@article{fdi:010087872,
  title = {{C}ontrasted trends in chlorophyll- a satellite products},
  author = {{P}authenet, {E}tienne and {M}artinez, {E}lodie and {G}orgues, {T}homas and {R}oussillon, {J}oana and {D}rumetz, {L}. and {F}ablet, {R}. and {R}oux, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{P}hytoplankton sustains marine ecosystems and influences the global carbon cycle. {T}his study analyzes trends in surface chlorophyll-a concentration ({S}chl), a proxy for phytoplankton biomass, using six of the most widely used merged satellite products. {S}ignificant regional variations are observed, with contrasting trends observed among different products. {T}o assess if these trends can be related to changes in the environment or to bias in radiometric products, a convolutional neural network is used to examine the relationship between physical ocean variables versus {S}chl. {T}he results suggest that the merging algorithm of {G}lobcolour-{GSM} is not reliable for trend detection and that observed changes in {S}chl after 2012/2016 are not supported by changes of the physical ocean. {T}hese results emphasize the need for careful interpretation of satellite-derived {S}chl trends and highlight the potential of machine learning in understanding the complex interactions in marine ecosystems.},
  keywords = {{PACIFIQUE} ; {ATLANTIQUE} ; {OCEAN} {INDIEN} ; {AUSTRAL} {OCEAN}},
  booktitle = {},
  journal = {{G}eophysical {R}esearch {L}etters},
  volume = {51},
  numero = {14},
  pages = {e2024{GL}108916 [10 ]},
  ISSN = {0094-8276},
  year = {2024},
  DOI = {10.1029/2024gl108916},
  URL = {https://www.documentation.ird.fr/hor/fdi:010087872},
}