| Title: | Does bias correction increase reliability of flood projections under climate change? A case study of large rivers in Germany |
| Authors: | Huang, S., V. Krysanova and F.F. Hattermann |
| Year: | 2014 |
| Journal: | International Journal of Climatology |
| Volume (Issue): | 34(14) |
| Pages: | 3780-3800 |
| Article ID: | |
| DOI: | 10.1002/joc.3945 |
| URL (non-DOI journals): | |
| Model: | SWIM |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | flood impacts or conveyances |
| Secondary Application Category: | climate change |
| Watershed Description: | upper Danube, Elbe, Ems, Rhine and Weser, the five largest river basins in Germany (covering about 90% of the country; portions of the five systems are also located in border countries) |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | SWIM; CCLM; REMO; flood; distribution mapping; Germany |