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AquaCrop-OS: An open source version of FAO's crop water productivity model

Author

Listed:
  • Foster, T.
  • Brozović, N.
  • Butler, A.P.
  • Neale, C.M.U.
  • Raes, D.
  • Steduto, P.
  • Fereres, E.
  • Hsiao, T.C.

Abstract

Crop simulation models are valuable tools for quantifying crop yield response to water, and for devising strategies to improve agricultural water management. However, applicability of the majority of crop models is limited greatly by a failure to provide open-access to model source code. In this study, we present an open-source version of the FAO AquaCrop model, which simulates efficiently water-limited crop production across diverse environmental and agronomic conditions. Our model, called AquaCrop-OpenSource (AquaCrop-OS), can be run in multiple programming languages and operating systems. Support for parallel execution reduces significantly simulation times when applying the model in large geospatial frameworks, for long-run policy analysis, or for uncertainty assessment. Furthermore, AquaCrop-OS is compliant with the Open Modelling Interface standard facilitating linkage to other disciplinary models, for example to guide integrated water resources planning.

Suggested Citation

  • Foster, T. & Brozović, N. & Butler, A.P. & Neale, C.M.U. & Raes, D. & Steduto, P. & Fereres, E. & Hsiao, T.C., 2017. "AquaCrop-OS: An open source version of FAO's crop water productivity model," Agricultural Water Management, Elsevier, vol. 181(C), pages 18-22.
    • Handle: RePEc:eee:agiwat:v:181:y:2017:i:c:p:18-22
    DOI: 10.1016/j.agwat.2016.11.015
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    References listed on IDEAS

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    1. Corentin Girard & Jean-Daniel Rinaudo & Manuel Pulido-Velazquez & Yvan Caballero, 2015. "An interdisciplinary modelling framework for selecting adaptation measures at the river basin scale in a global change scenario," Post-Print hal-01183833, HAL.
    2. Kim, Daeha & Kaluarachchi, Jagath, 2015. "Validating FAO AquaCrop using Landsat images and regional crop information," Agricultural Water Management, Elsevier, vol. 149(C), pages 143-155.
    3. Richard Taylor, 2014. "When wells run dry," Nature, Nature, vol. 516(7530), pages 179-180, December.
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