Articles | Volume 23, issue 8
Hydrol. Earth Syst. Sci., 23, 3405–3421, 2019
https://doi.org/10.5194/hess-23-3405-2019
Hydrol. Earth Syst. Sci., 23, 3405–3421, 2019
https://doi.org/10.5194/hess-23-3405-2019

Research article 19 Aug 2019

Research article | 19 Aug 2019

Improving hydrological projection performance under contrasting climatic conditions using spatial coherence through a hierarchical Bayesian regression framework

Zhengke Pan et al.

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Short summary
Understanding the projection performance of hydrological models under contrasting climatic conditions supports robust decision making, which highlights the need to adopt time-varying parameters in hydrological modeling to reduce performance degradation. This study improves our understanding of the spatial coherence of time-varying parameters, which will help improve the projection performance under differing climatic conditions.