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to convert model state variables (e.g., LAI, canopy temperature) into synthetic observations Evaluate the performance of the data assimilation framework in controlled experiments and evaluate its potential
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of the data assimilation framework in controlled experiments and evaluate its potential for spaceborne remote sensing and landscape-scale applications Improve simulation accuracy for key ecosystem variables
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