Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the U nited S tates-Reference-Cited by-同舟云学术

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Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the U nited S tates

Published:2017-07 Issue:7 Volume:53 Page:5469-5494
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Luke Adam¹^ORCID,Vrugt Jasper A.¹²^ORCID,AghaKouchak Amir¹^ORCID,Matthew Richard³,Sanders Brett F.¹³

Affiliation:

1. Department of Civil and Environmental EngineeringUniversity of California IrvineIrvine California USA

2. Department of Earth System ScienceUniversity of California IrvineIrvine California USA

3. Department of Planning, Policy, and DesignUniversity of California IrvineIrvine California USA

Funder

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2016WR019676

Reference92 articles.

1. Bayesian Methods for Non-stationary Extreme Value Analysis

2. A Probabilistic Modelling System for Assessing Flood Risks

3. Fragmented patterns of flood change across the United States

4. Mapping the Hazard of Extreme Rainfall by Peaks over Threshold Extreme Value Analysis and Spatial Regression Techniques

5. Assessing trends in extreme precipitation events intensity and magnitude using non-stationary peaks-over-threshold analysis: a case study in northeast Spain from 1930 to 2006

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