Finding appropriate bias correction methods in downscaling precipitation for hydrologic impact studies over North America

Author:

Chen Jie1,Brissette François P.1,Chaumont Diane2,Braun Marco2

Affiliation:

1. Department of Construction Engineering; École de technologie supérieure, Université du Québec; Montreal Quebec Canada

2. Groupe Scénarios climatiques; Ouranos, Montreal Quebec Canada

Funder

Hydro Québec, the Centre d'Expertise Hydrique du Québec (CEHQ)

Rio Tinto Alcan (RTA)

Ouranos Consortium on Regional Climatology and Adaptation to Climate Change

National Science Foundation (NSF)

U.S. Department of Energy (DoE)

National Oceanic and Atmospheric Administration (NOAA)

U.S. Environmental Protection Agency Office of Research and Development (EPA)

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference59 articles.

1. Bennett , J. C. M. R. Grose D. A. Post F. L. N. Ling S. P. Corney N. L. Bindoff 2011 Performance of quantile-quantile bias-correction for use in hydroclimatological projections

2. On the robustness of changes in extreme precipitation over Europe from two high resolution climate change simulations;Buonomo;Q. J. R. Meteorol. Soc.,2007

3. Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed;Chen;Water Resour. Res.,2011a

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