TABLE 3.

Principal component analysis (PCA) correlation and loadings of the first two principal components (PCs).

Index	Correlation		Loadings
	PC1	PC2	PC1	PC2
5DMaxRain	0.59	0.23	0.26	0.14
AirFY	–0.39	0.88	–0.18	0.53
AirTMY	0.27	–0.86	0.12	–0.52
Deser	0.93	–0.08	0.41	–0.05
Dry	–0.81	–0.22	–0.36	–0.14
DryS	–0.42	–0.35	–0.19	–0.21
EmbergerC	–0.56	0.74	–0.25	0.45
HotDaysN	–0.62	0.16	–0.28	0.10
HW	–0.32	0.05	–0.14	0.03
Med	–0.17	–0.41	–0.07	–0.25
ModFournier	0.77	0.24	0.35	0.14
RainY	0.81	0.36	0.36	0.22
WetDaysN	0.81	0.22	0.36	0.14

The acronyms of the agrometeorological indices are explained in Table 1.