Using selected members of a large ensemble to improve prediction of surface air temperature anomalies over japan in the winter months from mid-autumn

HIGHLIGHTS

• who: J. V. Ratnam from the Application Laboratory, Japan Agency for Marine-Earth and Technology, Yokohama, Japan University of Hyderabad, India have published the article: Using Selected Members of a Large Ensemble to Improve Prediction of Surface Air Temperature Anomalies Over Japan in the Winter Months From Mid-Autumn, in the Journal: (JOURNAL)
• what: The authors evaluated 120-ensemble predictions of SINTEXF2 with regard to their skill in predicting SAT anomalies over Japan in the winter months December, January, and February. The analysis shows no systematic relation between initial conditions/model physical perturbation and the . . .
  

   

  

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