Evapotranspiration
(ET) is an important basis and key link for
guiding irrigation. One of the key problems to be solved is how to
predict the dynamic change in the daily ET and estimate the total
amount of ET in greenhouse through limited instantaneous data. In
this paper, it is estimated that the daily scale of evapotranspiration
by using four methods, including the evaporative fraction method (EF
method), the reference evaporative fraction method (EF′ method),
the sine method, and the canopy resistance method (
r
c
method), is based on the measured ET data of grapes
in a solar greenhouse in Northeast China. The relative root-mean-square
pair error (RRMSE) and the efficiency coefficient (ε) are also
used to study their applicability in terms of leaf area index, radiation
degree, and scale-up time point. In the results, under the condition
of different LAI, the simulation accuracies of ET scaled by the four
methods ranked as follows (from highest to lowest): the reference
evaporative fraction method, the evaporative fraction method, the
sine method, and the canopy resistance method. The average RRMSE and
ε of the evaporative fraction method with the best simulation
accuracy were 7.19–16.46% and 0.61–0.75, respectively.
Under different radiation conditions, the simulation accuracies of
the four methods ranked as follows (from highest to lowest): the evaporative
fraction method, the reference evaporative fraction method, the sine
method, and the canopy resistance method. Under different radiation
conditions, the RRSME of the four methods ranged from 11.55 to 46.62%,
and the maximum of ε was 0.75. The evaporative fraction and
reference evaporative fraction methods had the highest simulation
accuracy, whereas the reference evaporative fraction method required
fewer parameters. We concluded that the reference evaporative fraction
method was the best for estimating the daily ET of greenhouse grapes
in the cold area of Northeast China.