@article{PAR00020515,
  title = {{E}stimating particle export flux from satellite observations : challenges associated with spatial and temporal decoupling of production and export},
  author = {{M}c{G}illicuddy, {D}. {J}. and {R}esplandy, {L}. and {L}evy, {M}arina},
  editor = {},
  language = {{ENG}},
  abstract = {{R}ecent studies have suggested that accurate predictions of particle export flux can be derived from satellite-based estimates of phytoplankton biomass and net primary production ({NPP}), combined with models of the food web. {W}e evaluate the performance of this approach using the output of a high-resolution, basin-scale coupled physical-biogeochemical model. {T}here is tight correlation between the annual mean export flux simulated by the biogeochemical model and that predicted by the satellite-based algorithm driven by {NPP} from the model. {A}lthough the satellite-based approach performs well on the annual average, there are significant departures during the course of the year, particularly in spring. {NPP} and export flux can also become decoupled at the mesoscale, when the dynamics of fronts and eddies cause export to be displaced in space and/or time from the productivity event generating the particulate material. {T}hese findings have significant implications for the design of field studies aimed at reducing uncertainties in estimates of export flux.},
  keywords = {{E}xport flux ; primary production ; models ; remote sensing},
  booktitle = {},
  journal = {{J}ournal of {M}arine {R}esearch},
  volume = {77},
  numero = {1},
  pages = {247--258},
  ISSN = {0022-2402},
  year = {2019},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00020515},
}