Assessing the Spatiotemporal Uncertainties in Future Meteorological Droughts from CMIP5 Models, Emission Scenarios, and Bias Corrections

• Published in: Journal of climate Vol. 34; no. 5; pp. 1903 - 1922
• Main Authors: Wu, Chuanhao, Yeh, Pat J.-F., Ju, Jiali, Chen, Yi-Ying, Xu, Kai, Dai, Heng, Niu, Jie, Hu, Bill X., Huang, Guoru
• Format: Journal Article
• Language: English
• Published: Boston American Meteorological Society 01.03.2021
• Subjects: Atmospheric models; Bias; Climate models; Corrections; Drought; Drought characteristics; General circulation models; Intercomparison; Northern Hemisphere; Regions; Sensitivity analysis; Southern Hemisphere; Standardized precipitation index; Uncertainty; Variance analysis; Asia

Drought projections are accompanied with large uncertainties due to varying estimates of future warming scenarios from different modeling and forcing data. Using the standardized precipitation index (SPI), this study presents a global assessment of uncertainties in drought characteristics (severity...