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Abstract. EvapoTranspiration (ET) is an important component of the water cycle,especially in semi-arid lands. Its quantification is crucial for asustainable management of scarce water resources. A way to quantify ET is toexploit the available surface temperature data from remote sensing as asignature of the surface energy balance, including the latent heat flux.Remotely sensed energy balance models enable to estimate stress levels and,in turn, the water status of most continental surfaces. The evaporation andtranspiration components of ET are also just as important in agriculturalwater management and ecosystem health monitoring. Single temperatures can beused with dual source energy balance models but rely on specific assumptionson raw levels of plant water stress to get both components out of a singlesource of information. Additional information from remote sensing data arethus required, either something specifically related to evaporation (such assurface water content) or transpiration (such as PRI or fluorescence). Thisworks evaluates the SPARSE dual source energy balance model ability tocompute not only total ET, but also water stress andtranspiration/evaporation components. First, the theoretical limits of the ETcomponent retrieval are assessed through a simulation experiment using bothretrieval and prescribed modes of SPARSE with the sole surface temperature. Asimilar work is performed with an additional constraint, the topsoil surfacesoil moisture level, showing the significant improvement on the retrieval.Then, a flux dataset acquired over rainfed wheat is used to check therobustness of both stress levels and ET retrievals. In particular, retrievalof the evaporation and transpiration components is assessed in bothconditions (forcing by the sole temperature or the combination of temperatureand soil moisture). In our example, there is no significant difference in theperformance of the total ET retrieval, since the evaporation rate retrievedfrom the sole surface temperature is already fairly close to the one we canreconstruct from observed surface soil moisture time series, but current workis underway to test it over other plots.

Evapotranspiration and evaporation/transpiration partitioning with dual source energy balance models in agricultural lands