Published January 14, 2024 | Version 2.0
Model Open

Global gridded crop model ACEA

Creators

  • 1. Multidisciplinary Water Management group, Faculty of Engineering Technology, University of Twente, Enschede, the Netherlands

Contributors

  • 1. Multidisciplinary Water Management group, Faculty of Engineering Technology, University of Twente, Enschede, the Netherlands

Description

AquaCrop-Earth@lternatives (ACEA) is a global gridded crop model that can estimate crop yield and evapotranspiration (ET) distinguishing three water types: green water, blue water from capillary rise, and blue water from irrigation. ACEA is based on AquaCrop-OSPy (Kelly and Foster, 2021) which simulates daily crop growth and the vertical soil water balance using crop, soil, climate, field and irrigation management data (Mialyk et al., 2022). The 2.0 version was recently applied to simulate the water footprints of 175 crops in 1990–2019 (Mialyk et al., 2024).

For the detailed model description, please refer to Mialyk et al. (2022). For instructions, please refer to Readme.pdf.

Some technical information is provided below:

Programming language Python
Core model AquaCrop-OSPy version 6.1
Resolution 30 arcminute (global, national, separate grid cells)
Number of supported crops 55 (e.g. rice, wheat, tomatoes, soybeans, apple, coconut etc)
Main inputs Global annual CO2; gridded daily climate; gridded soil and groundwater data; crop-specific parameters (some are gridded); subnational crop calendars; gridded rainfed and irrigated harvested areas
Extra features Green-blue water accounting, water footprint calculation, parallel computation

Files

Readme.pdf

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Additional details

Related works

Is continued by
Data paper: 10.1038/s41597-024-03051-3 (DOI)
Is described by
Journal article: 10.5194/hess-26-923-2022 (DOI)

Dates

Created
2021
1.0 version is created and applied for maize (Mialyk et al., 2022)
Updated
2023
2.0 version created able to run 55 individual crops including perennial ones (Mialyk et al., 2024)

Software

Programming language
Python
Development Status
Active

References

  • Mialyk, O., Schyns, J. F., Booij, M. J., and Hogeboom, R. J.: Historical simulation of maize water footprints with a new global gridded crop model ACEA, Hydrol. Earth Syst. Sci., 26, 923–940, https://doi.org/10.5194/hess-26-923-2022, 2022.
  • Kelly, T. D. and Foster, T.: AquaCrop-OSPy: Bridging the gap between research and practice in crop-water modeling, Agricultural Water Management, 254, 106976, https://doi.org/10.1016/j.agwat.2021.106976, 2021.
  • Mialyk, O., Schyns, J. F., Booij, M. J., Su, H., Hogeboom, R. J., and Berger, M.: Data underlying the publication: Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model, https://doi.org/10.4121/7B45BCC6-686B-404D-A910-13C87156716A, 2023.
  • Mialyk, O., Schyns, J. F., Booij, M. J., Su, H., Hogeboom, R. J., and Berger, M.: Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model, Sci Data, 11, 206, https://doi.org/10.1038/s41597-024-03051-3, 2024.