Estimation of Sensible Heat, Latent Heat, and CO2 Fluxes Using Flux-Variance Method

• Main Authors: Mei-Chun Lai, 賴玫君
• Other Authors: Cheng-I Hsieh
• Format: Others
• Language: en_US
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/64025504917866042734

碩士 === 國立臺灣大學 === 生物環境系統工程學研究所 === 95 === This study predicted sensible heat (H), latent heat (LE), and CO2 fluxes (FCO2) by the Flux-Variance Method (FVM) and examined the performance of this method by eddy-correlation measured flux data at three different surface types: grassland, paddy rice field, and forest. The H and LE estimations were in good agreement with the measurements over the three ecosystems. However, the CO2 flux predictions were not good; this is attributed to the complicated CO2 sources and sinks distribution. Nevertheless, the prediction accuracy of LE and FCO2 could be improved by around 15 percent if the predictions were obtained with the measured sensible heat flux. Based on our results, we suggest that it is necessary to determine the adequate similarity constants for varied scalars and sites (ecosystems) before applying FVM for predicting surface fluxes.