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. The continuous measurement of H 2 O fluxes using theeddy covariance (EC) technique is still challenging for forests because oflarge amounts of wet canopy evaporation ( EWC) , which occur during andfollowing rain events when the EC systems rarely work correctly. We proposea new gap-filling and partitioning technique for the H 2 O fluxes: amodel–statistics hybrid (MSH) method. It enables the recovery of the missing EWC in the traditional gap-filling method and the partitioning of theevapotranspiration (ET) into transpiration and (wet canopy) evaporation. Wetested and validated the new method using the data sets from two flux towers,which are located at forests in hilly and complex terrains. The MSHreasonably recovered the missing EWC of 16–41 mm yr −1 and separated it from the ET (14–23 % of theannual ET). Additionally, we illustrated certain advantages of the proposedtechnique which enable us to understand better how ET responds toenvironmental changes and how the water cycle is connected to the carboncycle in a forest ecosystem.

New gap-filling and partitioning technique for H&lt;sub&gt;2&lt;/sub&gt;O eddy fluxes measured over forests

New gap-filling and partitioning technique for H<sub>2</sub>O eddy fluxes measured over forests