Quality Assessment of Weather Data and Micrometeological Flux-Impacts on Evapotranspiration Calculation

Abstract

Quality assessment and control (correction) of weather data are essential to calculation of accurate and representative reference ET and to avoid biases in data. Simple visual (graphics-based) methods are presented that can be used to screen and correct large amounts of data. In the case of solar radiation, theoretical clear sky solar radiation is compared against for daily and hourly time periods. A simple least-square multiple linear regression method appears to be helpful in identifying components of eddy covariance that need adjustment to close the energy balance. The method offers an alternative to distributing error according to Bowen ratio and it provides corrections (regression coefficients) for H, LE and for soil heat flux. © 2008, The Society of Agricultural Meteorology of Japan. All rights reserved.