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

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Revised manuscript under review for GMD
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Subject: Urban Hydrology | Techniques and Approaches: Remote Sensing and GIS
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Cited articles

Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration: Guidelines for computing crop requirements, FAO Irrigation and drainage paper 56, ISBN 92-5-104219-5, https://www.fao.org/3/x0490e/x0490e00.htm (last access: 14 November 2021), 1998. 
Allen, R. G., Walter, I. A., Elliott, R. L., Howell, T. A., Itenfisu, D., Jensen, M. E., and Snyder, R. L.: The ASCE Standardized Reference Evapotranspiration Equation, American Society of Civil Engineers, https://epic.awi.de/id/eprint/42362/1/ascestzdetmain2005.pdf (last access: 10 February 2021), 2005. 
Bauer-Marschallinger, B. and Paulik, C.: Copernicus Global Land Operations ”Vegetation and Energy”, Validation Report (QAR), SWI1km-V1_I1.11, https://land.copernicus.eu/global/sites/cgls.vito.be/files/products/CGLOPS1_SQE2020_SWI1km_I1.00.pdf (last access: 25 May 2021), 2019. 
Bayat, B., van der Tol, C., and Verhoef, W.: Integrating satellite optical and thermal infrared observations for improving daily ecosystem functioning estimations during a drought episode, Remote Sens. Environ., 209, 375–394, https://doi.org/10.1016/j.rse.2018.02.027, 2018. 
Devia, G. K., Ganasri, B. P., and Dwarakish, G. S.: A Review on Hydrological Models, Aquat. Procedia, 4, 1001–1007, https://doi.org/10.1016/j.aqpro.2015.02.126, 2015. 
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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.