An Investigation Into the Variant‐Weight Multi‐Model Ensemble Forecasting Technique Based on the Analyses of Model Systematic Errors Calculation and Elimination

• Published in: Earth and space science (Hoboken, N.J.) Vol. 9; no. 10
• Main Authors: Liang, Zhaoming, Wei, Xiaomin, Sun, Xiaogong
• Format: Journal Article
• Language: English
• Published: Hoboken John Wiley & Sons, Inc 01.10.2022
• Subjects: Accuracy; Bias; Experiments; Forecasting; Forecasting techniques; Mean square errors; optimal time length; Surface temperature; surface temperature forecast; systematic errors calculation and elimination; Temperature; Temperature distribution; variant‐weight multi‐model ensemble; Weather forecasting; China

Eliminating the systematic errors of member models is a key step before the variant‐weight multi‐model ensemble forecasting. However, how to reasonably calculate model systematic errors is a problem worthy study. Taking surface temperature as the subject investigated, this study explores this proble...