Preprints
https://doi.org/10.5194/hess-2017-306
https://doi.org/10.5194/hess-2017-306

  08 Jun 2017

08 Jun 2017

Review status: this discussion paper is a preprint. It has been under review for the journal Hydrology and Earth System Sciences (HESS). The manuscript was not accepted for further review after discussion.

A simple global Budyko model to partition evaporation into interception and transpiration

Ameneh Mianabadi1,2, Miriam Coenders-Gerrits2, Pooya Shirazi1, Bijan Ghahraman1, and Amin Alizadeh1 Ameneh Mianabadi et al.
  • 1Ferdowsi University of Mashhad, Mashhad, Iran
  • 2Delft University of Technology, Delft, The Netherlands

Abstract. Evaporation is a very important flux in the hydrological cycle and links the water and energy balance of a catchment. The Budyko framework is often used to provide a first order estimate of evaporation, since it is a simple model where only rainfall and potential evaporation is required as input. Many researchers have tried to improve the Budyko framework by including more physics and catchment characteristics into the original equation. However, this often resulted in additional parameters, which are unknown or difficult to determine. In this paper we present an improvement of the previously presented Gerrits' model (Analytical derivation of the Budyko curve based on rainfall characteristics and a simple evaporation model in Gerrits et al., 2009 WRR), whereby total evaporation is calculated on the basis of simple interception and transpiration thresholds in combination with measurable parameters like rainfall dynamics and storage availability from remotely sensed data sources. While Gerrits' model was investigated for 10 catchments with different climate conditions and also some parameters were assumed to be constant, in this study we applied the model on the global scale and it was fed with remotely sensed input data. The output of the model is compared to two complex land–surface models STEAM and GLEAM, as well as the database of Landflux-EVAL. Our results showed that total evaporation estimated by Gerrits' model is in good agreement with Landflux-EVAL, STEAM and GLEAM. Results also show that Gerrits’ model underestimated interception in comparison to STEAM and overestimated in comparison to GLEAM, while for transpiration the opposite was found. Errors in interception can partly be explained by differences in the interception definition that successively introduce errors in the calculation of transpiration. Comparing to the Budyko framework, the model showed a good performance for total evaporation estimation and the results are closer to Ol'dekop than Schreiber, Pike and Budyko curves.

Ameneh Mianabadi et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Ameneh Mianabadi et al.

Ameneh Mianabadi et al.

Viewed

Total article views: 1,761 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,184 541 36 1,761 41 56
  • HTML: 1,184
  • PDF: 541
  • XML: 36
  • Total: 1,761
  • BibTeX: 41
  • EndNote: 56
Views and downloads (calculated since 08 Jun 2017)
Cumulative views and downloads (calculated since 08 Jun 2017)

Viewed (geographical distribution)

Total article views: 1,706 (including HTML, PDF, and XML) Thereof 1,690 with geography defined and 16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Sep 2021
Download
Short summary
Estimating evaporation at the global scale remains challenging, while it is utmost importance for food security, hydrological modelling, and flood or drought forecasting. In this paper we present a simple analytical model that can estimate evaporation (both transpiration and interception evaporation) just based on remotely sensed data sources. Despite its simplicity it is able to model evaporation well in comparison to complex land surface models.