Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 4
Articles | Volume 26, issue 4
https://doi.org/10.5194/hess-26-1111-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-1111-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 4
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

Viewed

Total article views: 4,171 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,897 1,160 114 4,171 92 111
  • HTML: 2,897
  • PDF: 1,160
  • XML: 114
  • Total: 4,171
  • BibTeX: 92
  • EndNote: 111
Views and downloads (calculated since 14 Jun 2021)
Cumulative views and downloads (calculated since 14 Jun 2021)

Viewed (geographical distribution)

Total article views: 4,171 (including HTML, PDF, and XML) Thereof 4,020 with geography defined and 151 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 05 Dec 2025
Download
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.
Read more
Share