Bias correcting climate model multi-member ensembles to assess climate change impacts on hydrology-Reference-Cited by-同舟云学术

Bias correcting climate model multi-member ensembles to assess climate change impacts on hydrology

Published:2019-02-25 Issue:3 Volume:153 Page:361-377
ISSN:0165-0009
Container-title:Climatic Change
language:en
Short-container-title:Climatic Change

Author:

Chen Jie^ORCID,Brissette François P.,Zhang Xunchang J.,Chen Hua,Guo Shenglian,Zhao Yan

Funder

National Natural Science Foundation of China

the Overseas Expertise Introduction Project for Discipline Innovation (111 Project) funded by Ministry of Education and State Administration of Foreign Experts Affairs P.R. China

National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science,Global and Planetary Change

Link

http://link.springer.com/article/10.1007/s10584-019-02393-x/fulltext.html

Reference39 articles.

1. Arsenault R, Brissette F, Martel JL (2018) The hazards of split-sample validation in hydrological model calibration. J Hydrol 566:346–362

2. Arsenault R, Brissette F (2016) Multi-model averaging for continuous streamflow prediction in ungauged basins. Hydrol Sci J 61(13):2443–2454

3. Arsenault, R., Essou, G.R.C., Brissette, F.P., 2015. Improving hydrological model simulations with combined multi-input and multimodel averaging frameworks. J Hydrol Eng 22(4): 04016066–04016061–11

4. Arsenault R, Poulin A, Côté P, Brissette F (2013) Comparison of stochastic optimization algorithms in hydrological model calibration. J Hydrol Eng 19(7):1374–1384

5. Chen H, Xu C-Y, Guo SL (2012) Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff. J Hydrol 434–435:36–45

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