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Title: Ultra-high resolution regional climate projections for assessing changes in hydrological extremes and underlying uncertainties
Authors: Qing, Y 
Wang, S 
Zhang, B 
Wang, Y
Issue Date: Oct-2020
Source: Climate dynamics, Oct. 2020, v. 55, no. 7-8, p. 2031-2051
Abstract: The frequency and intensity of extreme hydrological events (droughts and floods) have been increasing over the past few decades, which has been posing a threat to water security and agriculture production. Thus, projecting the future evolution of hydrological extremes plays a crucial role in sustainable water management and agriculture development in a changing climate. In this study, we develop the high-resolution projections of multidimensional drought characteristics and flood risks using the convection-permitting Weather Research and Forecasting (WRF) model with the horizontal grid spacing of 4 km for the Blanco and Mission River basins over South Texas. Uncertainties in model parameters are addressed explicitly, thereby leading to probabilistic assessments of hydrological extremes. Our findings reveal that the probabilistic multivariate assessments of drought and flood risks can reduce the underestimation and the biased conclusions generated from the univariate assessment. Furthermore, our findings disclose that future droughts are expected to become more severe over South Texas even though the frequency of the occurrence of droughts is projected to decrease, especially for the long-term drought episodes. In addition, South Texas region is expected to experience more floods with an increasing river discharge. Moreover, the Blanco and Mission river basins will suffer from higher flood risks as flood return periods are expected to become longer under climate change.
Keywords: Copula
Drought
Flood
Hydrological extremes
Regional climate projection
Publisher: Springer
Journal: Climate dynamics 
ISSN: 0930-7575
EISSN: 1432-0894
DOI: 10.1007/s00382-020-05372-6
Rights: © Springer-Verlag GmbH Germany, part of Springer Nature 2020
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00382-020-05372-6
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