Abstract
Global circulation models have been used to project future climate changes, which encourage experts to design mitigation measures. Still, it is challenging to use the raw data at a local scale without downscaling. Hence, this study applied a statistical downscaling model to downscale daily data generated from the second generation of the Canadian Earth System Model under two Representative Concentration Pathways scenarios (RCP4.5 and RCP8.5) using observed data for model calibration and validation. The downscaled results showed that the maximum temperature likely to increases in the range of 2.04–2.50 °C for RCP4.5 in the 2050s (2041–2070) and 2080s (2071–2099), respectively, and the minimum temperature indicate an increase by 0.87 °C in 2050s and 1.56 °C in 2080s averaged over the watershed level. The projected mean annual and seasonal air temperatures are likely to increase up to the end of the twenty-first century at all stations. The utmost annual rainfall change is projected to be 14.5% in the 2080s for RCP4.5 at Modjo. The highest seasonal precipitation change is projected to be 30.9% (RCP8.5) in the main rainy season (Kiremt) at Chefedonsa. Seasonal-based future projection of the precipitation shows non-significant trends, except the Kiremt season. The study revealed that the temperature was highly influenced by altitude and slightly affected by corresponding land use land cover type. In general, the increase in temperature could worsen the environmental conditions in warm seasons; and an increase in precipitation in the Kiremt season is expected to bring a likely risk of flooding.
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Data availability
The data that support the findings of this study are openly available, except observed data collected from Ethiopian National Meteorology Service Agency. The authors have no authority to openly distribute those observed data.
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The authors gratefully thank secondary data provider Ethiopian National Meteorology Service Agency (NMSA) for providing meteorological data.
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Gurara, M.A., Jilo, N.B., Tolche, A.D. et al. Climate change projection using the statistical downscaling model in Modjo watershed, upper Awash River Basin, Ethiopia. Int. J. Environ. Sci. Technol. 19, 8885–8898 (2022). https://doi.org/10.1007/s13762-021-03752-x
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DOI: https://doi.org/10.1007/s13762-021-03752-x