Table 1 Assessment of ML models’ performance

Model	Tmax					Tmin					Pre
Model	RMSE	R²	MAE	NSE	MBE	RMSE	R²	MAE	NSE	MBE	RMSE	R²	MAE	NSE	MBE
RF	2.446	0.944	1.837	0.945	0.01	2.462	0.926	1.822	0.926	−0.01	0.849	0.645	0.419	0.445	0.001
SMV	2.458	0.943	1.864	0.943	0.008	2.467	0.926	1.839	0.925	−0.01	0.853	0.640	0.420	0.443	0.001
LGBM	2.428	0.945	1.861	0.944	0.007	2.458	0.926	1.835	0.926	−0.01	0.847	0.647	0.419	0.446	0.001
XGB	2.458	0.943	1.872	0.943	0.008	2.470	0.926	1.845	0.926	−0.01	0.850	0.644	0.42	0.444	0.001
CB	2.471	0.943	1.889	0.943	0.008	2.481	0.925	1.857	0.925	−0.01	0.854	0.639	0.423	0.439	0.002

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