2020
DOI: 10.1155/2020/8857618
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Estimation of High-Resolution Global Monthly Ocean Latent Heat Flux from MODIS SST Product and AMSR-E Data

Abstract: Accurate estimation of satellite-derived ocean latent heat flux (LHF) at high spatial resolution remains a major challenge. Here, we estimate monthly ocean LHF at 4 km spatial resolution over 5 years using bulk algorithm COARE 3.0, driven by satellite data and meteorological variables from reanalysis. We validated the estimated ocean LHF by multiyear observations and by comparison with seven ocean LHF products. Validation results from monthly observations at 96 widely distributed buoy sites from three buoy sit… Show more

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Cited by 3 publications
(1 citation statement)
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“…Compared with the COARE scheme, RMSE of MSLP simulated by three wave-state-based momentum flux parameterization schemes is reduced by about 3 hPa on average. COARE is one of the best wind-speed-based z 0 parameterization schemes, which has been widely used in momentum flux calculations [60,61]; the better results from wave-state-based schemes reveal that the characteristics of momentum flux at typhoon condition are better captured by the wave-state-based schemes; this denotes that considering the impacts of wave state can provide more information for the parameterization of z 0 . Similar conclusions are presented by Drennan et al [62] and Prakash et al [63].…”
Section: Track and Intensitymentioning
confidence: 99%
“…Compared with the COARE scheme, RMSE of MSLP simulated by three wave-state-based momentum flux parameterization schemes is reduced by about 3 hPa on average. COARE is one of the best wind-speed-based z 0 parameterization schemes, which has been widely used in momentum flux calculations [60,61]; the better results from wave-state-based schemes reveal that the characteristics of momentum flux at typhoon condition are better captured by the wave-state-based schemes; this denotes that considering the impacts of wave state can provide more information for the parameterization of z 0 . Similar conclusions are presented by Drennan et al [62] and Prakash et al [63].…”
Section: Track and Intensitymentioning
confidence: 99%