TitleFinding appropriate bias correction methods in downscaling precipitation for hydrologic impact studies over North America
Publication TypeJournal Article
Year of Publication2013
AuthorsChen, Jie, Francois Brissette, Diane Chaumont, and Marco Braun
Secondary TitleWater Resources Research
Volume49
Issue7
Paginationp.4187-4205
Call NumberOSU Libraries: Electronic Subscription
Keywordshydrology, mathematical modeling, precipitation, Umpqua River
NotesThis is a technical discussion of how hydrologic models can be improved by various statistical techniques. The authors ran raw regional climate model precipitation data with a hydrologic simulation, and then tried different methods of correcting input precipitation data for ten different North American rivers. It turns out that the Umpqua River raw regional climate model data worked well with the hydrologic model, and additional corrections were not needed for the simulation to approximate reality.
DOI10.1002/wrcr.20331