Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 9
Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-4773-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-4773-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 9
Research article
 | 
02 Sep 2021
Research article |  | 02 Sep 2021

Bias-correcting input variables enhances forecasting of reference crop evapotranspiration

Qichun Yang, Quan J. Wang, Kirsti Hakala, and Yating Tang

Viewed

Total article views: 2,338 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,478 788 72 2,338 207 46 58
  • HTML: 1,478
  • PDF: 788
  • XML: 72
  • Total: 2,338
  • Supplement: 207
  • BibTeX: 46
  • EndNote: 58
Views and downloads (calculated since 04 Feb 2021)
Cumulative views and downloads (calculated since 04 Feb 2021)

Viewed (geographical distribution)

Total article views: 2,338 (including HTML, PDF, and XML) Thereof 2,136 with geography defined and 202 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Forecasts of water losses from land surface to the air are highly valuable for water resource management and planning. In this study, we aim to fill a critical knowledge gap in the forecasting of evaporative water loss. Model experiments across Australia clearly suggest the necessity of correcting errors in input variables for more reliable water loss forecasting. We anticipate that the strategy developed in our work will benefit future water loss forecasting and lead to more skillful forecasts.
Read more