Articles | Volume 26, issue 4
https://doi.org/10.5194/hess-26-941-2022
https://doi.org/10.5194/hess-26-941-2022
Research article
 | 
18 Feb 2022
Research article |  | 18 Feb 2022

Reconstructing climate trends adds skills to seasonal reference crop evapotranspiration forecasting

Qichun Yang, Quan J. Wang, Andrew W. Western, Wenyan Wu, Yawen Shao, and Kirsti Hakala

Viewed

Total article views: 1,790 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,335 414 41 1,790 140 24 30
  • HTML: 1,335
  • PDF: 414
  • XML: 41
  • Total: 1,790
  • Supplement: 140
  • BibTeX: 24
  • EndNote: 30
Views and downloads (calculated since 29 Sep 2021)
Cumulative views and downloads (calculated since 29 Sep 2021)

Viewed (geographical distribution)

Total article views: 1,790 (including HTML, PDF, and XML) Thereof 1,686 with geography defined and 104 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Mar 2024
Download
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.