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Advances in Meteorology
Volume 2018, Article ID 1690714, 11 pages
https://doi.org/10.1155/2018/1690714
Review Article

Surface Renewal Application for Estimating Evapotranspiration: A Review

1School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang 212013, China
2Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, Volcani Center, P.O. Box 15159, 7528809 Rishon LeZion, Israel
3Holon Institute of Technology (HIT), 58102 Holon, Israel
4Atmospheric Science, University of California, Davis, Davis, CA, USA
5Soil-Plant-Atmosphere Continuum Research Unit (SPACRU), Agrometeorology Discipline, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa

Correspondence should be addressed to Yongguang Hu; moc.361@uhreed

Received 24 November 2017; Accepted 6 March 2018; Published 12 April 2018

Academic Editor: Jingcheng Zhang

Copyright © 2018 Yongguang Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The estimation of evapotranspiration (ET) is essential for meteorological modeling of surface exchange processes, as well as for the agricultural practice of irrigation management. Hitherto, a number of methods for estimation of ET at different temporal scales and climatic conditions are constantly under investigation and improvement. One of these methods is surface renewal (SR). Therefore, the premise of this review is to present recent developments and applications of SR for ET measurements. The SR method is based on estimating the turbulent exchange of sensible heat flux between plant canopy and atmosphere caused by the instantaneous replacement of air parcels in contact with the surface. Additional measurements of net radiation and soil heat flux facilitate extracting ET using the shortened energy balance equation. The challenge, however, is the calibration of SR results against direct sensible heat flux measurements. For the classical SR method, only air temperature measured at high frequency is required. In addition, a new model suggests that the SR method could be exempted from calibration by measuring additional micrometeorological variables. However, further improvement of the SR method is required to provide improved results in the future.