Projections of actual and potential evapotranspiration from downscaled high-resolution CMIP6 climate simulations in Australia

Abstract. Quantifying the impact of climate change on actual and potential evapotranspiration (AET and PET) is essential for water security, agricultural production and environmental management. Using dynamically downscaled CMIP6 models at 10 km resolution, we assess AET and PET at a daily time step using the Morton method and projected future changes to both PET and AET under three emission scenarios (SSP126, 245, 370) for Australia. The performance of observation- and downscaled climate model-based AET is assessed against measured AET from 26 OzFlux sites in Australia. We show that high resolution downscaled climate models can provide reasonably accurate estimations of AET, with an ensemble mean error of 17 % for historical period 1981–2010. This compared favourably to observation- and reanalysis-based products, which reported mean errors ranging from 15.7 %–44 %. Annual average end-of-century AET projections for low and intermediate emission scenarios (SSP126 and SSP245) show a decrease of −4.5 % and −3.5 % respectively in Australia, while under high emissions (SSP370) AET was projected to increase by 1.8 %. In contrast, PET was projected to increase by 5.0 % for SSP126, 8.4 % for SSP245 and 11.5 % for SSP370. Using a random forest model, we show that the primary controlling factors for changes in AET are precipitation and solar radiation, and solar radiation and maximum temperature for PET. Our results offer new insights into future AET and PET changes estimated using downscaled CMIP6 simulations with implications for agriculture, water supply and natural resource management.

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Publication Details

Journal
Hydrology and earth system sciences
Published
2025-12-01
DOI
https://doi.org/10.5194/hess-29-6863-2025
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
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article

Projections of actual and potential evapotranspiration from downscaled high-resolution CMIP6 climate simulations in Australia

Hong Zhang, Jozef Syktus, Rohan Eccles, Nathan Toombs et al.
Hydrology and earth system sciences
Plant Water Relations and Carbon Dynamics
article

Projections of actual and potential evapotranspiration from downscaled high-resolution CMIP6 climate simulations in Australia

Hong Zhang, Jozef Syktus, Rohan Eccles, Nathan Toombs, Ralph Trancoso, Sarah Chapman
article en

Abstract

Abstract. Quantifying the impact of climate change on actual and potential evapotranspiration (AET and PET) is essential for water security, agricultural production and environmental management. Using dynamically downscaled CMIP6 models at 10 km resolution, we assess AET and PET at a daily time step using the Morton method and projected future changes to both PET and AET under three emission scenarios (SSP126, 245, 370) for Australia. The performance of observation- and downscaled climate model-based AET is assessed against measured AET from 26 OzFlux sites in Australia. We show that high resolution downscaled climate models can provide reasonably accurate estimations of AET, with an ensemble mean error of 17 % for historical period 1981–2010. This compared favourably to observation- and reanalysis-based products, which reported mean errors ranging from 15.7 %–44 %. Annual average end-of-century AET projections for low and intermediate emission scenarios (SSP126 and SSP245) show a decrease of −4.5 % and −3.5 % respectively in Australia, while under high emissions (SSP370) AET was projected to increase by 1.8 %. In contrast, PET was projected to increase by 5.0 % for SSP126, 8.4 % for SSP245 and 11.5 % for SSP370. Using a random forest model, we show that the primary controlling factors for changes in AET are precipitation and solar radiation, and solar radiation and maximum temperature for PET. Our results offer new insights into future AET and PET changes estimated using downscaled CMIP6 simulations with implications for agriculture, water supply and natural resource management.

Hydrology and earth system sciencesVol. 29(23)
The University of Queensland (AU), Queensland Government (AU), Queensland Department of Environment and Science (AU)
Openalex Percentile: Top 65%
Plant Water Relations and Carbon Dynamics
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