@article{fdi:010055771,
  title = {{T}rop{F}lux : air-sea fluxes for the global tropical oceans-description and evaluation},
  author = {{K}umar, {B}. {P}. and {V}ialard, {J}{\'e}r{\^o}me and {L}engaigne, {M}atthieu and {M}urty, {V}. {S}. {N}. and {M}c{P}haden, {M}. {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n this paper, we evaluate several timely, daily air-sea heat flux products ({NCEP}, {NCEP}2, {ERA}-{I}nterim and {OAF}lux/{ISCCP}) against observations and present the newly developed {T}rop{F}lux product. {T}his new product uses bias-corrected {ERA}-interim and {ISCCP} data as input parameters to compute air-sea fluxes from the {COARE} v3.0 algorithm. {W}ind speed is corrected for mesoscale gustiness. {S}urface net shortwave radiation is based on corrected {ISCCP} data. {W}e extend the shortwave radiation time series by using "near real-time" {SWR} estimated from outgoing longwave radiation. {A}ll products reproduce consistent intraseasonal surface net heat flux variations associated with the {M}adden-{J}ulian {O}scillation in the {I}ndian {O}cean, but display more disparate interannual heat flux variations associated with {E}l {N}ino in the eastern {P}acific. {T}hey also exhibit marked differences in mean values and seasonal cycle. {C}omparison with global tropical moored buoy array data, {I}-{COADS} and fully independent mooring data sets shows that the two {NCEP} products display lowest correlation to mooring turbulent fluxes and significant biases. {ERA}-interim data captures well temporal variability, but with significant biases. {OAF}lux and {T}rop{F}lux perform best. {A}ll products have issues in reproducing observed longwave radiation. {S}hortwave flux is much better captured by {ISCCP} data than by any of the re-analyses. {O}ur "near real-time" shortwave radiation performs better than most re-analyses, but tends to underestimate variability over the cold tongues of the {A}tlantic and {P}acific. {C}ompared to independent mooring data, {NCEP} and {NCEP}2 net heat fluxes display similar to 0.78 correlation and >65 {W} m(-2) rms-difference, {ERA}-{I} performs better (similar to 0.86 correlation and similar to 48 {W} m(-2)) while {OAF}lux and {T}rop{F}lux perform best (similar to 0.9 correlation and similar to 43 {W} m(-2)). {T}rop{F}lux hence provides a useful option for studying flux variability associated with ocean-atmosphere interactions, oceanic heat budgets and climate fluctuations in the tropics.},
  keywords = {},
  booktitle = {},
  journal = {{C}limate {D}ynamics},
  volume = {38},
  numero = {7-8},
  pages = {1521--1543},
  ISSN = {0930-7575},
  year = {2012},
  DOI = {10.1007/s00382-011-1115-0},
  URL = {https://www.documentation.ird.fr/hor/fdi:010055771},
}