Partitioning uncertainty components of an incomplete ensemble of climate projections using data augmentation

HIGHLIGHTS

• who: Guillaume Evin and collaborators from the UnivGrenoble Alpes, Irstea, UR ETGR, Grenoble, France have published the Article: Partitioning Uncertainty Components of an Incomplete Ensemble of Climate Projections Using Data Augmentation, in the Journal: (JOURNAL)
• what: Model uncertainty is related to the imperfections of the models used to obtain the climate projections (climate models and subsequent impact JOURNAL OF CLIMATE models when sectorial declinations such as ecology, water resources, hydropower, and so on are considered). The authors show how missing combinations influence the uncertainty of the estimated ANOVA effects, and the authors compare these estimates . . .
  

   

  

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