| Title: | Advancing model calibration and uncertainty analysis of SWAT models using cloud computing infrastructure: LCC-SWAT |
| Authors: | Zamani, M., N.K. Shrestha, T. Akhtar, T. Boston and P. Daggupati |
| Year: | 2021 |
| Journal: | Journal of Hydroinformatics |
| Volume (Issue): | 23(1) |
| Pages: | 1–15 |
| Article ID: | |
| DOI: | 10.2166/hydro.2020.066 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | computational efficiency |
| Secondary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
| Watershed Description: | 19 km^2 Wigal Creek, 6,542 km^2 Grand River and 215,918 km^2 Canadian Great Lakes drainage area, which are located in southern Ontario, Canada. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | The authors don't describe the exact location of the watersheds but the Great Lakes drainage area is clearly located in southern Ontario (see https://www.canr.msu.edu/news/lakes_appreciation_month_the_great_lakes_facts_and_features) so it is assumed the other two watersheds are also located in southern Ontario. |
| Language: | English |
| Keywords: | cloud computing, DDS, optimization, SUFI-2, SWAT |