Effects of Environmental Factors on Ozone Flux over a Wheat Field Modeled with an Artificial Neural Network

Table 1

Statistics for each ANN model with training dataset and test dataset.

Model	Inputs and combinations	Training dataset			Test dataset
		RSME (nmol·m^−2·s)	MAE (nmol·m^−2·s)	R^2	RSME (nmol·m^−2·s)	MAE (nmol·m^−2·s)	R^2
T1	Ta	5.391	4.119	0.282	5.578	4.305	0.234
T2	RH	6.251	4.780	0.062	6.252	4.808	0.059
T3	U	5.897	4.495	0.141	5.974	4.558	0.123
T4	Q	5.339	4.044	0.301	5.607	4.226	0.237
T5	SW	6.091	4.589	0.109	6.183	4.683	0.090
T6		5.182	3.836	0.338	5.394	4.015	0.287
T7	H	6.229	4.786	0.040	6.537	4.887	0.009
T8	LE	4.273	3.289	0.551	4.731	3.591	0.461
T9	Fc	5.075	3.678	0.381	5.496	4.035	0.294
T10	Tm	5.817	4.326	0.171	5.831	4.295	0.163
T11	Ta RH	5.205	3.864	0.330	5.365	4.045	0.289
T12	Ta RH U	4.013	3.033	0.604	4.177	3.172	0.571
T13	Ta RH U Q	3.723	2.792	0.659	3.929	2.926	0.621
T14	Ta RH U Q SW	3.569	2.667	0.685	3.752	2.798	0.652
T15	Ta RH U Q SW	2.662	1.971	0.827	3.074	2.276	0.767
T16	Ta RH U Q SW Tm	2.652	1.967	0.829	3.021	2.215	0.783
T17	Ta RH U Q SW H	2.460	1.813	0.855	2.844	2.055	0.805
T18	Ta RH U Q SW LE	2.448	1.812	0.855	2.834	2.079	0.809
T19	Ta RH U Q SW Fc	2.254	1.671	0.875	2.763	1.997	0.814
T20	Ta RH U Q SW LE Fc	2.310	1.662	0.881	2.697	1.917	0.839