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| DOI | 10.1002/joc.8463 |
| Performance-based evaluation of NMME and C3S models in forecasting the June-August Central African rainfall under the influence of the South Atlantic Ocean Dipole | |
| 发表日期 | 2024 |
| ISSN | 0899-8418 |
| EISSN | 1097-0088 |
| 起始页码 | 44 |
| 结束页码 | 7 |
| 卷号 | 44期号:7 |
| 英文摘要 | In this study, hindcasts from eight Copernicus Climate Change Service (C3S) and three North American Multi-Model Ensemble (NMME) operational seasonal forecast systems, based on dynamical climate models, are employed to investigate the influence of the South Atlantic Ocean Dipole (SAOD) on the predictive skill of Central Africa (CA) rainfall. The focus is primarily on the June-July-August season for 1993-2016. The findings reveal that, when regionally averaged, all models exhibit positive skill in predicting CA rainfall, except for the Geophysical Fluid Dynamics Laboratory (GFDL-SPEAR) model. Notably, there are significant spatial variations in skill across different regions. Model performance is particularly low (high) in the Central African Republic and Congo Basin (Gabon and Chad) and tends to deteriorate with increasing lead-time. Models that demonstrate a strong connection between SAOD and CA rainfall tend to exhibit better predictive skills in forecasting rainfall, in contrast to models with weaker connections. This leads to a significant in-phase relationship between the predictive skills of rainfall and the strength of the SAOD-rainfall connection among the models. Furthermore, the atmospheric circulation responding to SST forcing associated with the El Nino-Southern Oscillation exerts a significant influence on the robust atmospheric circulation associated with the climatological mean of SST over the SAO. This suggests that mean state bias in the SAO/equatorial Pacific region plays a role in modulating the strength of the simulated SAOD-CA rainfall connection and, consequently, the prediction skill of CA rainfall. In general, both NMME and C3S models appear to be valuable tools capable of providing essential seasonal information several months in advance. These insights can aid decision-makers in the region in making informed decisions regarding adaptation and mitigation measures. |
| 英文关键词 | C3S; Central Africa; NMME; rainfall predictability; SAOD |
| 语种 | 英语 |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| WOS类目 | Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:001203251400001 |
| 来源期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/302538 |
| 作者单位 | University of Yaounde I; Helmholtz Association; Helmholtz-Zentrum Hereon; University of Yaounde I |
| 推荐引用方式 GB/T 7714 | . Performance-based evaluation of NMME and C3S models in forecasting the June-August Central African rainfall under the influence of the South Atlantic Ocean Dipole[J],2024,44(7). |
| APA | (2024).Performance-based evaluation of NMME and C3S models in forecasting the June-August Central African rainfall under the influence of the South Atlantic Ocean Dipole.INTERNATIONAL JOURNAL OF CLIMATOLOGY,44(7). |
| MLA | "Performance-based evaluation of NMME and C3S models in forecasting the June-August Central African rainfall under the influence of the South Atlantic Ocean Dipole".INTERNATIONAL JOURNAL OF CLIMATOLOGY 44.7(2024). |
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