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| Sathyendranath, Shubha; Brewin, Robert; Brockmann, Carsten; Brotas, Vanda; Calton, Ben; Chuprin, Andrei; Cipollini, Paolo; Couto, André; Dingle, James; Doerffer, Roland; Donlon, Craig; Dowell, Mark; Farman, Alex; Grant, Mike; Groom, Steve; Horseman, Andrew; Jackson, Thomas; Krasemann, Hajo; Lavender, Samantha; Martinez-vicente, Victor; Mazeran, Constant; Mélin, Frédéric; Moore, Timothy; Müller, Dagmar; Regner, Peter; Roy, Shovonlal; Steele, Chris; Steinmetz, François; Swinton, John; Taberner, Malcolm; Thompson, Adam; Valente, André; Zühlke, Marco; Brando, Vittorio; Feng, Hui; Feldman, Gene; Franz, Bryan; Frouin, Robert; Gould, Richard; Hooker, Stanford; Kahru, Mati; Kratzer, Susanne; Mitchell, B.; Muller-karger, Frank; Sosik, Heidi; Voss, Kenneth; Werdell, Jeremy; Platt, Trevor. |
| Ocean colour is recognised as an Essential Climate Variable (ECV) by the Global Climate Observing System (GCOS); and spectrally-resolved water-leaving radiances (or remote-sensing reflectances) in the visible domain, and chlorophyll-a concentration are identified as required ECV products. Time series of the products at the global scale and at high spatial resolution, derived from ocean-colour data, are key to studying the dynamics of phytoplankton at seasonal and inter-annual scales; their role in marine biogeochemistry; the global carbon cycle; the modulation of how phytoplankton distribute solar-induced heat in the upper layers of the ocean; and the response of the marine ecosystem to climate variability and change. However, generating a long time series... |
| Tipo: Text |
Palavras-chave: Ocean colour; Water-leaving radiance; Remote-sensing reflectance; Phytoplankton; Chlorophyll-a; Inherent optical properties; Climate Change Initiative; Optical water classes; Essential Climate Variable; Uncertainty characterisation. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00589/70072/68045.pdf |
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| Dessailly, David; Loisel, Hubert; Steinmetz, François; Vantrepotte, Vincent; Satra Le Bris, Catherine; Ramon, Didier; Meillon, Julien. |
| In the frame of GlobCoast project (11/2012-11/2015), funded by the French National Research Agency (ANR), a completely new dataset covering the global coastal waters has been processed. For MERIS period (2002-2012), SPM, Chlorophyl, acdom, DOC, Kd, anw and bbp, are now available at global scale at 1 km resolution. Monthly climatologies (with variation coefficient), eight days and monthly means are available. Results of advanced time series analysis from census-X11 method (trend, seasonal and irregular contribution) are also available. The data, projected on a sinusoidal equal-area grid, have been filtered to only keep the coastal waters. Even with filtering each image has a potential of 64 millions of pixels. To deal with this a specific storage format... |
| Tipo: Text |
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| Ano: 2016 |
URL: http://archimer.ifremer.fr/doc/00357/46823/46693.pdf |
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