| Title: | Quantifying uncertainty cascading from climate, watershed, and lake models in harmful algal bloom predictions |
| Authors: | Scavia, D., Y.-C. Wang, D.R. Obenour, A. Apostel, S.J. Basile, M.M. Kalcic, C.J. Kirchhoff, L. Miralha, R.L. Muenich and A.L. Steiner |
| Year: | 2021 |
| Journal: | Science of the Total Environment |
| Volume (Issue): | 759 |
| Pages: | |
| Article ID: | 143487 |
| DOI: | 10.1016/j.scitotenv.2020.143487 |
| URL (non-DOI journals): | |
| Model: | SWAT (modified) & SWAT |
| Broad Application Category: | pollutant only |
| Primary Application Category: | model and/or data interface |
| Secondary Application Category: | model and/or data comparison |
| Watershed Description: | 17,000 km^2 Maumee River, which drains parts of northeast Indiana, southeast Michigan and northwest Ohio, U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Integrating models, Error analysis, Monte Carlo, Forecasting |