Table 5 Multi-model ensemble by using compromised programming for precipitation, Tmax, and Tmin.
From: Intercomparison of deep learning models in predicting streamflow patterns: insight from CMIP6
Parameter | Technique | Best combination of GCMs | ||
|---|---|---|---|---|
Precipitation | Random forest and gradient boosting | MRI-ESM2-0 | CNRM-CM6-1 | EC-Earth3-Veg-LR |
Tmin | Random forest and gradient boosting | MRI-ESM2-0 | NESM3 | EC-Earth3-Veg-LR |
Tmax | Taylor diagram | EC-Earth3-Veg-LR | CNRM-ESM2-1 | INM-CM5-0 |
