Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 4
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.
https://doi.org/10.5194/hess-26-941-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 4
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

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Alizadeh-Choobari, O., Qadimi, M., and Marjani, S.: Evaluation of 2-m temperature and precipitation products of the Climate Forecast System version 2 over Iran, Dynam. Atmos. Oceans, 88, 101105, https://doi.org/10.1016/j.dynatmoce.2019.101105, 2019. 
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: FAO Irrigation and drainage paper No.56, Crop evapotranspiration: guidelines for computing crop water requirements, Food and Agriculture Organization of the United Nations (FAO), Rome, Italy, 1998. 
Anderson, R. G., Wang, D., Tirado-Corbalá, R., Zhang, H., and Ayars, J. E.: Divergence of actual and reference evapotranspiration observations for irrigated sugarcane with windy tropical conditions, Hydrol. Earth Syst. Sci., 19, 583–599, https://doi.org/10.5194/hess-19-583-2015, 2015. 
Bedia, J., Golding, N., Casanueva, A., Iturbide, M., Buontempo, C., and Gutiérrez, J. M.: Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe, Climate Services, 9, 101–110, https://doi.org/10.1016/j.cliser.2017.04.001, 2018. 
Byrne, M. P. and Gorman, P. A. O.: Trends in continental temperature and humidity directly linked to ocean warming, P. Natl. Acad. Sci. USA, 115, 4863–4868, https://doi.org/10.1073/pnas.1722312115, 2018. 
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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.
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