Research Article
Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin
Table 2
Information of the 8 CMIP5 GCMs.
| Model | Shorthand | Institution and country | Resolution (km) |
| ACCESS1.0 | AC10 | Commonwealth Scientific and Industrial Research Organization and Bureau of Meteorology, Australia | 192 145 | ACCESS1.3 | AC13 | Commonwealth Scientific and Industrial Research Organization and Bureau of Meteorology, Australia | 192 145 | GFDL-ESM2G | GG | Geophysical Fluid Mechanics Laboratory, USA | 144 90 | GFDL-ESM2M | GM | Geophysical Fluid Mechanics Laboratory, USA | 144 90 | GISS-E2-H | GH | NASA Goddard Institute for Space Studies, USA | 144 90 | GISS-E2-R | GR | NASA Goddard Institute for Space Studies, USA | 144 90 | INMCM4 | IN | UNM, Russia | 180 120 | NorESM1-ME | Nor | NCC, Norway | 144 96 |
|
|