We　propose　a　long-term　parameterization　scheme　for　two　critical　parameters,　zero-plane　displacement　height　(d)　and　aerodynamic　roughness　length　(z0m),　that　we　further　use　in　the　Surface　Energy　Balance　System　(SEBS).　A　sensitivity　analysis　of　SEBS　indicated　that　these　two　parameters　largely　impact　the　estimated　sensible　heat　and　latent　heat　fluxes.　First,　we　calibrated　regression　relationships　between　measured　forest　vertical　parameters　(Lorey＇s　height　and　the　frontal　area　index　(FAI))　and　forest　aboveground　biomass　(AGB).　Next,　we　derived　the　interannual　Lorey＇s　height　and　FAI　values　from　our　calibrated　regression　models　and　corresponding　forest　AGB　dynamics　that　were　converted　from　interannual　carbon　fluxes,　as　simulated　from　two　incorporated　ecological　models　and　a　2009　forest　basis　map　These　dynamic　forest　vertical　parameters,　combined　with　refined　eight-day　Global　LAnd　Surface　Satellite　(GLASS)　LAI　products,　were　applied　to　estimate　the　eight-day　d,　z0m,　and,　thus,　the　heat　roughness　length　(z0h).　The　obtained　d,　z0m　and　z0h　were　then　used　as　forcing　for　the　SEBS　model　in　order　to　simulate　long-term　forest　evapotranspiration　(ET)　from　2000　to　2012　within　the　Qilian　Mountains　(QMs).　As　compared　with　MODIS,　MOD16　products　at　the　eddy　covariance　(EC)　site,　ET　estimates　from　the　SEBS　agreed　much　better　with　EC　measurements　(R2　=　0.80　and　RMSE　=　0.21　mm·　day-1).　©　2015　by　the　authors.