography 12 (2):196–206.
   Web of Science ®Google Scholar
• Egbert, G., and S. Erofeeva. 2002. Efficient inverse modeling of barotropic ocean tides. Journal of Atmospheric and Oceanic Technology 19 (2):183–204.
   Web of Science ®Google Scholar
• Eppley, R. W., and B. J. Peterson. 1979. Particulate organic matter flux and planktonic new production in the deep ocean. Nature 282 (5740):677–80.
   Web of Science ®Google Scholar
• Fairall, C. W., E. F. Bradley, J. E. Hare, A. A. Grachev, and J. B. Edson. 2003. Bulk parameterization of air – sea fluxes: Updates and verification for the COARE algorithm. Journal of Climate 16 (4):571–91.
   Web of Science ®Google Scholar
• Fairall, C. W., E. F. Bradley, D. P. Rogers, J. B. Edson, and G. S. Young. 1996. Bulk parameterization of air-sea fluxes for tropical oceanglobal atmosphere coupled-ocean atmosphere response experiment. Journal of Geophysical Research: Oceans 101 (C2):3747–64..
   Web of Science ®Google Scholar
• Fasham, M. J. R., H. W. Ducklow, and S. M. McKelvie. 1990. A nitrogen-based model of plankton dynamics in the oceanic mixed layer. Journal of Marine Research 48 (3):591–639..
   Web of Science ®Google Scholar
• Girishkumar, M. S., M. Ravichandran, and W. Han. 2013. Observed intraseasonal thermocline variability in the Bay of Bengal. Journal of Geophysical Research: Oceans 118 (7):3336–49..
   Web of Science ®Google Scholar
• Girishkumar, M. S., M. Ravichandran, and V. Pant. 2012. Observed chlorophyll-a bloom in southern Bay of Bengal during winter 2006–07. International Journal of Remote Sensing 33 (4):1264–75.
   Web of Science ®Google Scholar
• Gohin, F. 2011. Annual cycles of chlorophyll-a, non-algal suspended particulate matter, and turbidity observed from space and in-situ in coastal waters. Ocean Science 7 (5):705–32. http://www.ocean-sci.net/7/705/2011/os-7-705-2011.pdf.
   Web of Science ®Google Scholar
• Gomes, H. R., J. I. Goes, and T. Saino. 2000. Influence of physical processes and freshwater discharge on the seasonality of phytoplankton regime in the Bay of Bengal. Continental Shelf Research 20 (3):313–30..
   Web of Science ®Google Scholar
• Good, S. A., M. J. Martin, and N. A. Rayner. 2013. EN4: Quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates. Journal of Geophysical Research: Oceans 118 (12):6704–16.
   Web of Science ®Google Scholar
• Gouretski, V., and F. Reseghetti. 2010. On depth and temperature biases in bathythermograph data: Development of a new correction scheme based on analysis of a global ocean database. Deep-Sea Research I 57:6. doi: https://doi.org/http://dx.doi.org/10.1016/j.dsr.2010.03.011.
   Web of Science ®Google Scholar
• Gutknecht, E., I. Dadou, B. Le Vu, G. Cambon, J. Sudre, V. Garçon, E. Machu, T. Rixen, A. Kock, A. Flohr, et al. 2013. Coupled physical/bio- geochemical modeling including O2-dependent processes in Eastern Boundary Upwelling Systems: Application in the Benguela. Biogeosciences 10 (6):3559–91. doi: https://doi.org/http://dx.doi.org/10.5194/bg-10-3559-2013.
   Web of Science ®Google Scholar
• Haidvogel, D. B., H. G. Arango, K. Hedstrom, A. Beckmann, P. Malanotte-Rizzoli, and A. F. Shchepetkin. 2000. Model evaluation experiments in the North Atlantic Basin: Simulations in nonlinear terrain-following coordinates. Dynamics of Atmospheres and Oceans 32 (3-4):239–81.. (00)00049-X.
   Web of Science ®Google Scholar
• Hedstorm, K. S. 1997. User’s manual for an S-coordinate primitive equation ocean circulation model (SCRUM) version 3.0. Institute of Marine and Coastal Sciences , Rutgers University, 116 pp.
   Google Scholar
• Jana, S., A. Gangopadhyay, and A. Chakraborty. 2015. Impact of seasonal river input on the Bay of Bengal simulation. Continental Shelf Research 104:45–62..
