Variability, Attributes, and Drivers of Optimal Forecast-Informed Reservoir Operating Policies for Water Supply and Flood Control in California-Reference-Cited by-同舟云学术

Variability, Attributes, and Drivers of Optimal Forecast-Informed Reservoir Operating Policies for Water Supply and Flood Control in California

Published:2024-10 Issue:10 Volume:150 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Taylor William¹^ORCID,Brodeur Zachary P.²^ORCID,Steinschneider Scott³^ORCID,Kucharski John⁴,Herman Jonathan D.⁵^ORCID

Affiliation:

1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616 (corresponding author). ORCID: .

2. Postdoctoral Researcher, Dept. of Biological and Environmental Engineering, Cornell Univ., Ithaca, NY 14853. ORCID:

3. Associate Professor, Dept. of Biological and Environmental Engineering, Cornell Univ., Ithaca, NY 14853. ORCID:

4. Ph.D. Student, Dept. of Land, Air and Water Resources, Univ. of California, Davis, CA 95616; Researcher, Engineer Research and Development Center, US Army Corps of Engineers, Vicksburg, MS.

5. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616. ORCID:

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JWRMD5.WRENG-6471

Reference44 articles.

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3. Synthetic Forecast Ensembles for Evaluating Forecast Informed Reservoir Operations

4. Bootstrap Aggregation and Cross‐Validation Methods to Reduce Overfitting in Reservoir Control Policy Search

5. A Multivariate Approach to Generate Synthetic Short‐To‐Medium Range Hydro‐Meteorological Forecasts Across Locations, Variables, and Lead Times