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A Cpp-based R package featuring multiple (potential) evapotranspiration algorithms

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hydroET

License: GPL v3 GitHub last commit

An R package related to evapotranspiration research.

Installation

You can install the hydroET from github:

remotes::install_github('cug-xyx/hydroET')

PET / ET models

Function name Model name Status Language
ET_CR_Ma Calibration-free complementary relationship (CR) model R
PET_Penman1948 Penman 1948 model cpp
PET_PT1972 Priestley-Taylor model cpp
PET_Yang2019 Maximum evaporation model cpp
PET_Zhou2024 Energy-based PET (PETe) cpp
ET_summary A data.frame containing various types of evapotranspiration results

Attribution Framework

  • Elasticity Coefficient Method (ECM)

TODO

  • Accuracy of inverse function to derive TwsandTwb
  • Calibration of alpha (Appendix B in Ma and Szilagyi, 2019)
  • Check ET_CR_Ma and ET_CR_Ma_ref, which one is the correct algorithm
  • Develop convenient functions to directly download ET/PET forcing data on GEE
    • site scale
    • grid scale
  • Maximum Evaporation Theory (Yuting Yang, Zhuoyi Tu)
  • PET algorithm developed by Zhou & Yu (2024)
  • Develop cpp version functions
  • Update doc
  • Using use method to process SpatRaster object
  • Add references in doc
  • Deploy gh-pages

References

  • Ma, Ning, Jozsef Szilagyi, and Yongqiang Zhang. “Calibration‐Free Complementary Relationship Estimates Terrestrial Evapotranspiration Globally.” Water Resources Research 57, no. 9 (2021). https://doi.org/10.1029/2021WR029691.
  • Tu, Zhuoyi, and Yuting Yang. “On the Estimation of Potential Evaporation Under Wet and Dry Conditions.” Water Resources Research 58, no. 4 (2022). https://doi.org/10.1029/2021WR031486.
  • Zhou, Sha, and Bofu Yu. “Physical Basis of the Potential Evapotranspiration and Its Estimation over Land.” Journal of Hydrology 641 (September 2024): 131825. https://doi.org/10.1016/j.jhydrol.2024.131825.
  • Zhou, Sha, and Bofu Yu. “Neglecting Land–Atmosphere Feedbacks Overestimates Climate-Driven Increases in Evapotranspiration.” Nature Climate Change, 1–8 (September 11, 2025). https://doi.org/10.1038/s41558-025-02428-5.

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A Cpp-based R package featuring multiple (potential) evapotranspiration algorithms

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