   Web of Science ®Google Scholar
• Jana, S., A. Gangopadhyay, P. F. J. Lermusiaux, A. Chakraborty, S. Sil, and P. J. Haley. 2018. Sensitivity of the Bay of Bengal upper ocean to different winds and river input conditions. Journal of Marine Systems 187 (August):206–22..
   Web of Science ®Google Scholar
• Kara, A. B., P. A. Rochford, and H. E. Hurlburt. 2000. An optimal definition for ocean mixed layer depth. Journal of Geophysical Research: Oceans 105 (C7):16803–21..
   Web of Science ®Google Scholar
• Koné, V., E. Machu, P. Penven, V. Andersen, V. Garçon, P. Fréon, and H. Demarcq. 2005. Modeling the primary and secondary productions of the southern Benguela upwelling system: A comparative study through two biogeochemical models. Global Biogeochemical Cycles 19 (4):1–22..
   Web of Science ®Google Scholar
• Kumar, S. P., M. Nuncio, J. Narvekar, A. Kumar, S. Sardesai, S. N. De Souza, M. Gauns, N. Ramaiah, and M. Madhupratap. 2004. Are eddies nature’s trigger to enhance biological productivity in the Bay of Bengal? Geophysical Research Letters 31 (7):2–6..
   Web of Science ®Google Scholar
• Langa, A. A. A., and P. H. R. Calil. 2020. On the role of physical processes on the surface chlorophyll variability in the Northern Mozambique Channel. Ocean Dynamics 70 (1):95–114..
   Web of Science ®Google Scholar
• Large, W. G., J. C. McWilliams, and S. C. Doney. 1994. Oceanic vertical mixing: A review and a model with a nonlocal boundary layer parameterization. Reviews of Geophysics 32 (4):363–403..
   Web of Science ®Google Scholar
• Large, W. G., and S. Yeager. 2004. Diurnal to decadal global forcing for ocean and sea-ice models: The data sets and flux climatologies. No. NCAR/TN-460 + STR, University Corporation for Atmospheric Research.
   Google Scholar
• Lermusiaux, P. F. J., and A. R. Robinson. 2001. Features of dominant mesoscale variability, circulation patterns and dynamics in the strait of Sicily. Deep Sea Research Part I: Oceanographic Research Papers 48 (9):1953–97.. (00)00114-X.
   Web of Science ®Google Scholar
• Li, W., L. Li, M. Ting, and Y. Liu. 2012. Intensification of northern hemisphere subtropical highs in a warming climate. Nature Geoscience 5 (11):830–4.
   Web of Science ®Google Scholar
• Madhu, N. V., R. Jyothibabu, P. A. Maheswaran, V. John Gerson, T. C. Gopalakrishnan, and K. K. C. Nair. 2006. Lack of seasonality in phytoplankton standing stock (Chlorophyll a) and production in the western Bay of Bengal. Continental Shelf Research 26 (16):1868–83..
   Web of Science ®Google Scholar
• Madhupratap, M., M. Gauns, N. Ramaiah, S. Prasanna Kumar, P. M. Muraleedharan, S. N. De Sousa, S. Sardessai, and U. Muraleedharan. 2003. Biogeochemistry of the Bay of Bengal: Physical, chemical and primary productivity characteristics of the central and western Bay of Bengal during summer monsoon 2001. Deep Sea Research Part II: Topical Studies in Oceanography 50 (5):881–96..
   Web of Science ®Google Scholar
• Majewski, D. 1997. Operational regional prediction. Meteorology and Atmospheric Physics 63 (1-2):89–104..
   Web of Science ®Google Scholar
• Mallick, S. K., N. Agarwal, R. Sharma, K. V. S. R. Prasad, and S. S. V. S. Ramakrishna. 2020. Thermodynamic response of a high-resolution tropical Indian Ocean model to TOGA COARE bulk air–sea flux parameterization: Case study for the Bay of Bengal (BoB). Pure and Applied Geophysics 177 (8):4025–44..
   Web of Science ®Google Scholar
• Manyilizu, M., F. Dufois, P. Penven, and C. Reason. 2014. Interannual variability of sea surface temperature and circulation in the tropical western Indian Ocean. African Journal of Marine Science 36 (2):233–52..
