Divergent future change in South Atlantic Ocean Dipole impacts on regional rainfall in CMIP6 models

Uzoma Chukwuemeka Nworgu, H. Nnamchi, Nilton Manuel Évora Do Rosário
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Abstract

The South Atlantic Ocean Dipole (SAOD) exerts strong influence on climate variability in parts of Africa and South America. Here we assess the ability of an ensemble of 35 state-of-the-art coupled global climate models to simulate the SAOD impacts on regional rainfall for the historical period (1950 to 2014) and future projections (2015 - 2079). For both periods we consider the peak phase of the dipole which is in austral winter. Observational analysis reveals four regions with spatially coherent SAOD impacts on rainfall; Northern Amazon, Guinea Coast, Central Africa, and Southeast Brazil. The observed rainfall response to the SAOD over Northern Amazon (0.31 mm/day), Guinea Coast (0.38 mm/day), and Southeast Brazil (0.12 mm/day) are significantly underestimated by the modeled ensemble-mean response of 0.10±0.15 mm/day, 0.05±0.15 mm/day, -0.01±0.04 mm/day, respectively. A too southerly rain belt in the ensemble, associated with warmer-than-observed Atlantic cold tongue, leads to better performance of models over Central Africa (46% simulate observations-consistent SAOD-rainfall correlations) and poor performance over the Guinea Coast (only 5.7% simulate observations-consistent SAOD-rainfall correlations). We found divergent responses among the projections of ensemble members precluding a categorical statement on the future strength of the SAOD-rainfall relationship in a high-emissions scenario. Our findings highlight key uncertainties that must be addressed to enhance the value of SAOD-rainfall projections for the affected African and South American countries.
南大西洋偶极子未来变化对 CMIP6 模型中区域降雨量的不同影响
南大西洋偶极子(SAOD)对非洲和南美洲部分地区的气候多变性有很大影响。在此,我们评估了 35 个最先进的全球耦合气候模式的组合模拟南大西洋偶极子对历史时期(1950-2014 年)和未来预测(2015-2079 年)区域降雨量的影响的能力。在这两个时期,我们都考虑了澳大利亚冬季的偶极子峰值阶段。观测分析表明,在亚马逊北部、几内亚海岸、非洲中部和巴西东南部等四个地区,SAOD 对降雨量的影响在空间上是一致的。在亚马逊北部(0.31 毫米/天)、几内亚海岸(0.38 毫米/天)和巴西东南部(0.12 毫米/天)观测到的降雨量对 SAOD 的响应被模拟的集合平均响应大大低估,分别为 0.10±0.15 毫米/天、0.05±0.15 毫米/天和-0.01±0.04 毫米/天。模式集合中过于偏南的雨带与暖于观测值的大西洋冷舌相关联,导致模式在中非地区表现较好(46%模拟了与观测值一致的SAOD-降雨相关性),而在几内亚沿海地区表现较差(只有5.7%模拟了与观测值一致的SAOD-降雨相关性)。我们发现,在高排放情景下,集合体成员的预测结果各不相同,因此无法对未来 SAOD 与降雨量之间的关系强度做出分类说明。我们的研究结果强调了必须解决的关键不确定性,以提高受影响的非洲和南美洲国家的 SAOD-降雨预测的价值。
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