Articles | Volume 14, issue 15
https://doi.org/10.5194/bg-14-3615-2017
https://doi.org/10.5194/bg-14-3615-2017
Research article
 | 
01 Aug 2017
Research article |  | 01 Aug 2017

Physical control of interannual variations of the winter chlorophyll bloom in the northern Arabian Sea

Madhavan Girijakumari Keerthi, Matthieu Lengaigne, Marina Levy, Jerome Vialard, Vallivattathillam Parvathi, Clément de Boyer Montégut, Christian Ethé, Olivier Aumont, Iyyappan Suresh, Valiya Parambil Akhil, and Pillathu Moolayil Muraleedharan

Related authors

Satellite data reveal earlier and stronger phytoplankton blooms over fronts in the Gulf Stream region
Clément Haëck, Marina Lévy, Inès Mangolte, and Laurent Bopp
Biogeosciences, 20, 1741–1758, https://doi.org/10.5194/bg-20-1741-2023,https://doi.org/10.5194/bg-20-1741-2023, 2023
Short summary
The representation of alkalinity and the carbonate pump from CMIP5 to CMIP6 Earth system models and implications for the carbon cycle
Alban Planchat, Lester Kwiatkowski, Laurent Bopp, Olivier Torres, James R. Christian, Momme Butenschön, Tomas Lovato, Roland Séférian, Matthew A. Chamberlain, Olivier Aumont, Michio Watanabe, Akitomo Yamamoto, Andrew Yool, Tatiana Ilyina, Hiroyuki Tsujino, Kristen M. Krumhardt, Jörg Schwinger, Jerry Tjiputra, John P. Dunne, and Charles Stock
Biogeosciences, 20, 1195–1257, https://doi.org/10.5194/bg-20-1195-2023,https://doi.org/10.5194/bg-20-1195-2023, 2023
Short summary
Sub-frontal niches of plankton communities driven by transport and trophic interactions at ocean fronts
Inès Mangolte, Marina Lévy, Clément Haëck, and Mark D. Ohman
EGUsphere, https://doi.org/10.5194/egusphere-2023-471,https://doi.org/10.5194/egusphere-2023-471, 2023
Short summary
Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model–data comparison and impact on the ocean carbon cycle
Corentin Clerc, Laurent Bopp, Fabio Benedetti, Meike Vogt, and Olivier Aumont
Biogeosciences, 20, 869–895, https://doi.org/10.5194/bg-20-869-2023,https://doi.org/10.5194/bg-20-869-2023, 2023
Short summary
Linking satellites to genes with machine learning to estimate major phytoplankton groups from space
Roy El Hourany, Juan Pierella Karlusich, Lucie Zinger, Hubert Loisel, Marina Levy, and Chris Bowler
EGUsphere, https://doi.org/10.5194/egusphere-2022-1421,https://doi.org/10.5194/egusphere-2022-1421, 2022
Short summary

Related subject area

Biogeophysics: Physical - Biological Coupling
Satellite data reveal earlier and stronger phytoplankton blooms over fronts in the Gulf Stream region
Clément Haëck, Marina Lévy, Inès Mangolte, and Laurent Bopp
Biogeosciences, 20, 1741–1758, https://doi.org/10.5194/bg-20-1741-2023,https://doi.org/10.5194/bg-20-1741-2023, 2023
Short summary
Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model
Cédric Bacour, Natasha MacBean, Frédéric Chevallier, Sébastien Léonard, Ernest N. Koffi, and Philippe Peylin
Biogeosciences, 20, 1089–1111, https://doi.org/10.5194/bg-20-1089-2023,https://doi.org/10.5194/bg-20-1089-2023, 2023
Short summary
Spatiotemporal lagging of predictors improves machine learning estimates of atmosphere–forest CO2 exchange
Matti Kämäräinen, Juha-Pekka Tuovinen, Markku Kulmala, Ivan Mammarella, Juha Aalto, Henriikka Vekuri, Annalea Lohila, and Anna Lintunen
Biogeosciences, 20, 897–909, https://doi.org/10.5194/bg-20-897-2023,https://doi.org/10.5194/bg-20-897-2023, 2023
Short summary
Phytoplankton reaction to an intense storm in the north-western Mediterranean Sea
Stéphanie Barrillon, Robin Fuchs, Anne A. Petrenko, Caroline Comby, Anthony Bosse, Christophe Yohia, Jean-Luc Fuda, Nagib Bhairy, Frédéric Cyr, Andrea M. Doglioli, Gérald Grégori, Roxane Tzortzis, Francesco d'Ovidio, and Melilotus Thyssen
Biogeosciences, 20, 141–161, https://doi.org/10.5194/bg-20-141-2023,https://doi.org/10.5194/bg-20-141-2023, 2023
Short summary
Lagrangian and Eulerian time and length scales of mesoscale ocean chlorophyll from Bio-Argo floats and satellites
Darren C. McKee, Scott C. Doney, Alice Della Penna, Emmanuel S. Boss, Peter Gaube, Michael J. Behrenfeld, and David M. Glover
Biogeosciences, 19, 5927–5952, https://doi.org/10.5194/bg-19-5927-2022,https://doi.org/10.5194/bg-19-5927-2022, 2022
Short summary

Cited articles

Akhil, V. P., Durand, F., Lengaigne, M., Vialard, J., Keerthi, M. G., Gopalakrishna, V. V., Deltel, C., Papa, F., and de Boyer Montégut, C.: A modelling study of the processes of surface salinity seasonal cycle in the Bay of Bengal, J. Geophys. Res., 116, 3926–3947, https://doi.org/10.1002/2013JC009632, 2014.
Akhil, V. P., Lengaigne, M., Vialard, J., Durand, F., Keerthi, M. G., Chaitanya, A. V. S., Papa, F., Gopalakrishna, V. V., and de Boyer Montégut, C.: A modeling study of processes controlling the Bay of Bengal sea surface salinity interannual variability, J. Geophys. Res.-Oceans, 121, 8471–8495, https://doi.org/10.1002/2016JC011662, 2016.
Aumont, O. and Bopp, L.: Globalizing results from ocean in-situ iron fertilization studies, Global Biogeochem. Cy., 20, GB2017, https://doi.org/10.1029/2005GB002591, 2006.
Aumont, O., Ethé, C., Tagliabue, A., Bopp, L., and Gehlen, M.: PISCES-v2: an ocean biogeochemical model for carbon and ecosystem studies, Geosci. Model Dev., 8, 2465–2513, https://doi.org/10.5194/gmd-8-2465-2015, 2015.
Aumont, O., Bopp, L., and Schulz, M.: “What does temporal variability in aeolian dust deposition contribute to sea-surface iron and chlorophyll distributions?”, Geophys. Res. Lett., 35, L07607, https://doi.org/10.1029/2007GL031131, 2008.
Download
Short summary
The northern Arabian Sea hosts a winter chlorophyll bloom, which exhibits strong interannual variability. The processes responsible for this interannual variation of the bloom are investigated using observations and a model. The interannual fluctuations of the winter bloom are largely related to the interannual mixed-layer depth (MLD) anomalies, which are driven by net heat flux anomalies. MLD controls the bloom amplitude through a modulation of nutrient turbulent fluxes into the mixed layer.
Altmetrics
Final-revised paper
Preprint