The model–data fusion pitfall: assuming certainty in an uncertain world

@article{Keenan2011TheMF,
  title={The model–data fusion pitfall: assuming certainty in an uncertain world},
  author={Trevor F Keenan and Mariah S. Carbone and Markus Reichstein and Andrew D. Richardson},
  journal={Oecologia},
  year={2011},
  volume={167},
  pages={587-597}
}
Model–data fusion is a powerful framework by which to combine models with various data streams (including observations at different spatial or temporal scales), and account for associated uncertainties. The approach can be used to constrain estimates of model states, rate constants, and driver sensitivities. The number of applications of model–data fusion in environmental biology and ecology has been rising steadily, offering insights into both model and data strengths and limitations. For… CONTINUE READING

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