Modeling hydrologic and water quality extremes in a changing climate: A statistical approach based on extreme value theory-Reference-Cited by-同舟云学术

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Modeling hydrologic and water quality extremes in a changing climate: A statistical approach based on extreme value theory

Published:2010-11 Issue:11 Volume:46 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Towler Erin¹²,Rajagopalan Balaji¹³,Gilleland Eric²,Summers R. Scott¹,Yates David²,Katz Richard W.²

Affiliation:

1. Department of Civil, Environmental and Architectural Engineering; University of Colorado at Boulder; Boulder Colorado USA

2. National Center for Atmospheric Research; Boulder Colorado USA

3. Cooperative Institute for Research in Environmental Sciences; University of Colorado at Boulder; Boulder Colorado USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2009WR008876/fullpdf

Reference49 articles.

1. New look at statistical-model identification;Akaike;IEEE Trans. Autom. Control,1974

2. Local polynomial-based flood frequency estimator for mixed population;Apipattanavis;J. Hydrol. Eng.,2010

3. Statistical-dynamical approach for streamflow modeling at Malakal, Sudan, on the White Nile River;Block;J. Hydrol. Eng.,2009

4. Statistics of extremes in climatology;Buishand;Stat. Neerl.,1989

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