   Web of Science ®Google Scholar
• Marchesiello, P., J. C. McWilliams, and A. Shchepetkin. 2001. Open boundary conditions for long-term integration of regional oceanic models. Ocean Modelling 3 (1-2):1–20..
   Web of Science ®Google Scholar
• Mccreary, J. P., K. E. Kohler, R. R. Hood, and D. B. Olson. 1996. A four-component ecosystem model of biological activity in the Arabian Sea. Progress in Oceanography 37 (3-4):193–240. http://www.scopus.com/inward/record.url?eid=2-s2.0-0030426156&partnerID=tZOtx3y1.
   Web of Science ®Google Scholar
• Mohanty, U. C., K. K. Osuri, A. Routray, M. Mohapatra, and S. Pattanayak. 2010. Simulation of Bay of Bengal tropical cyclones with Wrf model: Impact of initial and boundary conditions. Marine Geodesy 33 (4):294–314..
   Web of Science ®Google Scholar
• Moore, J. K., K. Lindsay, S. Doney, M. Long, and K. Misumi. 2013. Marine ecosystem dynamics and biogeochemical cycling in the community Earth System Model1 (BGC): comparison of the 1990s with the 2090s under the RCP4.5 and RCP8.5 scenarios. Journal of Climate 26 (23):9291–312.
   Web of Science ®Google Scholar
• Murty, V. S. N., M. S. S. Sarma, and V. Tilvi. 2000. Seasonal cyclogenesis and the role of near surface stratified layer in the Bay of Bengal. PORSEC Proceedings, May.
   Google Scholar
• Narvekar, J., and S. P. Kumar. 2014. Mixed layer variability and chlorophyllabiomass in the Bay of Bengal. Biogeosciences 11 (14):3819–43..
   Web of Science ®Google Scholar
• NGDC. 1988. Data announcement 88-MG-02: Digital relief of the surface of the Earth. Boulder, CO: NOAA, National Geophysics Data Center.
   Google Scholar
• Omand, M. M., and A. Mahadevan. 2015. The shape of the oceanic nitracline. Biogeosciences 12 (11):3273–87..
   Web of Science ®Google Scholar
• Orlanski, I. 1976. A simple boundary condition for unbounded hyperbolic flows. Journal of Computational Physics 21 (3):251–69..
   Web of Science ®Google Scholar
• Patel, S., M. Vithalpura, S. Kumar Mallick, and S. Ratheesh. 2020. Temporal and spatial variations of monsoonal upwelling along the south west and east coasts of India. Marine Geodesy 43 (4):414–32..
   Web of Science ®Google Scholar
• Penven, P., J. R. E. Lutjeharms, and P. Florenchie. 2006. Madagascar: A pacemaker for the Agulhas current system? Geophysical Research Letters 33 (17):1–5..
   Web of Science ®Google Scholar
• Pielke, R. A., T. Matsui, G. Leoncini, T. Nobis, and U. Nair. 2006. A new paradigm for parameterizations in numerical weather prediction and other atmospheric models. National Weather Digest 30:93–9.
   Google Scholar
• Poddar, S., N. Chacko, and D. Swain. 2019. Estimation of Chlorophyll-a in northern coastal Bay of Bengal using Landsat-8 OLI and Sentinel-2 MSI sensors. Frontiers in Marine Science 6:598.
   Web of Science ®Google Scholar
• Pramanik, S., S. Sil, A. Gangopadhyay, M. K. Singh, and N. Behera. 2020. Interannual variability of the Chlorophyll-a concentration over Sri Lankan Dome in the Bay of Bengal. International Journal of Remote Sensing 41 (15):5974–91..
   Web of Science ®Google Scholar
• Prasanna Kumar, S., P. M. Muraleedharan, T. G. Prasad, M. Gauns, N. Ramaiah, S. N. De Souza, S. Sardesai, and M. Madhupratap. 2002. Why is the Bay of Bengal less productive during summer monsoon compared to the Arabian Sea? Geophysical Research Letters 29 (24):2235..
   Web of Science ®Google Scholar
• Schott, F. A., S. P. Xie, and J. P. McCreary. 2009. Indian Ocean circulation and climate variability. Reviews of Geophysics 47 (1):1–46..
