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| Bellacicco, Marco; Ciani, Daniele; Doxaran, David; Vellucci, Vincenzo; Antoine, David; Wang, Menghua; D'Ortenzio, Fabrizio; Marullo, Salvatore. |
| Currently, observations from low-Earth orbit (LEO) ocean color sensors represent one of the most used tools to study surface optical and biogeochemical properties of the ocean. LEO observations are available at daily temporal resolution, and are often combined into weekly, monthly, seasonal, and annual averages in order to obtain sufficient spatial coverage. Indeed, daily satellite maps of the main oceanic variables (e.g., surface phytoplankton chlorophyll-a) generally have many data gaps, mainly due to clouds, which can be filled using either Optimal Interpolation or the Empirical Orthogonal Functions approach. Such interpolations, however, may introduce large uncertainties in the final product. Here, our goal is to quantify the potential benefits of... |
| Tipo: Text |
Palavras-chave: Remote sensing; Ocean color products; Geostationary sensor; Baltic Sea. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00585/69693/67578.pdf |
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| Tintoré, Joaquín; Pinardi, Nadia; Álvarez-fanjul, Enrique; Aguiar, Eva; Álvarez-berastegui, Diego; Bajo, Marco; Balbin, Rosa; Bozzano, Roberto; Nardelli, Bruno Buongiorno; Cardin, Vanessa; Casas, Benjamin; Charcos-llorens, Miguel; Chiggiato, Jacopo; Clementi, Emanuela; Coppini, Giovanni; Coppola, Laurent; Cossarini, Gianpiero; Deidun, Alan; Deudero, Salud; D'Ortenzio, Fabrizio; Drago, Aldo; Drudi, Massimiliano; El Serafy, Ghada; Escudier, Romain; Farcy, Patrick; Federico, Ivan; Fernández, Juan Gabriel; Ferrarin, Christian; Fossi, Cristina; Frangoulis, Constantin; Galgani, Francois; Gana, Slim; García Lafuente, Jesús; Sotillo, Marcos García; Garreau, Pierre; Gertman, Isaac; Gómez-pujol, Lluis; Grandi, Alessandro; Hayes, Daniel; Hernández-lasheras, Jaime; Herut, Barak; Heslop, Emma; Hilmi, Karim; Juza, Melanie; Kallos, George; Korres, Gerasimos; Lecci, Rita; Lazzari, Paolo; Lorente, Pablo; Liubartseva, Svitlana; Louanchi, Ferial; Malacic, Vlado; Mannarini, Gianandrea; March, David; Marullo, Salvatore; Mauri, Elena; Meszaros, Lorinc; Mourre, Baptiste; Mortier, Laurent; Muñoz-mas, Cristian; Novellino, Antonio; Obaton, Dominique; Orfila, Amine; Pascual, Ananda; Pensieri, Sara; Pérez Gómez, Begoña; Pérez Rubio, Susana; Perivoliotis, Leonidas; Petihakis, George; De La Villéon, Loic Petit; Pistoia, Jenny; Poulain, Pierre-marie; Pouliquen, Sylvie; Prieto, Laura; Raimbault, Patrick; Reglero, Patricia; Reyes, Emma; Rotllan, Paz; Ruiz, Simón; Ruiz, Javier; Ruiz, Inmaculada; Ruiz-orejón, Luis Francisco; Salihoglu, Baris; Salon, Stefano; Sammartino, Simone; Sánchez Arcilla, Agustín; Sánchez-román, Antonio; Sannino, Gianmaria; Santoleri, Rosalia; Sardá, Rafael; Schroeder, Katrin; Simoncelli, Simona; Sofianos, Sarantis; Sylaios, Georgios; Tanhua, Toste; Teruzzi, Anna; Testor, Pierre; Tezcan, Devrim; Torner, Marc; Trotta, Francesco; Umgiesser, Georg; Von Schuckmann, Karina; Verri, Giorgia; Vilibic, Ivica; Yucel, Mustafa; Zavatarelli, Marco; Zodiatis, George. |
| The Mediterranean community represented in this paper is the result of more than 30 years of EU and nationally funded coordination, which has led to key contributions in science concepts and operational initiatives. Together with the establishment of operational services, the community has coordinated with universities, research centers, research infrastructures and private companies to implement advanced multi-platform and integrated observing and forecasting systems that facilitate the advancement of operational services, scientific achievements and mission-oriented innovation. Thus, the community can respond to societal challenges and stakeholders needs, developing a variety of fit-for-purpose services such as the Copernicus Marine Service. The... |
| Tipo: Text |
Palavras-chave: Observing and forecasting systems; Sustained observations; Ocean variability; FAIR data; Climate; Operational services; Science with and for society; SDG's. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00513/62494/66808.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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| Di Cicco, Annalisa; Sammartino, Michela; Marullo, Salvatore; Santoleri, Rosalia. |
| Regional relationships to estimate the main Phytoplankton Functional Types (PFTs) and Size Classes (PSCs) from satellite data are presented. Following the abundance-based approach and selecting the Total Chlorophyll a (TChla) as descriptor of the trophic status of the environment, empirical relations between the TChla concentration and seven accessory pigments, marker for the main algal groups, have been developed for the Mediterranean Sea. Using only in-situ data acquired in this basin, firstly a previous regional diagnostic pigment analysis has been conducted to evaluate the specific pigment ratios featuring the phytoplankton assemblage that occurs in the Mediterranean Sea. Secondly, the new regional PFT and PSC algorithms have been calibrated and... |
| Tipo: Text |
Palavras-chave: PFTs; PSCs; Mediterranean Sea; Regional algorithms; Ocean color. |
| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00468/57983/60372.pdf |
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| Pitarch, Jaime; Bellacicco, Marco; Organelli, Emanuele; Volpe, Gianluca; Colella, Simone; Vellucci, Vincenzo; Marullo, Salvatore. |
| Particulate optical backscattering (bbp) is a crucial parameter for the study of ocean biology and oceanic carbon estimations. In this work, bbp retrieval, by the quasi-analytical algorithm (QAA), is assessed using a large in situ database of matched bbp and remote-sensing reflectance (Rrs). The QAA is also applied to satellite Rrs (ESA OC-CCI project) as well, after their validation against in situ Rrs. Additionally, the effect of Raman Scattering on QAA retrievals is studied. Results show negligible biases above random noise when QAA-derived bbp is compared to in situ bbp. In addition, Rrs from the CCI archive shows good agreement with in situ data. The QAA’s functional form of spectral backscattering slope, as derived from in situ radiometry, is... |
| Tipo: Text |
Palavras-chave: Particulate optical backscattering; Raman scattering; QAA algorithm; ESA OC-CCI. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00607/71889/70588.pdf |
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