A hierarchical Bayesian model for regionalized seasonal forecasts: Application to low flows in the northeastern United States
Author:
Affiliation:
1. Department of Biological and Environmental Engineering; Cornell University; Ithaca New York USA
2. Department of Civil and Environmental Engineering; University of Massachusetts; Amherst Massachusetts USA
Funder
Department of Interior Northeast Climate Science Center
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016WR019605/fullpdf
Reference104 articles.
1. Role of watershed geomorphic characteristics on flooding in Indiana, United States;Ahn;J. Hydrol. Eng.,2015
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3. Regional flood frequency analysis using spatial proximity and basin characteristics: Quantile regression vs. parameter regression technique;Ahn;J. Hydrol.,2016a
4. Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin;Ahn;Hydrol. Processes,2016b
5. Twentieth-century drought in the conterminous United States;Andreadis;J. Hydrometeorol.,2005
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