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	Provedor de dados ArchiMer (4) Autor Gohin, Francis (2) Saulquin, Bertrand (2) Boone, C (1) Chapron, Bertrand (1) Fablet, Ronan (1) Garello, Rene (1) Garrello, Rene (1) Horrein, Pierre-henri (1) Huynh Viet, Phi (1) Larnicol, G (1) Le Traon, Pierre-yves (1) Lguensat, Redouane (1) Obligis, E (1) Philipps, S (1) Tranchant, B (1) Mais... Palavra-chave Optimal interpolation (4) Remote sensing (3) Kriging (2) Analog models (1) Brightness temperatures (1) Chlorophyll-a (1) Chlorophyll-a (chl-a) (1) Data assimilation (1) Microwave radiometry (1) Multi-scale decomposition (1) Ocean remote sensing data (1) Patch-based representation (1) Sea surface salinity SSS (1) Soil Moisture and Ocean Salinity SMOS (1) Mais... Tipo do documento Text (4) Ano 2018 (1) 2011 (1) 2009 (1) 2008 (1) País France (4) Idioma Inglês (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation ArchiMer Fablet, Ronan; Huynh Viet, Phi; Lguensat, Redouane; Horrein, Pierre-henri; Chapron, Bertrand. The ever increasing geophysical data streams pouring from earth observation satellite missions and numerical simulations along with the development of dedicated big data infrastructure advocate for truly exploiting the potential of these datasets, through novel data-driven strategies, to deliver enhanced satellite-derived gapfilled geophysical products from partial satellite observations. We here demonstrate the relevance of the analog data assimilation (AnDA) for an application to the reconstruction of cloud-free level-4 gridded Sea Surface Temperature (SST). We propose novel AnDA models which exploit auxiliary variables such as sea surface currents and significantly reduce the computational complexity of AnDA. Numerical experiments benchmark the proposed... Tipo: Text Palavras-chave: Ocean remote sensing data; Data assimilation; Optimal interpolation; Analog models; Multi-scale decomposition; Patch-based representation. Ano: 2018 URL: https://archimer.ifremer.fr/doc/00426/53806/54741.pdf Benefits of the future sea surface salinity measurements from SMOS: Generation and characteristics of SMOS geophysical products ArchiMer Obligis, E; Boone, C; Larnicol, G; Philipps, S; Tranchant, B; Le Traon, Pierre-yves. Soil Moisture and Ocean Salinity (SMOS) level 2 and level 3 products are simulated and characterized over a one-year time period. A simulator is first used to evaluate the sea surface salinity (SSS) error of level 2 SMOS products. An optimal interpolation method is then adapted to map the surface salinity in order to simulate a level 3 SMOS product. The quality of the simulated products is satisfactory. The mean error of the SSS at pixel scale is around 1 psu, and the error on the final gridded product fits the Global Ocean Data Assimilation Experiment requirements (0.2 psu). Tipo: Text Palavras-chave: Soil Moisture and Ocean Salinity SMOS; Sea surface salinity SSS; Remote sensing; Optimal interpolation; Microwave radiometry; Brightness temperatures. Ano: 2008 URL: http://archimer.ifremer.fr/doc/2008/publication-3773.pdf Regional objective analysis for merging MERIS, MODIS/Aqua and SeaWiFS Chlorophyll-a data from 1998 to 2008 on the European Atlantic Shelf at a resolution of 1.1Km. ArchiMer Saulquin, Bertrand; Gohin, Francis; Garello, Rene. In this paper we define the method used to merge high resolution multi-sensor chlorophyll-a data on the Ireland-Biscay-Iberia Regional Ocean Observing System (IBI-ROOS) area at a resolution of 0.015 degrees. The method is based on geostatistics and is known as kriging. The merged variable is the anomaly of chlorophyll-a, the anomaly being defined for a day as the difference between the daily image and the mean historical field for that day. The used chlorophyll-a dataset is derived from the daily level-2 water leaving radiances of the Sea-viewing Wide Field of View Sensor (SeaWiFS) of the Orbview platform, the Moderate Resolution Imaging Spectroradiometer (MODIS) of the Aqua platform and the Medium Resolution Imaging Spectrometer Instrument (MERIS) of the... Tipo: Text Palavras-chave: Remote sensing; Chlorophyll-a; Optimal interpolation; Kriging. Ano: 2009 URL: http://archimer.ifremer.fr/doc/00014/12536/9568.pdf Regional Objective Analysis for Merging High-Resolution MERIS, MODIS/Aqua, and SeaWiFS Chlorophyll-a Data From 1998 to 2008 on the European Atlantic Shelf ArchiMer Saulquin, Bertrand; Gohin, Francis; Garrello, Rene. In this paper, we define the method that is used to merge high-resolution multisensor chlorophyll-a (chl-a) data on the Ireland-Biscay-Iberia Regional Ocean Observing System area from 1998 to the present at a resolution of 1.1 km. The method is based on geostatistics and is known as kriging. The merged variable is the daily anomaly of chl-a, with the anomaly being defined as the difference between the daily image and the mean historical field for the considered day. For each day, the continuous anomaly image is generated using the kriging method, and the mean historical field is then added to obtain the cloudless field of chl-a. The initial satellite chl-a data set used in the merging procedure is derived from the daily level-2 water leaving radiances of... Tipo: Text Palavras-chave: Chlorophyll-a (chl-a); Kriging; Optimal interpolation; Remote sensing. Ano: 2011 URL: http://archimer.ifremer.fr/doc/00029/14063/11369.pdf Registros recuperados: 4 Primeira ... 1 ... Última

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