@Article{Xu2015,
author="Xu, Tongren
and Liu, Shaomin
and Xu, Lu
and Chen, Yujie
and Jia, Zhenzhen
and Xu, Ziwei
and Nielson, Jeffrey",
title="Temporal Upscaling and Reconstruction of Thermal Remotely Sensed Instantaneous Evapotranspiration",
journal="Remote Sensing",
year="2015",
volume="7",
number="3",
keywords="evapotranspiration;thermal remote sensing;temporal upscaling;continuously daily ET reconstruction;regional ET production",
abstract="Currently, thermal remote sensing-based evapotranspiration (ET) models can only calculate instantaneous ET at the time of satellite overpass. Five temporal upscaling methods, namely, constant evaporative fraction (ConEF), corrected ConEF (CorEF), diurnal evaporative fraction (DiEF), constant solar radiation ratio (SolRad), and constant reference evaporative fraction (ConET<sub>r</sub>F), were selected to upscale the instantaneous ET to daily values. Moreover, five temporal reconstruction approaches, namely, data assimilation (ET{\_}EnKF and ET{\_}SCE{\_}UA), surface resistance (ET{\_}SR), reference evapotranspiration (ET{\_}ET<sub>r</sub>F), and harmonic analysis of time series (ET{\_}HANTS), were used to produce continuous daily ET with discrete clear-sky daily ET values. For clear-sky daily ET generation, SolRad and ConET<sub>r</sub>F produced the best estimates. In contrast, ConEF usually underestimated the daily ET. The optimum method, however, was found by combining SolRad and ConET<sub>r</sub>F, which produced the lowest..."
}