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

Viewed

Total article views: 2,877 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,013 786 78 2,877 35 38
  • HTML: 2,013
  • PDF: 786
  • XML: 78
  • Total: 2,877
  • BibTeX: 35
  • EndNote: 38
Views and downloads (calculated since 14 Jun 2021)
Cumulative views and downloads (calculated since 14 Jun 2021)

Viewed (geographical distribution)

Total article views: 2,877 (including HTML, PDF, and XML) Thereof 2,757 with geography defined and 120 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Apr 2024
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.