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ISSN: 2157-7617

Journal of Earth Science & Climatic Change
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  • Research Article   
  • J Earth Sci Clim Change 2014, Vol 5(2): 178
  • DOI: 10.4172/2157-7617.1000178

Reducing Uncertainty on Global Precipitation Projections

Tsanis IK1,2*, Grillakis MG1, Koutroulis AG1 and Jacob D3
1Department of Environmental Engineering, Technical University of Crete, Chania, Greece
2Department of Civil Engineering, McMaster University, Hamilton, ON, Canada
3Climate Service Centre, Helmholtz-Zentrum Geesthacht, , Hamburg, Germany
*Corresponding Author : Tsanis IK, Department of Environmental Engineering, Technical University of Crete, Chania, Greece, Tel: +1-905-5259140-24415, Email: [email protected]

Received Date: Dec 04, 2013 / Accepted Date: Dec 20, 2013 / Published Date: Dec 28, 2013

Abstract

In order to study the future of freshwater availability, reliable precipitation projections are required. Potential future 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 systematic errors and biases that they feature, limiting the applicability of these projections. Various methodologies have been developed to correct the precipitation bias, including dynamical and statistical methods. Here we present a global precipitation ensemble projection for the 21st century. We use a multi-segment statistical bias correction method that radically reduces the correction-induced uncertainty to the precipitation. The ensemble consist of results from three different global climate models for A2 and B1 emission scenarios, in order to reduce the uncertainty related to the model selection. The results show significant changes in areal mean and extreme precipitation during the 21st century for the A2 and B1 emission scenarios. For all simulations, the results show that the global mean and extreme precipitation will increase under both scenarios, indicating a more intense forthcoming global water cycle.

Keywords: Global precipitation; Climate change projections; Bias correction

Citation: Tsanis IK, Grillakis MG, Koutroulis AG, Jacob D (2013) Reducing Uncertainty on Global Precipitation Projections. J Earth Sci Clim Change 5: 178. Doi: 10.4172/2157-7617.1000178

Copyright: ©2013 Tsanis IK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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