Yao Y., Liang S., Li X., Chen J., Liu S., Zhang X., Xiao Z., Fisher J.B., Mu Q., Pan M., Liu M., Cheng J., Jiang B., Xie X., Grünwald T., Bernhofer C., Roupsard O.
2017
Terrestrial evapotranspiration (ET) for each plant functional type (PFT) is a key variable for linking the energy, water and carbon cycles of the atmosphere, hydrosphere and biosphere. Process-based algorithms have been widely used to estimate global terrestrial ET, yet each ET individual algorithm has exhibited large uncertainties. In this study, the support vector machine (SVM) method was ...
Météorologie et climatologie; Conservation de la nature et ressources foncières; Méthodes mathématiques et statistiques; Chimie et physique du sol
2017
Terrestrial evapotranspiration (ET) for each plant functional type (PFT) is a key variable for linking the energy, water and carbon cycles of the atmosphere, hydrosphere and biosphere. Process-based algorithms have been widely used to estimate global terrestrial ET, yet each ET individual algorithm has exhibited large uncertainties. In this study, the support vector machine (SVM) method was ...
Météorologie et climatologie; Conservation de la nature et ressources foncières; Méthodes mathématiques et statistiques; Chimie et physique du sol