Advancement of a Blended Hydrologic Model for Robust Model Performance-Reference-Cited by-同舟云学术

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Advancement of a Blended Hydrologic Model for Robust Model Performance

Published:2024-10 Issue:5 Volume:29 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Chlumsky Robert¹^ORCID,Mai Juliane²,Craig James R.³^ORCID,Tolson Bryan A.⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. W, Waterloo, ON, Canada N2L 3G1 (corresponding author). ORCID: .

2. Research Associate Professor, Dept. of Earth and Environmental Science, Univ. of Waterloo, 200 University Ave. W, Waterloo, ON, Canada N2L 3G1.

3. Professor, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. W, Waterloo, ON, Canada N2L 3G1. ORCID: .

4. Professor, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. W, Waterloo, ON, Canada N2L 3G1.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JHYEFF.HEENG-6246

Reference29 articles.

1. A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds;Arsenault R.;Sci. Data,2020

2. Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models

3. Simultaneous Calibration of Hydrologic Model Structure and Parameters Using a Blended Model

4. Pursuing the method of multiple working hypotheses for hydrological modeling

5. Flexible watershed simulation with the Raven hydrological modelling framework

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