Climate Change Impact Studies: Should We Bias Correct Climate Model Outputs or Post‐Process Impact Model Outputs?-Reference-Cited by-同舟云学术

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Climate Change Impact Studies: Should We Bias Correct Climate Model Outputs or Post‐Process Impact Model Outputs?

Published:2021-05 Issue:5 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Res

Author:

Chen Jie¹²^ORCID,Arsenault Richard³^ORCID,Brissette François P.³,Zhang Shaobo¹²

Affiliation:

1. State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University Wuhan Hubei P. R. China

2. Hubei Key Laboratory of Water System Science for Sponge City Construction Wuhan University Wuhan Hubei P. R. China

3. École de technologie supérieure Université du Québec Montréal QC Canada

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR028638

Reference65 articles.

1. CANOPEX: A Canadian hydrometeorological watershed database

2. NAC 2 H: The North American Climate Change and Hydroclimatology Data Set

3. A comparative analysis of 9 multi-model averaging approaches in hydrological continuous streamflow simulation

4. Comparison of Stochastic Optimization Algorithms in Hydrological Model Calibration

5. Multivariate Bias Correction of Climate Model Output: Matching Marginal Distributions and Intervariable Dependence Structure

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2. Enhancing streamflow predictions with machine learning and Copula-Embedded Bayesian model averaging;Journal of Hydrology;2024-09

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