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Article

A Scheme to Estimate Diurnal Cycle of Evapotranspiration from Geostationary Meteorological Satellite Observations

1
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
2
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
*
Author to whom correspondence should be addressed.
Water 2020, 12(9), 2369; https://doi.org/10.3390/w12092369
Received: 18 June 2020 / Revised: 13 August 2020 / Accepted: 21 August 2020 / Published: 24 August 2020
(This article belongs to the Special Issue Evapotranspiration Measurements and Modeling)
The diurnal cycle of evapotranspiration (ET) is significant in studying the dynamics of land–atmosphere interactions. The diurnal ET cycle can be considered as an indicator of dry/wet surface conditions. However, the accuracy of current models in estimating the diurnal ET cycle is generally low. This study developed an improved scheme to estimate the diurnal cycle of ET by solving the surface energy balance equation combined with simplified parameterization, with daily ET as the constraint. Meteosat Second Generation (MSG) land surface temperature, and longwave and shortwave radiation products were the primary inputs. Daily ET was from the remote sensing-based ETMonitor model. The estimated instantaneous (30 min) ET from the improved scheme outperformed the official MSG instantaneous ET product when compared with in situ half-hourly measurements at 35 flux sites from the FLUXNET2015 dataset, and was also comparable with European Center for Medium-Range Weather Forecasts (ECMWF) ERA5 ET data, with an R2 of 0.617 and root mean square error (RMSE) of 65.8 W/m2 for the improved scheme. Results were largely improved compared with those without daily ET as the constraint. The improved method was stable for the estimation of ET’s diurnal cycle at the similar atmospheric conditions and the accuracy was comparative at different land cover surfaces. Errors in the input variables and the simplification of surface heat flux parameterization affected surface energy balance closure, which can lead to instability of the solution of constants in the simplified parameterization and further to the uncertainty of ET’s diurnal cycle estimation. Measurement errors, different source areas in measured variables, and inconsistent spatial representativeness between remote sensing and site measurements also impacted the evaluation. View Full-Text
Keywords: diurnal cycle of evapotranspiration; geostationary meteorological satellite; surface energy balance; ETMonitor model; FLUXNET2015 diurnal cycle of evapotranspiration; geostationary meteorological satellite; surface energy balance; ETMonitor model; FLUXNET2015
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MDPI and ACS Style

Lu, J.; Jia, L.; Zheng, C.; Tang, R.; Jiang, Y. A Scheme to Estimate Diurnal Cycle of Evapotranspiration from Geostationary Meteorological Satellite Observations. Water 2020, 12, 2369. https://doi.org/10.3390/w12092369

AMA Style

Lu J, Jia L, Zheng C, Tang R, Jiang Y. A Scheme to Estimate Diurnal Cycle of Evapotranspiration from Geostationary Meteorological Satellite Observations. Water. 2020; 12(9):2369. https://doi.org/10.3390/w12092369

Chicago/Turabian Style

Lu, Jing; Jia, Li; Zheng, Chaolei; Tang, Ronglin; Jiang, Yazhen. 2020. "A Scheme to Estimate Diurnal Cycle of Evapotranspiration from Geostationary Meteorological Satellite Observations" Water 12, no. 9: 2369. https://doi.org/10.3390/w12092369

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