Using modeldata fusion to interpret past trends, and quantify uncertainties in future projections, of terrestrial ecosystem carbon cycling

HIGHLIGHTS

• who: Keenan et al. from the This Article was downloaded from Harvard UniversityMA, USA have published the research work: Using modeldata fusion to interpret past trends, and quantify uncertainties in future projections, of terrestrial ecosystem carbon cycling, in the Journal: (JOURNAL)
• what: The authors assess endogenous and exogenous uncertainties using a model-data fusion framework benchmarked with an artificial neural network (ANN). By integrating all available data with the model-data fusion framework the authors show that the observed trend can only be reproduced with temporal changes in model parameters. If the model structure is . . .
  

   

  

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