A Lagoa dos Patos (LP) é um dos ambientes oticamente complexos mais bem estudados no Brasil, e sua grande abrangência espacial, permite a união de diferentes medidas in situ com produtos de sensoriamento remoto, sendo possível entender melhor como os componentes óticos da água influenciam na sua cor. Florações de fitoplâncton possuem grande relevância ecológica e econômica, sendo o desenvolvimento de metologias simples para o seu monitoramento de vital importância. O presente trabalho utilizou produtos de coloração do oceano de imagens diárias dos sensores MODIS/Aqua e SeaWiFS durante os anos de 2002-2005, dados de modelos meteorológicos de reanálise para precipitação e velocidade do vento e dados de clorofila-a e salinidade obtidos in situ. Foi identificado que o espectro de reflectância de sensoriamento remoto é controlado pelo regime de El Niño e La Niña, variação intra anual e espacial (p<0.05), sendo a cor da água da LP em geral, característica de ambientes com alta concentração de CDOM/sedimentos ou de domínio misto. Partindo do pressuposto que o fitoplâncton domina o coeficiente de absorção da luz durante florações de fitoplâncton, e que as possíveis florações na LP se restringem a diatomáceas e cianobactérias, foi desenvolvido um modelo de classificação para discriminar a ocorrência desses eventos. O modelo proposto permite a classificação de águas oticamente complexas de acordo com o componente ótico predominante, e é pioneiro na exploração de dados do sensor MODIS/Aqua para detecção de florações de fitoplâncton em um ambiente lagunar / Patos Lagoon (PL) is one of the optical complex environment best studied in Brazil, and it large spatial extent, allows the union of different in situ and remote sensing measures, enabling a better understandment of how the optical components in water can influence its color. Phytoplankton blooms have great ecological and economic relevance, and the development of simple methodologies for your monitoring of vital importance. The present work used ocean color products from daily MODIS/Aqua and SeaWiFS images during the years 2002-2005, meteorological model data for precipitation and wind speed and chlorophyll-a and sailinity data obtained in situ. It was detected that remote sensing reflectance spectra is controlled by the regime of El Niño and La Niña, intra annual and spatial changes (p<0.05), ande the water color from PL in general, characteristic of environments with high CDOM/sediments concentration or with mixed domain. Assuming that the phytoplankton dominate light absorption coefficient during phytoplankton blooms, and that PL possible blooms are restricted to diatom and cyanobacteria, a classification model was developed to discriminate the occurance of those events. The proposed model allows for the classification of optically complex waters according to the predominant optical component, and it is pioneer in the exploration of data from MODIS/Aqua sensor to detect phytoplankton blooms in lagunar environment

A Lagoa dos Patos (LP) é um dos ambientes oticamente complexos mais bem estudados no Brasil, e sua grande abrangência espacial, permite a união de diferentes medidas in situ com produtos de sensoriamento remoto, sendo possível entender melhor como os componentes óticos da água influenciam na sua cor. Florações de fitoplâncton possuem grande relevância ecológica e econômica, sendo o desenvolvimento de metologias simples para o seu monitoramento de vital importância. O presente trabalho utilizou produtos de coloração do oceano de imagens diárias dos sensores MODIS/Aqua e SeaWiFS durante os anos de 2002-2005, dados de modelos meteorológicos de reanálise para precipitação e velocidade do vento e dados de clorofila-a e salinidade obtidos in situ. Foi identificado que o espectro de reflectância de sensoriamento remoto é controlado pelo regime de El Niño e La Niña, variação intra anual e espacial (p<0.05), sendo a cor da água da LP em geral, característica de ambientes com alta concentração de CDOM/sedimentos ou de domínio misto. Partindo do pressuposto que o fitoplâncton domina o coeficiente de absorção da luz durante florações de fitoplâncton, e que as possíveis florações na LP se restringem a diatomáceas e cianobactérias, foi desenvolvido um modelo de classificação para discriminar a ocorrência desses eventos. O modelo proposto permite a classificação de águas oticamente complexas de acordo com o componente ótico predominante, e é pioneiro na exploração de dados do sensor MODIS/Aqua para detecção de florações de fitoplâncton em um ambiente lagunar / Patos Lagoon (PL) is one of the optical complex environment best studied in Brazil, and it large spatial extent, allows the union of different in situ and remote sensing measures, enabling a better understandment of how the optical components in water can influence its color. Phytoplankton blooms have great ecological and economic relevance, and the development of simple methodologies for your monitoring of vital importance. The present work used ocean color products from daily MODIS/Aqua and SeaWiFS images during the years 2002-2005, meteorological model data for precipitation and wind speed and chlorophyll-a and sailinity data obtained in situ. It was detected that remote sensing reflectance spectra is controlled by the regime of El Niño and La Niña, intra annual and spatial changes (p<0.05), ande the water color from PL in general, characteristic of environments with high CDOM/sediments concentration or with mixed domain. Assuming that the phytoplankton dominate light absorption coefficient during phytoplankton blooms, and that PL possible blooms are restricted to diatom and cyanobacteria, a classification model was developed to discriminate the occurance of those events. The proposed model allows for the classification of optically complex waters according to the predominant optical component, and it is pioneer in the exploration of data from MODIS/Aqua sensor to detect phytoplankton blooms in lagunar environment

