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Quantifying the model structural error in carbon cycle data assimilation systems

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Academic year: 2021

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Figure 1 shows the temporal autocorrelation structure of the prior residual (observation minus simulation) and of the prior-parameter error projected in the observation space (first term of Eq
Fig. 3. Distance correlogram of the observation (model+measurement) error Rˆ prior estimated from Eq
Table 2. Summary of the characteristics of the median observation error (measurement error + model error) in the ORCHIDEE model, projected in several observation spaces.
Table A1. Information about the selected FluxNet sites.
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