Operational Bayesian GLS Regression for Regional Hydrologic Analyses-Reference-Cited by-同舟云学术

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Operational Bayesian GLS Regression for Regional Hydrologic Analyses

Published:2020-08 Issue:8 Volume:56 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Reis Dirceu S.¹^ORCID,Veilleux Andrea G.²^ORCID,Lamontagne Jonathan R.³^ORCID,Stedinger Jery R.⁴^ORCID,Martins Eduardo S.⁵^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering University of Brasilia Brasilia Brazil

2. U.S. Geological Survey, Water Mission Area, Analysis and Prediction Branch Reston VA USA

3. Department of Civil and Environmental Engineering Tufts University Medford MA USA

4. School of Civil and Environmental Engineering Cornell University Ithaca NY USA

5. Research Institute for Meteorology and Water Resources FUNCEME Fortaleza Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR026940

Reference119 articles.

1. Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?

2. P Values for Composite Null Models

3. Evaluation of regional flood frequency analysis with a region of influence approach

4. An appraisal of the “region of influence” approach to flood frequency analysis

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1. A Framework of Dependence Modeling and Evaluation System for Compound Flood Events;Water Resources Research;2023-07-27

2. Nonstationary Regional Flood Frequency Analysis Based on the Bayesian Method;Water Resources Management;2022-12-07

3. Projection of terrestrial drought evolution and its eco-hydrological effects in China;Chinese Science Bulletin;2022-11-09

4. Characterization of Multi‐Scale Fluvial Suspended Sediment Transport Dynamics Across the United States Using Turbidity and Dynamic Regression;Water Resources Research;2022-10

5. An Overview of Flood Concepts, Challenges, and Future Directions;Journal of Hydrologic Engineering;2022-06

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