Provides functions to estimate daily reference evapotranspiration
(ET0) using 10 mass transfer-based empirical models, with the Food and
Agriculture Organization (FAO) Penman-Monteith method included as the
standard reference for model comparison. Includes statistical evaluation
metrics, such as Nash-Sutcliffe efficiency (NSE), root mean square error
(RMSE), mean absolute error (MAE), and mean bias error (MBE), and
visualization tools (scatter plots and Taylor diagrams). Based on
Singh et al. (2026)
ET0MassModels provides 10 mass transfer-based empirical models for estimating daily reference evapotranspiration (ET0), with the FAO Penman-Monteith standard method as the reference, statistical evaluation metrics, and visualization tools.
Install from CRAN:
install.packages("ET0MassModels")
Or install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("samirigfri/ET0MassModels")
library(ET0MassModels)
# Compute ET0 using all 10 mass transfer-based models for a single day
result <- et0_mass_all(
Tmin = 15, Tmax = 35,
RH_morning = 90, RH_evening = 40,
u2 = 1.5, n = 9, J = 172,
lat = 25.43, z = 216
)
# Evaluate model performance against FAO-PM
data(jhansi_weather)
full <- et0_mass_all(
Tmin = jhansi_weather$Tmin,
Tmax = jhansi_weather$Tmax,
RH_morning = jhansi_weather$RH_morning,
RH_evening = jhansi_weather$RH_evening,
u2 = jhansi_weather$WS,
n = jhansi_weather$SSH,
J = jhansi_weather$J,
lat = 25.43, z = 216
)
metrics <- evaluate_models(full$FAO_PM, full[, -1])
print(metrics)
| # | Model | Function |
|---|---|---|
| Reference | FAO Penman-Monteith | et0_fao_pm() |
| 1 | Dalton (1802) | et0_dalton() |
| 2 | Trabert (1896) | et0_trabert() |
| 3 | Meyer (1926) | et0_meyer() |
| 4 | Rohwer (1931) | et0_rohwer() |
| 5 | Penman (1948) | et0_penman() |
| 6 | Albrecht (1950) | et0_albrecht() |
| 7 | WMO (1966) | et0_wmo() |
| 8 | Brockamp-Wenner (1963) | et0_brockamp_wenner() |
| 9 | Romanenko (1961) | et0_romanenko() |
| 10 | Mahringer (1970) | et0_mahringer() |
citation("ET0MassModels")
Satpute, A.N., Barman, S., Singh, A.K., Ghosh, A., & Gupta, G. (2026). A multi-scale evaluation of 30 empirical models for reference evapotranspiration estimation in a data-scarce semi-arid region: A case study of Jhansi, India. Journal of Hydrology: Regional Studies. https://doi.org/10.1016/j.ejrh.2026.103925
GPL (>= 3)