Linking the complementary evaporation relationship with the Budyko framework for ungauged areas in Australia

Kim, Daeha; Choi, Minha; Chun, Jong Ahn

doi:https://doi.org/10.5194/hess-26-5955-2022

Articles | Volume 26, issue 23

https://doi.org/10.5194/hess-26-5955-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-26-5955-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 23

Research article

|

30 Nov 2022

Research article |

| 30 Nov 2022

Linking the complementary evaporation relationship with the Budyko framework for ungauged areas in Australia

Daeha Kim, Minha Choi, and Jong Ahn Chun

Data sets

CAMELS-AUS: hydrometeorological time series and landscape attributes for 222 catchments in Australia Fowler et al. https://doi.org/10.5194/essd-13-3847-2021

G-RUN ENSEMBLE: A multi-forcing observation-based global runoff reanalysis Ghiggi et al. https://doi.org/10.1029/2020WR028787

The FLUXCOM ensemble of global land-atmosphere energy fluxes Jung et al. https://doi.org/10.1038/s41597-019-0076-8

GLEAM v3: satellite-based land evaporation and root-zone soil moisture Martens et al. https://doi.org/10.5194/gmd-10-1903-2017

ERA5-Land: a state-of-the-art global reanalysis dataset for land applications Muñoz-Sabater et al. https://doi.org/10.5194/essd-13-4349-2021

Short summary

We proposed a practical method that predicts the evaporation rates on land surfaces (ET) where only atmospheric data are available. Using a traditional equation that describes partitioning of precipitation into ET and streamflow, we could approximately identify the key parameter of the predicting formulation based on land–atmosphere interactions. The simple method conditioned by local climates outperformed sophisticated models in reproducing water-balance estimates across Australia.