## Appendix A
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**ID** & **SITE** & **LAT** & **LON** & **BIO** \\ \hline
95 & DE-Gri & 50.95 & 13.5126 & GRA \\
96 & DK-Eng & 55.6905 & 12.1918 & GRA\({}^{*}\) \\
97 & DK-AzH & 74.4733 & \(-\)20.55 & GRA \\
98 & IT-Tor & 45.8444 & 7.5781 & GRA \\
99 & PA-SPs & 9.3138 & \(-\)79.631 & GRA \({}^{*}\) \\
100 & RU-Ha1 & 54.7252 & 90.0022 & GRA\({}^{*}\) \\
101 & RU-Tks & 71.5943 & 128.888 & GRA \\
102 & US-AR1 & 36.4267 & \(-\)99.42 & GRA \\
103 & US-AR2 & 36.6358 & \(-\)99.598 & GRA\({}^{*}\) \\
104 & US-ARb & 35.5497 & \(-\)98.04 & GRA \\
105 & US-ARc & 35.5465 & \(-\)98.04 & GRA \({}^{*}\) \\
106 & US-Cop & 38.09 & \(-\)109.39 & GRA \\
107 & US-Goo & 34.2547 & \(-\)89.874 & GRA \\
108 & US-IB2 & 41.8406 & \(-\)88.241 & GRA\({}^{*}\) \\
109 & US-SRG & 31.7894 & \(-\)110.63 & GRA \({}^{*}\) \\
110 & US-Var & 38.4133 & \(-\)120.95 & GRA \\
111 & US-Wkg & 31.7365 & \(-\)109.94 & GRA \({}^{*}\) \\
112 & BE-Bra & 51.3076 & 4.5198 & MF \\
113 & BE-Vie & 50.305 & 5.9981 & MF \({}^{*}\) \\
114 & CA-Gro & 48.2167 & \(-\)82.156 & MF \\
115 & CN-Cha & 42.4025 & 128.096 & MF \({}^{*}\) \\
116 & US-Spy & 46.242 & \(-\)89.348 & MF \\
117 & CA-NS6 & 55.9167 & \(-\)98.964 & OSH\({}^{*}\) \\
118 & CA-NS7 & 56.6358 & \(-\)99.948 & OSH\({}^{*}\) \\
119 & CA-SF3 & 54.0916 & \(-\)106.01 & OSH \\
120 & ES-Amo & 36.8336 & \(-\)2.2523 & OSH \\
121 & ES-I5 & 37.0979 & \(-\)2.9658 & OSH\({}^{*}\) \\
122 & US-SRC & 31.9083 & \(-\)110.84 & OSH\({}^{*}\) \\
123 & US-Whs & 31.7438 & \(-\)110.05 & OSH \\
124 & AU-Dry & \(-\)15.259 & 132.371 & SAV \\
125 & AU-GWW & \(-\)30.191 & 120.654 & SAV\({}^{*}\) \\
126 & CG-Tech & \(-\)4.2892 & 11.6564 & SAV\({}^{*}\) \\
127 & SD-Denn & 13.2829 & 30.4783 & SAV \\
128 & SN-Dhr & 15.4028 & \(-\)15.432 & SAV \({}^{*}\) \\
129 & ZA-Kru & \(-\)25.02 & 31.4969 & SAV\({}^{*}\) \\
130 & AU-Fog & \(-\)12.545 & 131.307 & WET \\
131 & CN-Ha2 & 37.6086 & 101.327 & WET \({}^{*}\) \\
132 & CZ-wet & 49.0247 & 14.7704 & WET \\
133 & DE-Akm & 53.8662 & 13.6834 & WET \\
134 & DE-SfN & 47.8064 & 11.3275 & WET \({}^{*}\) \\
135 & DE-Spw & 51.8923 & 14.0337 & WET \\
136 & DE-Zrk & 53.8759 & 12.889 & WET \\
137 & DK-NuF & 64.1308 & \(-\)51.386 & WET \({}^{*}\) \\
138 & DK-ZaF & 74.4814 & \(-\)20.555 & WET \\
139 & FI-Lom & 67.9972 & 24.2092 & WET \({}^{*}\) \\
140 & SE-St1 & 68.3542 & 19.0503 & WET \\
141 & US-Atq & 70.4696 & \(-\)157.41 & WET \({}^{*}\) \\
142 & US-Ivo & 68.4865 & \(-\)155.75 & WET \({}^{*}\) \\
143 & US-Los & 46.0827 & \(-\)89.979 & WET \\
144 & US-Myb & 38.0498 & \(-\)121.77 & WET \\
145 & US-Tw1 & 38.1074 & \(-\)121.65 & WET \({}^{*}\) \\
146 & US-WPT & 41.4646 & \(-\)82.996 & WET \\
147 & AU-Gin & \(-\)31.376 & 115.714 & WSA \\
148 & AU-How & \(-\)12.494 & 131.152 & WSA\({}^{*}\) \\
149 & AU-RDF & \(-\)14.564 & 132.478 & WSA \\
150 & US-SRM & 31.8214 & \(-\)110.87 & WSA \({}^{*}\) \\
151 & US-Ton & 38.4316 & \(-\)120.97 & WSA \({}^{*}\) \\ \hline \hline \end{tabular} \({}^{*}\) 12 terrestrial biomes: Croplands (CRO), closed Shrublands (CSH), deciduous broadleaf forest (DBF), deciduous necelleaf forest (DNF), evergreen broadleaf forest (EBF), eyergreen needleleaf forest (ENF), grasslands (GRA), mixed forests (MF), open shrublands (OSH), savannas (SAV), permanent wetlands (WET), and woody savannas (WSA).  
\end{table} 
Table 1: Cont. Figure 17: The Taylor diagram showing the overall performance of all models under different biomes. The color dots represent the models in the corresponding legend. The Taylor diagram is a polar graph in which the cosine of the angle between the X-axis is the correlation coefficient between the GPP of the model and EC—tower. The radial direction is the ratio of model to EC—tower GPP standard deviation. The grey arcs represent the RMSE normalized by standard deviation for each model. The n is the number of EC-towers.