Digital storage
; Energy balance
; Forestry
; Heat flux
; Heat storage
; Latent heat
; Solar radiation
; Temperature measurement
; Temperature sensors
; Uncertainty analysis
; Wind
; Air temperature measurement
; Distributed temperature sensing
; Eddy covariance data
; Measured temperatures
; Monin-Obukhov similarity theory
; Sensible and latent heat fluxes
; Vertical temperature profile
; Wet bulb temperature
; Atmospheric temperature
; air temperature
; Bowen ratio
; eddy covariance
; energy balance
; energy storage
; forest canopy
; latent heat flux
; measurement method
; mixed forest
; quality control
; sensible heat flux
; solar radiation
; spatial resolution
; temperature gradient
; tree
; Netherlands
Delft University of Technology, Water Resources Section, Stevinweg 1, Delft, Netherlands; University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Hengelosestraat 99, Enschede, Netherlands; Tecnológico de Costa Rica, Escuela de Ingeniería Forestal, Cartago, Costa Rica
Recommended Citation:
Schilperoort B,, Coenders-Gerrits M,, Luxemburg W,et al. Technical note: Using distributed temperature sensing for Bowen ratio evaporation measurements[J]. Hydrology and Earth System Sciences,2018-01-01,22(1)