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Haëntjens, Nils; Della Penna, Alice; Briggs, Nathan; Karp‐boss, Lee; Gaube, Peter; Claustre, Hervé; Boss, Emmanuel. |
During the North Atlantic Aerosols and Ecosystems Study (NAAMES) in the western North Atlantic (NAAMES), float‐based profiles of fluorescent dissolved organic matter (FDOM) and backscattering exhibited distinct spike layers at ~300 m. The locations of the spikes were at depths similar or shallower to where a ship‐based scientific echo sounder identified layers of acoustic backscatter, an Underwater Vision Profiler (UVP) detected elevated concentration of zooplankton, and mesopelagic fish were sampled by a mesopelagic net tow. The collocation of spike layers in bio‐optical properties with mesopelagic organisms suggests that some can be detected with float‐based bio‐optical sensors. This opens the door to the investigation of such aggregations/layers in... |
Tipo: Text |
Palavras-chave: BGC-Argo; Diel vertical migration; Mesopelagic organism; Scattering layers. |
Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00609/72121/70869.pdf |
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Bellacicco, Marco; Vellucci, Vincenzo; Scardi, Michele; Barbieux, Marie; Marullo, Salvatore; D'Ortenzio, Fabrizio. |
Linear regression is widely used in applied sciences and, in particular, in satellite optical oceanography, to relate dependent to independent variables. It is often adopted to establish empirical algorithms based on a finite set of measurements, which are later applied to observations on a larger scale from platforms such as autonomous profiling floats equipped with optical instruments (e.g., Biogeochemical Argo floats; BGC-Argo floats) and satellite ocean colour sensors (e.g., SeaWiFS, VIIRS, OLCI). However, different methods can be applied to a given pair of variables to determine the coefficients of the linear equation fitting the data, which are therefore not unique. In this work, we quantify the impact of the choice of regression method (i.e., either... |
Tipo: Text |
Palavras-chave: Linear regression methods; Bio-optical properties; BGC-Argo; Satellite oceanography. |
Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00585/69689/67568.pdf |
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