Spatial-temporal multivariate semi-Bayesian hierarchical framework for extreme precipitation frequency analysis-Reference-Cited by-同舟云学术

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Spatial-temporal multivariate semi-Bayesian hierarchical framework for extreme precipitation frequency analysis

Published:2021-09 Issue: Volume:600 Page:126499
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Ossandón Álvaro,Rajagopalan Balaji,Kleiber William

Funder

National Science Foundation Directorate for Geosciences

National Science Foundation Division of Mathematical Sciences

Comisión Nacional de Investigación Científica y Tecnológica

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference71 articles.

1. Is the covariate based non-stationary rainfall IDF curve capable of encompassing future rainfall changes?;Agilan;J. Hydrol.,2016

2. What are the best covariates for developing non-stationary rainfall Intensity-Duration-Frequency relationship?;Agilan;Adv. Water Resour.,2017

3. A hierarchical Bayesian model for regionalized seasonal forecasts: Application to low flows in the northeastern United States;Ahn;Water Resour. Res.,2017

4. A New Look at the Statistical Model Identification;Akaike;IEEE Trans. Autom. Control,1974

5. A Valid Matérn Class of Cross-Covariance Functions for Multivariate Random Fields With Any Number of Components;Apanasovich;J. Am. Stat. Assoc.,2012

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