Intermittency in phytoplankton bloom triggered by modulations in vertical stability

Autor: Madhavan Girijakumari Keerthi, Marina Lévy, Olivier Aumont

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)

Abstract Seasonal surface chlorophyll (SChl) blooms are very chaotic in nature, but traditional bloom paradigms have climbed out of these subseasonal variations. Here we highlight the leading order role of wind bursts, by conjoining two decades of sa

Externí odkaz: https://doaj.org/article/8828862fbedc46e7901ac895505523b5

Intermittency in phytoplankton bloom triggered by modulations in vertical stability

Autor: Olivier Aumont, Marina Lévy, Madhavan Girijakumari Keerthi

Publikováno v: Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports, 2021, 11, pp.1285. ⟨10.1038/s41598-020-80331-z⟩
Scientific Reports, Nature Publishing Group, 2021, 11, pp.1285. ⟨10.1038/s41598-020-80331-z⟩

Seasonal surface chlorophyll (SChl) blooms are very chaotic in nature, but traditional bloom paradigms have climbed out of these subseasonal variations. Here we highlight the leading order role of wind bursts, by conjoining two decades of satellite S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0b6d63ccc9353aab72289a8db54f3ff
https://doi.org/10.1038/s41598-020-80331-z

Bay of Bengal Sea surface salinity variability using a decade of improved SMOS re-processing

Autor: Matthieu Lengaigne, Madhavan Girijakumari Keerthi, Fabrice Papa, Jacqueline Boutin, Valiya Parambil Akhil, Jérôme Vialard, Jean-Luc Vergely

Publikováno v: Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2020, 248, pp.111964. ⟨10.1016/j.rse.2020.111964⟩
Remote Sensing of Environment, 2020, 248, pp.111964. ⟨10.1016/j.rse.2020.111964⟩

International audience; Monsoon rain and rivers bring large freshwater input to the Northern Bay of Bengal (BoB), yielding low Sea Surface Salinity (SSS) after the monsoon. The resulting sharp upper-ocean salinity stratification is thought to influen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::149bf8b629a17e34009b0dd6e59c9189
https://doi.org/10.1016/j.rse.2020.111964

Assessment of seasonal and year-to-year surface salinity signals retrieved from SMOS and Aquarius missions in the Bay of Bengal

Autor: Fabien Durand, Jacqueline Boutin, Clément de Boyer Montégut, Jérôme Vialard, Madhavan Girijakumari Keerthi, V. V. Gopalakrishna, Valiya Parambil Akhil, Akurathi Venkata Sai Chaitanya, Matthieu Lengaigne

Publikováno v: International Journal of Remote Sensing
International Journal of Remote Sensing, 2016, 37 (5), pp.1089-1114. ⟨10.1080/01431161.2016.1145362⟩
International Journal of Remote Sensing, Taylor & Francis, 2016, 37 (5), pp.1089-1114. ⟨10.1080/01431161.2016.1145362⟩
International Journal Of Remote Sensing (0143-1161) (Taylor & Francis Ltd), 2016-03, Vol. 37, N. 5, P. 1089-1114

International audience; The Bay of Bengal (BoB) exhibits a wide range of sea surface salinity (SSS), with very fresh water induced by heavy monsoonal precipitation and river run-offs to the north, and saltier water to the south. This is a particularl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c10494aee686c3833a76504214dbb9f3
https://hal.science/hal-01414574

The NOW regional coupled model: Application to the tropical Indian Ocean climate and tropical cyclone activity

Autor: Guillaume Samson, Jérôme Vialard, Madhavan Girijakumari Keerthi, Patrick Marchesiello, Nicolas C. Jourdain, Stéphane Pous, Matthieu Lengaigne, Christophe E. Menkès, Swen Jullien, Sébastien Masson, Gurvan Madec

Publikováno v: Journal Of Advances In Modeling Earth Systems (1942-2466) (Amer Geophysical Union), 2014-09, Vol. 6, N. 3, P. 700-722
Journal of Advances in Modeling Earth Systems
Journal of Advances in Modeling Earth Systems, 2014, 6 (3), pp.700-722. ⟨10.1002/2014MS000324⟩
Journal of Advances in Modeling Earth Systems, American Geophysical Union, 2014, 6 (3), pp.700-722. ⟨10.1002/2014MS000324⟩

International audience; This paper presents the NOW regional coupled ocean-atmosphere model built from the NEMO ocean and WRF atmospheric numerical models. This model is applied to the tropical Indian Ocean, with the oceanic and atmospheric component

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65bb0be2e0dbcc4869a8d452e8ae4fa2
https://archimer.ifremer.fr/doc/00349/46036/