English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

. Evaporation is a crucial flux in the hydrological cycle and links the waterand energy balance of a catchment. The Budyko framework is often used toprovide a first-order estimate of evaporation, as it is a straightforwardmodel with only rainfall and potential evaporation as required input. Manyresearchers have improved the Budyko framework by including more physics and catchment characteristics in the original equation. However, theparameterization of these improved Budyko models is not so straightforward,is data demanding, and requires local knowledge that is difficult to obtain atthe global scale. In this paper we present an improvement of the previouslypresented Gerrits' model (“Analytical derivation of the Budyko curve basedon rainfall characteristics and a simple evaporation model” in Gerrits etal., 2009 WRR), whereby total evaporation is calculated on the basis ofsimple interception and transpiration thresholds in combination withmeasurable parameters like rainfall dynamics and storage availability fromremotely sensed data sources. While Gerrits' model was previouslyinvestigated for 10 catchments with different climate conditions and wheresome parameters were assumed to be constant, in this study we applied themodel at the global scale and fed the model with remotely sensed input data. The output of the model has been compared to two complex land-surfacemodels, STEAM and GLEAM, as well as the database of Landflux-EVAL. Ourresults show that total evaporation estimated by Gerrits' model is in goodagreement with Landflux-EVAL, STEAM, and GLEAM. The results also show thatGerrits' model underestimates interception in comparison to STEAM andoverestimates it in comparison to GLEAM, whereas the opposite is found fortranspiration. Errors in interception can partly be explained by differences in the definition of interception that successively introduce errors in the calculation of transpiration. Relating to the Budyko framework, the model shows a reasonable performance for the estimation of total evaporation. The results also found a unimodal distribution of the transpiration to precipitation fraction (EtP), indicating that both increasing and decreasing aridity will result in a decline in the fraction of transpired rainfall by plants for growth and metabolism.

A global Budyko model to partition evaporation into interception and transpiration