Articles | Volume 26, issue 4
https://doi.org/10.5194/hess-26-941-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-941-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Feb 2022
Research article |
| 18 Feb 2022
| 18 Feb 2022
Reconstructing climate trends adds skills to seasonal reference crop evapotranspiration forecasting
Qichun Yang
CORRESPONDING AUTHOR
Department of Infrastructure Engineering, University of Melbourne,
Parkville, VIC 3010, Australia
Quan J. Wang
Department of Infrastructure Engineering, University of Melbourne,
Parkville, VIC 3010, Australia
Andrew W. Western
Department of Infrastructure Engineering, University of Melbourne,
Parkville, VIC 3010, Australia
Wenyan Wu
Department of Infrastructure Engineering, University of Melbourne,
Parkville, VIC 3010, Australia
Yawen Shao
Department of Infrastructure Engineering, University of Melbourne,
Parkville, VIC 3010, Australia
Kirsti Hakala
Department of Infrastructure Engineering, University of Melbourne,
Parkville, VIC 3010, Australia
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Short summary
Forecasts of evaporative water loss in the future are highly valuable for water resource management. These forecasts are often produced using the outputs of climate models. We developed an innovative method to correct errors in these forecasts, particularly the errors caused by deficiencies of climate models in modeling the changing climate. We apply this method to seasonal forecasts of evaporative water loss across Australia and achieve significant improvements in the forecast quality.
Forecasts of evaporative water loss in the future are highly valuable for water resource...
