Calibrating anomalies improves forecasting of daily reference crop evapotranspiration

Qichun Yang; Quan J Wang; Kirsti Hakala

Journal article

Calibrating anomalies improves forecasting of daily reference crop evapotranspiration

Qichun Yang, Quan J Wang, Kirsti Hakala

Journal of Hydrology | Elsevier | Published : 2022

DOI: 10.1016/j.jhydrol.2022.128009

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Abstract

Forecasting of short-term reference crop evapotranspiration (ETo) provides valuable information for hydrological, agricultural, and ecological applications. ETo forecasts can be derived from weather forecasts of Numerical Weather Prediction (NWP) models, but such raw forecasts need to be calibrated to correct errors and improve reliability. This study calibrates the short-term ETo forecasts constructed with weather forecasts from the Australian Bureau of Meteorology's Australian Community Climate and Earth-System Simulator G2 version (ACCESS-G2) model, using the recently developed Seasonally Coherent Calibration (SCC) model. The monthly parameterization of the SCC model will not be able to c..

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University of Melbourne Researchers

Qichun Yang Author

Q J Wang Author

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Water availability and demand: better forecasts, better management

This project aims to improve Australia’s capability in the provision and use of water forecasts for managing water resources. The current wa..

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Awarded by Australian Government

Awarded by Australian Research Council

Funding Acknowledgements

This study has been supported by a Collaborative Research Project (TP707466) between the University of Melbourne and the Australian Bureau of Meteorology and an ARC Linkage Project (LP170100922) . Computations of this research were undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI) , which is supported by the Australian Government. Computation hours were provided by the National Computational Infrastructure (NCI) LIEF Grant (LE190100021) and facilitated by The University of Melbourne.