Toward Better Intraseasonal and Seasonal Prediction: Verification and Evaluation of the NOGAPS Model Forecasts

نویسندگان

  • Zhuo Wang
  • Melinda S. Peng
چکیده

Intraseasonal and seasonal prediction provides important information for decision-making and resource management, and has received increased attention in recent years. Despite substantial progress in numerical modeling in the past few decades, skillful seasonal prediction remains a challenge for many models. Verification and evaluation of model forecasts can offer users necessary information on the model predictive skills and uncertainties, and provide model development teams with useful information on model improvements.

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تاریخ انتشار 2013