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dc.contributor.authorPraveenKumar, B.
dc.contributor.authorVialard, J.
dc.contributor.authorLengaigne, M.
dc.contributor.authorMurty, V.S.N.
dc.contributor.authorMcPhaden, M.J.
dc.date.accessioned2012-05-09T10:44:46Z
dc.date.available2012-05-09T10:44:46Z
dc.date.issued2012
dc.identifier.citationClimate Dynamics, vol.38; 2012; 1521-1543
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/4049
dc.description.abstractThis paper evaluates several timely, daily air-sea heat flux products (NCEP, NCEP2, ERA-Interim and OAFlux/ISCCP) against observations and present the newly developed TropFlux product. This new product uses bias-corrected ERA-interim and ISCCP data as input parameters to compute air-sea fluxes from the COARE v3.0 algorithm. Wind speed is corrected for mesoscale gustiness. Surface net shortwave radiation is based on corrected ISCCP data. We extend the shortwave radiation time series by using "near real-time" SWR estimated from outgoing longwave radiation. All products reproduce consistent intraseasonal surface net heat flux variations associated with the Madden-Julian Oscillation in the Indian Ocean, but display more disparate interannual heat flux variations associated with El Nino in the eastern Pacific. They also exhibit marked differences in mean values and seasonal cycle. Comparison 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. OAFlux and TropFlux perform best. All products have issues in reproducing observed longwave radiation. Shortwave flux is much better captured by ISCCP data than by any of the re-analyses. Our "near real-time" shortwave radiation performs better than most re-analyses, but tends to underestimate variability over the cold tongues of the Atlantic and Pacific. Compared to independent mooring data, NCEP and NCEP2 net heat fluxes display approx 0.78 correlation and >65 W m sup(-2) rms-difference, ERA-I performs better (approx 0.86 correlation and approx 48 W m sup(-2)) while OAFlux and TropFlux perform best (approx 0.9 correlation and approx 43 W m sup(-2)). TropFlux hence provides a useful option for studying flux variability associated with ocean–atmosphere interactions, oceanic heat budgets and climate fluctuations in the tropics.
dc.language.isoen
dc.publisherSpringer-Verlag
dc.rightsAn edited version of this paper was published by Springer. This paper is for R & D purpose and Copyright [2012] Springer.
dc.subjectheat transfer
dc.subjectmodels
dc.subjectair-water exchanges
dc.titleTropFlux: air-sea fluxes for the global tropical oceans-description and evaluation
dc.typeJournal Article


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