EGU24-577, updated on 08 Mar 2024
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

evapoRe: An R-based application for exploratory data analysis of evapotranspiration 

Akbar Rahmati Ziveh, Mijael Rodrigo Vargas Godoy, Vishal Thakur, Johanna R. Thomson, Martin Hanel, and Yannis Markonis
Akbar Rahmati Ziveh et al.
  • Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Praha-Suchdol 16500, Czech Republic

Evapotranspiration (ET) is a key climate indicator closely related to the water, energy, and carbon cycles. ET datasets are produced using various methods, including satellite-based observations, hydrological models, and reanalysis. However, relying on a single ET product might lead to high uncertainty due to the spatio-temporal inhomogeneity of the dataset, highlighting the crucial need for multiple available options. evapoRe addresses the pressing issue of inhomogeneous ET datasets. This package (available at is a pivotal tool in a landscape where diverse organizations and data providers implement varying criteria, resulting in inconsistent ET datasets. evapoRe facilitates the downloading, exploration, visualization, and analysis of ET data at monthly time step and 0.25 resolution (BESS v2.0, CAMELE, ERA5, ERA5-Land, GLEAM v3.7a, JRA-55, FLDAS, GLDAS-CLSM v2.1, GLDAS-NOAH v2.1, GLDAS-VIC v2.1, TerraClimate, MERRA-2, and ETMonitor). Further, with evapoRe, Potential ET (PET) can be calculated using temperature-based methods. In this way, evapoRe enhances ET and PET analysis by integrating diverse datasets, empowering researchers to understand water cycle change and refine models for predicting droughts and climate impacts, fundamentally advancing hydrological and climate science. 

How to cite: Rahmati Ziveh, A., Rodrigo Vargas Godoy, M., Thakur, V., R. Thomson, J., Hanel, M., and Markonis, Y.: evapoRe: An R-based application for exploratory data analysis of evapotranspiration , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-577,, 2024.