| Title: |
Towards a universal evapotranspiration model based on optimality principles |
| Authors: |
Tan, S; Wang, H; Prentice, IC; Yang, K; Nóbrega, RLB; Liu, X; Wang, Y; Yang, Y |
| Source: |
11 ; 1 |
| Publisher Information: |
Elsevier B.V. |
| Publication Year: |
2023 |
| Collection: |
Imperial College London: Spiral |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
Agricultural and Forest Meteorology; http://hdl.handle.net/10044/1/104192 |
| DOI: |
10.1016/j.agrformet.2023.109478 |
| Availability: |
http://hdl.handle.net/10044/1/104192; https://doi.org/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/ |
| Accession Number: |
edsbas.37946FCE |
| Database: |
BASE |