Errata to “Performance comparison of complementary relationship and inverse analysis methods for evapotranspiration estimation”

Toshisuke MARUYAMA; Manabu SEGAWA; Hiroshi TAKIMOTO

doi:10.2183/pjab.101.038

In this paper, Fig. 7 and Table 2 show that CR_rev1 has high performance as well as IA and the following should be corrected as follows:

Fig. 7.

Relationships between (a) E_obs and E_inv, (b) E_obs and E_{CR_conv}, (c) E_obs and E_{CR_rev1}, and (d) E_obs and E_{CR_rev2} based on yearly analyses.

Table 2. Order of regression coefficients for the four E-analysis methods

Order	First	Second	Third	Fourth	Total
IA	7	0	0	2	9
CR_conv	5	2	1	1	9
CR_rev1	7	0	1	1	9
CR_rev2	0	3	2	4	9

Note: Total number of cases is three land uses × three time unit.

First: Regression coefficient is 0.9–1.1.

Second: Regression coefficient is 0.8–0.9 or 1.1–1.2.

Third: Regression coefficient is 0.7–0.8 or 1.2–1.3.

Fourth: Regression coefficient is <0.7 or >1.3.

In Table 3, the total average of monthly value should be corrected as follows:

	IA E_obs-E_inv	CR_conv E_obs-E_{CR_conv}	CR_rev1 E_obs-E_{CR_rev1}	CR_rev2 E_obs-E_{CR_rev 2}	E_obs
Total average	17.2	26.7	20.7	35.4	49.6

In Tables 7–9 in Appendix C–E, the following should be corrected as follows:

Table	Land use	Item	IA		CR_conv		CR_rev1		CR_rev2
			E_obs vs. E_inv		E_obs vs. E_{CR_rev}		E_obs vs. E_{CR_conv}		E_obs vs. E_{CR_rev}
			Slope	R²	Slope	R²	Slope	R²	Slope	R²
7	Forest	Average	0.834	0.621	1.094	0.817	1.040	0.828	0.681	0.593
	Farmland	Average	0.821	0.665	0.926	0.916	0.924	0.913	0.376	0.696
	Dryland	Average	0.422	0.327	1.293	0.688	1.177	0.785	0.721	0.494
	Total average		0.692	0.537	1.104	0.807	1.047	0.842	0.592	0.594
8	Forest	Average	0.986	0.933	1.146	0.920	0.964	0.941	0.726	0.872
	Farmland	Average	0.960	0.966	0.970	0.945	0.972	0.974	0.443	0.768
	Dryland	Average	0.672	0.709	1.357	0.737	1.266	0.857	0.857	0.725
	Total average		0.873	0.869	1.158	0.867	1.067	0.924	0.675	0.788
9	Forest	Average	1.043	0.992	1.077	0.981	1.089	0.973	0.754	0.968
	Farmland	Average	0.961	0.994	0.880	0.989	0.968	0.995	0.496	0.979
	Dryland	Average	0.945	0.962	1.444	0.967	1.436	0.986	1.070	0.918
	Total average		0.983	0.983	1.134	0.979	1.164	0.985	0.773	0.955

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