Investigation of uncertainty in GCM’s projection of rainfall data (Case Study: Hashem- Abad Station)
2020
Y. Lotfi | M. Meftah Halaghi | Kh. Ghorbani
For projection of possible climate change impacts on agriculture and water resources climate models are used but there exist uncertainties in the outputs of these models. The aim of this study is to project the possible changes of precipitation and uncertainty involved in Hashem- Abad station, north of Iran, using general circulation models. For this purpose, precipitation observations for the baseline period of (1990–2010) were collected. Then the outputs of the 8 GCM models (including ACCESS1-0, CanESM2, CMCCCMS, GISSE2H, HadGEM2CC, MIROC5, MIROCESM, and IPSLCM5AMR) under the two scenarios of RCP 4.5 and RCP 8.5 were downscaled using change factor method and compared. The uncertainties of the GCM models for both emission scenarios were also investigated. Comparison of means of precipitation time series for the period 2010–2040 was performed by t-test. The results indicated a decreasing trend in most of the months. The GISSE2H model projected the most significant decreasing trend of total monthly precipitation. The highest uncertainty was observed in July for the both scenarios. Besides, although the outputs of the models didn't show a significant difference in 82% of the cases, the models’ uncertainty band indicated a major difference among the results. Further uncertainty analysis may be recommended for more scrutiny.
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