Table 2 Robustness of meta-trained ensemble when inferring extreme GPP observations across climate zones at the normalized-target threshold, t > 1.0 (all units in gC m−2 d−1).

From: MetaFlux: Meta-learning global carbon fluxes from sparse spatiotemporal observations

Climate zones

Mean extreme GPP

Baseline RMSE

Meta-trained RMSE

Semi-arid

11.48

4.10 ± 0.29

3.78 ± 0.33

Continental

11.47

3.62 ± 0.10

3.61 ± 0.07

Temperate

11.45

3.89 ± 0.09

3.71 ± 0.04

Tropics

10.68

3.45 ± 0.06

3.04 ± 0.02

  1. The numbers in bold represent models with lower RMSE between the baseline and meta-learning cases across different climate zones.
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