涡度相关法测定旱区玉米通量数据的校正方法研究

ccurate flux data is necessary for understanding mass and energy exchanges between canopy surface and the atmosphere. The systematical corrections of EC observations were carried out, and fluxes data of maize field were obtained. The frequency response and the air density corrections had a greater impact on 10 Hz raw latent heat flux (λET) measured by EC. The Virtual temperature correction had a greater impact on 10 Hz raw sensible heat flux (Hs) measured by EC. After overall corrections on the raw data measured by EC, λET was increased by 9.1%, and Hs increased by 4.2% during the whole growing seasons of maize. This paper indicates that it is necessary to correct the raw data of eddy covariance system to ensure the quality of flux data.