@article{PAR00006204,
  title = {{C}hallenges of modeling depth-integrated marine primary productivity over multiple decades : a case study at {BATS} and {HOT}},
  author = {{S}aba, {V}. {S}. and {F}riedrichs, {M}. {A}. {M}. and {C}arr, {M}. {E}. and {A}ntoine, {D}. and {A}rmstrong, {R}. {A}. and {A}sanuma, {I}. and {A}umont, {O}livier and {B}ates, {N}. {R}. and {B}ehrenfeld, {M}. {J}. and {B}ennington, {V}. and {B}opp, {L}. and {B}ruggeman, {J}. and {B}uitenhuis, {E}. {T}. and {C}hurch, {M}. {J}. and {C}iotti, {A}. {M}. and {D}oney, {S}. {C}. and {D}owell, {M}. and {D}unne, {J}. and {D}utkiewicz, {S}. and {G}regg, {W}. and {H}oepffner, {N}. and {H}yde, {K}. {J}. {W}. and {I}shizaka, {J}. and {K}ameda, {T}. and {K}arl, {D}. {M}. and {L}ima, {I}. and {L}omas, {M}. {W}. and {M}arra, {J}. and {M}c{K}inley, {G}. {A}. and {M}elin, {F}. and {M}oore, {J}. {K}. and {M}orel, {A}. and {O}'{R}eilly, {J}. and {S}alihoglu, {B}. and {S}cardi, {M}. and {S}myth, {T}. {J}. and {T}ang, {S}. {L}. and {T}jiputra, {J}. and {U}itz, {J}. and {V}ichi, {M}. and {W}aters, {K}. and {W}estberry, {T}. {K}. and {Y}ool, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he performance of 36 models (22 ocean color models and 14 biogeochemical ocean circulation models ({BOGCM}s)) that estimate depth-integrated marine net primary productivity ({NPP}) was assessed by comparing their output to in situ {C}-14 data at the {B}ermuda {A}tlantic {T}ime series {S}tudy ({BATS}) and the {H}awaii {O}cean {T}ime series ({HOT}) over nearly two decades. {S}pecifically, skill was assessed based on the models' ability to estimate the observed mean, variability, and trends of {NPP}. {A}t both sites, more than 90% of the models underestimated mean {NPP}, with the average bias of the {BOGCM}s being nearly twice that of the ocean color models. {H}owever, the difference in overall skill between the best {BOGCM} and the best ocean color model at each site was not significant. {B}etween 1989 and 2007, in situ {NPP} at {BATS} and {HOT} increased by an average of nearly 2% per year and was positively correlated to the {N}orth {P}acific {G}yre {O}scillation index. {T}he majority of ocean color models produced in situ {NPP} trends that were closer to the observed trends when chlorophyll-alpha was derived from high-performance liquid chromatography ({HPLC}), rather than fluorometric or {S}ea{W}i{FS} data. {H}owever, this was a function of time such that average trend magnitude was more accurately estimated over longer time periods. {A}mong {BOGCM}s, only two individual models successfully produced an increasing {NPP} trend (one model at each site). {W}e caution against the use of models to assess multiannual changes in {NPP} over short time periods. {O}cean color model estimates of {NPP} trends could improve if more high quality {HPLC} chlorophyll-alpha time series were available.},
  keywords = {},
  booktitle = {},
  journal = {{G}lobal {B}iogeochemical {C}ycles},
  volume = {24},
  numero = {},
  pages = {{GB}3020},
  ISSN = {0886-6236},
  year = {2010},
  DOI = {10.1029/2009gb003655},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00006204},
}