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Part 6. Potential of atmospheric data to optimize model parameters
As an alternative of under-constrained "flux atmospheric inversions", recent data assimilation techniques proposed to optimize directly the parameters of ecosystem models using also the integrated information from atmospheric data, through the link of atmospheric transport models. See main presentation for a description of the methodology.
As a first analysis, we investigate in this section the potential of current atmospheric network to optimise terrestrial model parameters, using a "pseudo-data" approach. The approach includes:
Results with only one parameter:
Simple tests are presented in Table 1 with a 3 different parameters optimized independently. Each parameter is PFT-dependent (i.e. different value for different PFT). The meaning of the parameters can be found in Part 3.
Table. Result of different pseudo-obs assimilation for four different paramters: for Boreal needleleaf forest and tropical evergree forest
Results with more parameters:
Several test are presented in figure 2 with a given parameters but for different Plant functional type that are optimise simultaneously: from only one PFT to 9 PFTs. Note that the two parameters considered here are PFT dependant in ORCHIDEE so that the case with N PFTs correspond to an optimisation with N parameters (all independent).
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