Assessing the performance of the independence method in modeling spatial extreme rainfall-Reference-Cited by-同舟云学术

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Assessing the performance of the independence method in modeling spatial extreme rainfall

Published:2015-09 Issue:9 Volume:51 Page:7744-7758
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Zheng Feifei¹,Thibaud Emeric²,Leonard Michael³,Westra Seth³

Affiliation:

1. College of Civil Engineering and Architecture; Zhejiang University; Hangzhou Zhejiang China

2. Department of Statistics; Colorado State University; Fort Collins Colorado USA

3. School of Civil, Environmental and Mining Engineering; University of Adelaide; Adelaide South Australia Australia

Funder

Australian Research Council Discovery Project

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference39 articles.

1. Assessment of apparent nonstationarity in time series of annual inflow, daily precipitation, and atmospheric circulation indices: A case study from southwest Western Australia;Bates;Water Resour. Res.,2010

2. Mapping snow depth return levels: Smooth spatial modeling versus station interpolation;Blanchet;Hydrol. Earth Syst. Sci.,2010

3. Centre for Research on the Epidemiology of Disasters 2014 EM-DAT: The International Disaster Database

4. On the use of generalized linear models for interpreting climate variability;Chandler;Environmetrics,2005

5. Inference for clustered data using the independence loglikelihood;Chandler;Biometrika,2007

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