Articles | Volume 26, issue 4
https://doi.org/10.5194/hess-26-1111-2022
https://doi.org/10.5194/hess-26-1111-2022
Research article
 | 
25 Feb 2022
Research article |  | 25 Feb 2022

Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data

Alby Duarte Rocha, Stenka Vulova, Christiaan van der Tol, Michael Förster, and Birgit Kleinschmit

Model code and software

Christiaanvandertol/SCOPE: SCOPEv2.0 (v2.0) C. van der Tol, Prikaziuk, and akornfeld https://doi.org/10.5281/zenodo.4309327

AlbyDR/rSCOPE: rSCOPE v1.0 (Evapotranspiration) A. Duarte Rocha https://doi.org/10.5281/zenodo.6204580

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Short summary
Evapotranspiration (ET) is a sum of soil evaporation and plant transpiration. ET produces a cooling effect to mitigate heat waves in urban areas. Our method uses a physical model with remote sensing and meteorological data to predict hourly ET. Designed for uniform vegetation, it overestimated urban ET. To correct it, we create a factor using vegetation fraction that proved efficient for reducing bias and improving accuracy. This approach was tested on two Berlin sites and can be used to map ET.