|
|
| 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 |
| |
