@article{fdi:010079807,
  title = {{S}ources and sinks of isoprene in the global open ocean : simulated patterns and emissions to the atmosphere},
  author = {{C}onte, {L}. and {S}zopa, {S}. and {A}umont, {O}livier and {G}ros, {V}. and {B}opp, {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he ocean is a source of isoprene to the atmosphere. {A}lthough their global estimates are relatively low compared with the terrestrial source, these emissions have an influence on atmospheric chemistry. {T}he lack of knowledge about the sources and sinks of isoprene in the ocean has hitherto precluded a precise assessment of when and where these emissions might be significant. {H}ere we use the general circulation and biogeochemistry model{N}ucleus for {E}uropean {M}odelling of the {O}cean, {P}elagic {I}nteraction {S}cheme for {C}arbon and {E}cosystem {S}tudies({NEMO}-{PISCES}) to explore different parameterizations of the 3{D} oceanic sources and sinks of isoprene. {I}n addition, we investigate a representation of the isoprene emission due to photoproduction in the sea surface microlayer. {O}ur model estimates are complemented by a new data compilation of laboratory isoprene production rates and in situ isoprene concentrations. {T}his study constitutes the first attempt to simulate isoprene in a global 3{D} ocean biogeochemical model. {W}e find that sea surface temperature is an important driver modulating phytoplankton isoprene production and that light levels only play a secondary role at the scale of the global ocean. {F}urthermore, the use of a variable biochemical consumption rate improves the model-data comparison. {W}e show the importance of isoprene production below the mixed layer and, as a consequence, demonstrate that models based on 2{D} surface satellite chlorophyll-a could miss up to 18.5% of oceanic isoprene emissions. {T}he oceanic isoprene emissions to the atmosphere are estimated to 0.66 (0.43-0.82) {T}g {C} yr(-1)in the low range of previous estimates.},
  keywords = {oceanic isoprene ; open ocean ; modeling ; {MONDE}},
  booktitle = {},
  journal = {{J}ournal of {G}eophysical {R}esearch : {O}ceans},
  volume = {125},
  numero = {9},
  pages = {e2019{JC}015946 [23 p.]},
  ISSN = {2169-9275},
  year = {2020},
  DOI = {10.1029/2019jc015946},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079807},
}