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Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/161403A9-4506-487B-882B-AA24C1C26D7D | ||
| Year | 2013 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
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| Bibliographic Citation | I.K. Tsanis, M. Grillakis, A. Koutroulis and D. Jacob, “Reducing uncertainty on global precipitation projections”, Journal of Water and Climate Change, vol. 5, no.178, 2013. doi: 10.4172/2157-7617.1000178 https://doi.org/10.4172/2157-7617.1000178 | ||
| Appears in Collections |
In order to study the future of freshwater availability, reliable precipitation projections are required. Potentialfuture changes in global precipitation are investigated by analyzing the Global Climate Models’ projections. However,these projections cannot be used in their native form on climate change impact studies, due to the high systematicerrors and biases that they feature, limiting the applicability of these projections. Various methodologies have beendeveloped to correct the precipitation bias, including dynamical and statistical methods. Here we present a globalprecipitation ensemble projection for the 21st century. We use a multi-segment statistical bias correction method thatradically reduces the correction-induced uncertainty to the precipitation. The ensemble consist of results from threedifferent global climate models for A2 and B1 emission scenarios, in order to reduce the uncertainty related to the modelselection. The results show significant changes in areal mean and extreme precipitation during the 21st century for theA2 and B1 emission scenarios. For all simulations, the results show that the global mean and extreme precipitation willincrease under both scenarios, indicating a more intense forthcoming global water cycle.
Copyright © DIAS 2013
