Abstract. The errors and uncertainties associated with gap-filling algorithms of water, carbon, energy fluxes data have always been one the main challenges global network microclimatological tower sites that use eddy covariance (EC) technique. To address these concerns find more efficient algorithms, we reviewed eight to estimate missing values environmental drivers nine for three major typical...

Monitoring net ecosystem carbon dioxide (CO2) exchange (NEE) using eddy covariance (EC) flux towers is quite common, but the measurements are valid at scale of tower footprints. Alternative ways to quantify and extrapolate EC-measured NEE across potential production areas have not been explored in detail. To address this need, we used from a switchgrass (Panicum virgatum L.) detailed meteorolog...