Revisiting daily MODIS evapotranspiration algorithm using flux tower
measurements in China
Abstract
Evapotranspiration (ET) is the major component of the hydrology
cycle. Satellites provide a convenient way for gathering information to
estimate regional ET. The most widely applied method for
converting the instantaneous satellite measurement to daily scale
assumes that evaporative fraction (EF), defined as the ratio of
ET to the available energy, is constant during the daytime.
However, this method was proved to underestimate the daily ET.
This study implemented a theoretically improved EF algorithm to
calculate daily ET with the decoupling factor method based on the
Penman-Monteith and McNaughton-Jarvis equations. Seven improved
algorithms were developed by assuming that various parameters remain
constant during the day. The satellite-based ET estimates were
compared with seven local flux tower measurements in China. The results
showed that: (1) The original ET method calculated the daily
evaporation more accurately than the other algorithms. However, the good
fit was based on two compensating inaccuracies. Compared to the flux
tower measurement, the original ET method underestimated the
daily EF by 26% and overestimated the daily net radiation by 30%. (2)
Six of the seven proposed algorithms underpredicted the daily ET
by 30-60%, mainly due to the inaccurate daily net radiation. (3) The
algorithm that assumed that the instantaneous decoupling parameter
Ω* was equal to its daily value method
calculated EF and ET with the relative errors of 8% and
10% when the inaccurate estimated daily net radiation was replaced by
the observed flux tower data.