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    Estimation of High-Resolution Global Monthly Ocean Latent Heat Flux from MODIS SST Product and AMSR-E Data by Xiaowei Chen, Yunjun Yao, Shaohua Zhao, Yufu Li, Kun Jia, Xiaotong Zhang, Ke Shang, Jia Xu, Xiangyi Bei

    Published 2020-01-01
    “…Validation results from monthly observations at 96 widely distributed buoy sites from three buoy site arrays (TAO, PIRATA, and RAMA) indicated a bias of less than 7 W/m2 with R2 of more than 0.80 (p<0.01) and with a King–Gupta efficiency (KGE) of over 0.84. Our estimated ocean LHF also performs well in simulating annual variability and predicting between-site variability, as indicated by a bias of lower than 6 W/m2 and an R2 of more than 0.84 (p<0.01). …”
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