Quantifying the responses of AI precipitation forecast errors to reanalysis errors using analysis of covariance
The use of the analysis of covariance (ANCOVA) method contributes to understandings of factors governing precipitation forecast errors and highlights the need to consider inherent uncertainties in climate reanalysis when training and evaluating AI weather models.
Qiang Li, Tongtiegang Zhao
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