Articles | Volume 19, issue 4
https://doi.org/10.5194/gmd-19-1619-2026
https://doi.org/10.5194/gmd-19-1619-2026
Model evaluation paper
 | 
26 Feb 2026
Model evaluation paper |  | 26 Feb 2026

Assessment of gap-filling techniques applied to satellite phytoplankton composition products for the Atlantic Ocean

Ehsan Mehdipour, Hongyan Xi, Alexander Barth, Aida Alvera-Azcárate, Adalbert Wilhelm, and Astrid Bracher

Related authors

Consistent long-term observations of surface phytoplankton functional types from space
Hongyan Xi, Marine Bretagnon, Ehsan Mehdipour, Julien Demaria, Antoine Mangin, and Astrid Bracher
State Planet, 6-osr9, 7, https://doi.org/10.5194/sp-6-osr9-7-2025,https://doi.org/10.5194/sp-6-osr9-7-2025, 2025
Short summary

Cited articles

Abdel Latif, B., Lecerf, R., Mercier, G., and Hubert-Moy, L.: Preprocessing of Low-Resolution Time Series Contaminated by Clouds and Shadows, IEEE Trans. Geosci. Remote Sensing, 46, 2083–2096, https://doi.org/10.1109/TGRS.2008.916473, 2008. 
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung: Polar Research and Supply Vessel POLARSTERN Operated by the Alfred-Wegener-Institute, Journal of Large-Scale Research Facilities, 3, A119–A119, https://doi.org/10.17815/jlsrf-3-163, 2017. 
Alvera-Azcárate, A., Barth, A., Rixen, M., and Beckers, J. M.: Reconstruction of incomplete oceanographic data sets using empirical orthogonal functions: application to the Adriatic Sea surface temperature, Ocean Modelling, 9, 325–346, https://doi.org/10.1016/j.ocemod.2004.08.001, 2005. 
Alvera-Azcárate, A., Barth, A., Beckers, J.-M., and Weisberg, R. H.: Multivariate reconstruction of missing data in sea surface temperature, chlorophyll, and wind satellite fields, Journal of Geophysical Research Oceans, 112, https://doi.org/10.1029/2006JC003660, 2007. 
Alvera-Azcárate, A., Barth, A., Sirjacobs, D., and Beckers, J.-M.: Enhancing temporal correlations in EOF expansions for the reconstruction of missing data using DINEOF, Ocean Sci., 5, 475–485, https://doi.org/10.5194/os-5-475-2009, 2009. 
Download
Short summary
Phytoplankton are vital for marine ecosystems and nutrient cycling, detectable by optical satellites. Data gaps caused by clouds and other non-optimal conditions limit comprehensive analyses like trend monitoring. This study evaluated DINCAE and DINEOF gap-filling methods for reconstructing chlorophyll a datasets, including total chlorophyll a and five major phytoplankton groups. Both methods showed robust reconstruction capabilities, aiding pattern detection and long-term ocean colour analysis.
Share