   Web of Science ®Google Scholar
• Shenoi, S. S. C., D. Shankar, and S. R. Shetye. 2002. Differences in heat budgets of the near-surface Arabian Sea and Bay of Bengal: Implications for the summer monsoon. Journal of Geophysical Research 107 (C6):3052..
   Web of Science ®Google Scholar
• Sil, S., and A. Chakraborty. 2011. Simulation of East India Coastal features and validation with satellite altimetry and drifter climatology. The International Journal of Ocean and Climate Systems 2 (4):279–89..
   Google Scholar
• Steele, J. H. 1974. The structure of marine ecosystems. Cambridge, MA: Harvard University Press, 128 pp.
   Google Scholar
• Taylor, K. E. 2001. Summarizing multiple aspects of model performance in a single diagram. Journal of Geophysical Research: Atmospheres 106 (D7):7183–92.
   Web of Science ®Google Scholar
• Thushara, V., and P. N. Vinayachandran. 2016. Formation of summer phytoplankton bloom in the northwestern Bay of Bengal in a coupled physical-ecosystem model. Journal of Geophysical Research: Oceans 121 (12):8535–50..
   Web of Science ®Google Scholar
• Thushara, V., P. N. M. Vinayachandran, A. J. Matthews, B. G. M. Webber, and B. Y. Queste. 2019. Vertical distribution of chlorophyll in dynamically distinct regions of the southern Bay of Bengal. Biogeosciences 16 (7):1447–68..
   Web of Science ®Google Scholar
• Umaroh, A. Sutrisno, and Muslim. 2016. The dynamics of sea surface height and geostrophic current in the Arafura Sea. Paper presented at the 2nd International Conference on Tropical and Coastal Region Eco Development 2016. Vol. 55.
   Google Scholar
• Vic, C., X. Capet, G. Roullet, and X. Carton. 2017. Western boundary upwelling dynamics off Oman. Ocean Dynamics 67 (5):585–95..
   Web of Science ®Google Scholar
• Vinayachandran, P. N. 2009. Impact of physical processes on chlorophyll distribution in the Bay of Bengal. Geophysical Monograph Series 185:71–86..
   Google Scholar
• Vinayachandran, P. N., and S. Mathew. 2003. Phytoplankton bloom in the Bay of Bengal during the northeast monsoon and its intensification by cyclones. Geophysical Research Letters 30 (11):1999–2002..
   Web of Science ®Google Scholar
• Vinayachandran, P. N., J. P. McCreary, R. R. Hood, and K. E. Kohler. 2005. A numerical investigation of the phytoplankton bloom in the Bay of Bengal during northeast monsoon. Journal of Geophysical Research 110 (C12):1–14..
   Web of Science ®Google Scholar
• Wilkin, J. L., H. G. Arango, D. B. Haidvogel, C. Sage Lichtenwalner, S. M. Glenn, and K. S. Hedström. 2005. A regional ocean modeling system for the long-term ecosystem observatory. Journal of Geophysical Research 110 (C6):1–13..
   Web of Science ®Google Scholar
• Wroblewski, J. S. 1989. A model of the spring bloom in the North Atlantic and its impact on ocean optics. Limnology and Oceanography 34 (8):1563–1571. https://doi.org/http://dx.doi.org/10.4319/lo.1989.34.8.1563
   Web of Science ®Google Scholar
• Yang, Q., L. Zhou, J. Tian, and W. Zhao. 2014. The roles of Kuroshio intrusion and mesoscale eddy in upper mixing in the northern South China Sea. Journal of Coastal Research 30:192–8.. TRES- D-13-00012.1
   Web of Science ®Google Scholar
• Yoon, J.-E., J.-H. Lim, S. Son, S.-H. Youn, H.-J. Oh, J.-D. Hwang, J.-I. Kwon, S.-S. Kim, and I.-N. Kim. 2019. Assessment of satellite-based chlorophyll-a algorithms in eutrophic Korean coastal waters: Jinhae Bay case study. Frontiers in Marine Science 6:359.
   Web of Science ®Google Scholar
• Zhang, Y., W. B. Rossow, A. A. Lacis, V. Oinas, and M. I. Mishchenko. 2004. Calculation of radiative fluxes from the surface to top of atmo- sphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data. Journal of Geophysical Research 109 (D19):D19105.
   Web of Science ®Google Scholar