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Towards a universal evapotranspiration model based on optimality principles

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  • معلومة اضافية
    • بيانات النشر:
      Elsevier B.V.
    • الموضوع:
      2023
    • Collection:
      Imperial College London: Spiral
    • نبذة مختصرة :
      Natural resource management requires knowledge of terrestrial evapotranspiration (ET). Most existing numeric models for ET include multiple plant- or ecosystem-type specific parameters that require calibration. This is a significant source of uncertainty under changing environmental conditions. A novel ET model with no type−specific parameters was developed recently. Based on the coupling the diffusion (via stomata) of water and carbon dioxide (CO2), this model predicts canopy conductance based on environmental conditions using eco-evolutionary optimality principles that apply to all plant types. Transpiration (T) and ET are calculated from canopy conductance using the Penman-Monteith equation for T and a universal empirical function for the T:ET ratio. Here, the model is systematically evaluated at globally distributed eddy-covariance sites and river basins. Site-scale modelled ET agrees well with flux data (r = 0.81, root mean square error = 0.73 mm day–1 in 23,623 records) and modelled ET in 39 river basins agrees well with the ET estimated by monthly water budget using two runoff datasets (r = 0.62 and 0.66, respectively). Modelled global patterns of ET are consistent with existing global ET products. The model's universality, parsimony and accuracy combine to indicate a broad potential field of application in resource management and global change science.
    • ISSN:
      0168-1923
    • Relation:
      Agricultural and Forest Meteorology; http://hdl.handle.net/10044/1/104192
    • الرقم المعرف:
      10.1016/j.agrformet.2023.109478
    • Rights:
      © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). ; https://creativecommons.org/licenses/by-nc-nd/4.0/
    • الرقم المعرف:
      edsbas.37946FCE