| Title | Using raw regional climate model outputs for quantifying climate change impacts on hydrology |
| Publication Type | Journal Article |
| Year of Publication | 2017 |
| Authors | Chen, Jie, François P. Brissette, Pan Liu, and Jun Xia |
| Secondary Title | Hydrological Processes |
| Volume | 31 |
| Number | 24 |
| Pagination | p.4398-4413 |
| Date Published | 2017, Nov. 30 |
| Call Number | OSU Libraries: Electronic Subscription |
| Keywords | Umpqua River Basin, Yellowstone River Basin, Yampa River Basin, Manic 5 River Basin, hydrology, climate, precipitation, temperature, mathematical modeling |
| Notes | This is a look at regional climate models (RCMs) and their use in predicting the responses of watersheds to climate change. In this paper, three “RCMs driven by three different general circulation models are used to investigate the uncertainty of hydrological simulations associated with the choice of a bias-corrected or nonbias-corrected RCM simulation. The results indicate that the uncertainty envelope is generally watershed and indicator dependent.” In order to allow users to make the most informed decisions, the authors recommend giving both the bias-corrected and nonbias-corrected data. |
| DOI | 10.1002/hyp11368 |