A partir d'un ensemble de données d'observation ainsi qu'un modèle couplé physiquebiogéochimique à haute résolution (CROCO-PISCES), cette thèse explore les processus biophysiques associés à l’une des plus grandes floraisons phytoplanctoniques de l’océan global, au Sud-Est de Madagascar, et le possible rôle des tourbillons sur ces blooms. L’étude montre que ce phénomène se produit dans une région caractérisée par une couche de mélange peu profonde, avec des eaux de surface moins salées probablement associées au courant Sud-Est de Madagascar (SEMC), et avec une structure dipolaire dans la circulation moyenne. Les observations ont révélé une diminution des remontées d’eaux froides (upwelling) le long des côtes sud-est de Madagascar pendant les mois de bloom. Dans le modèle, les nitrates provenant des niveaux de subsurface (advection verticale ; upwelling) ainsi que de la côte malgache (advection horizontale) favorisent la production phytoplanctonique simulée. Une expérience lagrangienne de particules montre une plus forte advection de ces dernières dans la zone de floraison pendant les périodes de bloom alors qu’elles sont déviées vers le sud de Madagascar vers le continent Africain pendant les années sans floraison. Une étude est réalisée à partir d’un jeu de données de suivi des tourbillons co-localisés avec des flotteurs de profilage Argo, pour mieux comprendre des tourbillons intensifiés en surface et subsurface. Une méthode d’identification des structures tourbillonnaires de subsurface a été mise en place en se basant sur l’anomalie de la hauteur dynamique stérique. Ces tourbillons, appelés ‘SIDDIES’ (South Indian ocean eDDIES), se produisent en tant que tourbillon intensifié en surface (surfSIDDIES) et en subsurface (subSIDDIES). Ils se déplacent le long d’une bande de latitude située entre 15°S et 35°S appelée « couloir SIDDIES ». Au cours de leurs déplacements, les subSIDDIES cycloniques (anticycloniques) transportent via les processus d’advection, des masses d’eaux chaudes et peu salées de l’Est vers l’Ouest de l’Océan Indien, contribuant ainsi à environ 58% (32%) du flux total de chaleur par tourbillons dans le sud de l'océan Indien. / Using observational datasets and a high resolution coupled biophysical model (CROCOPISCES), the main aims of this thesis is to study the biophysical processes associated with one of the largest phytoplankton blooms in global ocean, southeast of Madagascar, and the possible role of mesoscale eddies.The study has shown that the bloom occurs in a region of shallow-stratified mixed layer water, with low-salinity waters at the surface possibly associated with the South-East Madagasacar Current (SEMC), and dipole structure in the mean circulation. Observations show that curren-driven upwelling south of Madagascar is reduced during bloom months. It is shown in the model that nitrate from subsurface levels (upwelling) as well as from the Madagascan coast (advection) fertilize the simulated bloom. A Lagrangian analysis shows dispersion of higher percentages of particles in the bloom region during bloom years and south of Madagascar during non-bloom years.Using co-located Argo profiles and an eddy detected algorithm dataset, surface and subsurface-intensified eddies are studied. Subsurface eddies are identified using a detection method based on their steric dynamic height anomaly. Referred to as `SIDDIES’ (South Indian ocean eDDIES), they occur as surface (surfSIDDIES) or subsurface (subSIDDIES) and propagate along a latitudinal band (15°S-35°S) termed as `SIDDIES Corridor’. Advecting warm and fresh water during their propagation, cyclonic (anticyclonic) subSIDDIES contribute about 58% (32%) of the total eddy-heat flux in the South Indian Ocean.

Le gyre subpolaire de l'Atlantique Nord est le siège de la plus importante floraison (bloom) phytoplanctonique de l'océan global. Cet événement biologique majeur joue un rôle crucial sur le fonctionnement des écosystèmes océaniques et sur le cycle global du carbone. L'objectif de cette thèse est de mieux comprendre les processus bio-physiques qui contrôlent la dynamique du bloom phytoplanctonique et l'export de carbone à différentes échelles spatio-temporelles. Dans une première étude, basée sur des données satellites climatologiques, le gyre subpolaire a été biorégionalisé en fonction des différents cycles annuels de biomasse phytoplanctonique. Les conditions de mélange, couplées à l’intensité de la lumière de surface, contrôlent l’initiation du bloom printanier au sein des différentes biorégions. La nouvelle génération de flotteurs BGC-Argo a permis, dans une deuxième étude, d’explorer des processus à des échelles plus fines, en particulier pendant la période hivernale jusqu’à présent très peu étudiée. En hiver, des restratifications intermittentes et locales de la couche de mélange, liées à des processus de sous-mésoéchelle, initient des blooms transitoires qui influencent la dynamique du bloom printanier. Enfin, une troisième étude a montré que la variabilité haute-fréquence de la profondeur de la couche de mélange pendant la transition hiver-printemps joue aussi un rôle crucial sur l’export de carbone. / The North Atlantic Subpolar Gyre exhibits the largest phytoplancton bloom of the global ocean. This major biological event plays a crucial role for the functioning of marine ecosystems and the global carbon cycle. The aim of this thesis is to better understand the bio-physical processes driving the dynamics of the phytoplankton bloom and carbon export at various spatiotemporal scales.In a first study, based on satellite data at a climatological scale, the subpolar gyre is bioregionalized according to distinct annual phytoplankton biomass cycles. The light-mixing regime controls the phytoplankton bloom dynamics in the different bioregions.In a second study, the new generation of BGC-Argo floats allowed for processes to be explored at a finer scale, especially during the overlooked winter season. In winter, intermittent and local restratifications of the mixed layer, triggered by sub-mesoscale processes, initiate transient winter blooms impacting the spring bloom dynamics.Finally, a third study showed how the high-frequency variability of the mixed layer depth during the winter-spring transition plays a crucial role on carbon export.