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An important element of the hydrologic cycle, the hydrometeorological parameter of evapotranspiration (ET), is critical in the development of effective water resources planning and irrigation scheduling. The ET varies in response to changes in resistance at the canopy surface  r   c   and soil moisture content  θ , especially under water-saving irrigation (WSI) practices. Drawing on data collected by eddy covariance in WSI rice paddies in eastern China in 2015 and 2016, variations in ET were studied by calculating and analyzing hourly canopy resistance   and daily canopy resistance  . Discrepancies were noted between true daily ET   with respect to the estimated daily ET   at different periods [0700–1600 local time (UTC + 8)]. To estimate   in the WSI rice fields, the mean   value between 0900 and 1000 LT, and between 1000 and 1100 LT performed considerably better than   for a single time. Seasonal estimated ET   can be accurately calculated by interpolating   at different time intervals, thereby achieving a greater correlation and consistency at 2-day intervals. Then a generalized two-segment line of   variation was used to calculate  , achieving good results and showing that in the absence of observational data,   could be easily calculated through a simplified pattern of variability. In conclusion, an ET temporal upscaling method for a WSI paddy, based on variation in   and   values, was optimized and is recommended for local application. Future work will focus on temporal upscaling of ET by extrapolating remote sensing instantaneous estimates to daily values.

Temporal Upscaling of Rice Evapotranspiration Based on Canopy Resistance in a Water-Saving Irrigated Rice Field