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Experimental Studies of Seasonal Weather Predictability Based on the INM RAS Climate Model
Mathematical Models and Computer Simulations Pub Date : 2021-07-14 , DOI: 10.1134/s2070048221040232
V. V. Vorobyeva 1, 2 , E. M. Volodin 3
Affiliation  

Abstract

The technology is described for constructing the set of the initial data using the technique of eliminating the model’s bias for seasonal experiments with a numerical climate model of the Institute of Numerical Mathematics of the Russian Academy of Sciences (INM RAS), which was originally developed for multi-annual experiments. A comparative analysis of the multiyear mean correlation coefficients of the anomalies for different meteorogical fields and regions in winter seasons with similar results of the SLAV model is carried out. The presence of an increase in the correlation coefficients of anomalies in the years of the El Niño and La Niña phenomena is revealed. The coincidence of the phases of the quasi-biennial oscillation is shown. The model anomalies of sea-level pressure, the amount of precipitation, and the surface temperature are compared with the anomalies of the reanalysis and the similarity is shown.



中文翻译:

基于INM RAS气候模式的季节性天气预报试验研究

摘要

该技术被描述为使用俄罗斯科学院数值数学研究所 (INM RAS) 的数值气候模型消除模型对季节性实验的偏差的技术来构建初始数据集,该模型最初是为多年实验。与SLAV模型的结果相似,对冬季不同气象场和地区的异常多年平均相关系数进行了对比分析。揭示了在厄尔尼诺和拉尼娜现象发生的年份中异常相关系数的增加。显示了准两年振荡阶段的重合。海平面气压、降水量、

更新日期:2021-07-14
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