“…Although the strategies to compute sensitivity and uncertainty in energy fluxes, such as sensible heat flux, differ among studies, many of the studies mentioned above have narrow domains of the local tower or in situ station scale (e.g., Alton et al, ; Cammalleri et al, ; Chehbouni et al, ; Marx et al, ; Sanchez et al, ), catchment scale (e.g., Metzger et al, ; Long et al, ; Wang et al, ), or the regional scale (e.g., (Boisier et al, ; Bounoua et al, ; Hou et al, ; Timmermans et al, ), with only Jung et al () at the global scale. Additionally, several of these studies evaluate a lengthy list of parameters, but the most commonly examined parameters and input data sets for sensible heat flux estimates examined are temperatures (e.g., (Alton et al, ; Chehbouni et al, ; Cammalleri et al, ; Long et al, ; Marx et al, ; Sanchez et al, ; Timmermans et al, ; Xu et al, ; Zhan et al, ), including the temperature gradient between the LST and the air temperature (e.g., Gibson et al, ), wind speed (e.g., (Alton et al, ; Long et al, ; Marx et al, ; Sanchez et al, ; Timmermans et al, ; Zhan et al, ), and the aerodynamic properties of the vegetation such as the roughness length for momentum (e.g., Long et al, ; Marx et al, ; Sanchez et al, ; Timmermans et al, ; Xu et al, ; Zhan et al, ), leaf area index (e.g., Alton et al, ; Sanchez et al, ; Timmermans et al, ; Zhan et al, ), a vegetation index such as normalized difference vegetation index (e.g., Timmermans et al, ; Zhan et al, ) or the enhanced vegetation index (e.g., Xu et al, ), or displacement height and fractional vegetation cover (e.g., Tang et al, ; Tang & Li, ).…”