Tropical Atlantic rainfall drives bias in extratropical seasonal forecasts

IF 2 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
T. Collier, J. Kettleborough, A. A. Scaife, L. Hermanson, P. Davis
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Abstract

We investigate the impact of seasonal forecast biases in the Tropical Atlantic on the North Atlantic. The analysis uses a novel ensemble-based method to estimate the impact of tropical rainfall bias on forecasts of the Extratropical North Atlantic. The inter-ensemble spread of the forecast model is used to estimate the impact of the bias in Tropical Atlantic rainfall on the North Atlantic by selecting model members that happen to produce forecast anomalies that most closely resemble the tropical rainfall bias and using these as a proxy for the model error. The Tropical Atlantic rainfall bias impacts Rossby wave sources over the Subtropical Atlantic and there is a clear Rossby wave pattern originating from this area which is comparable to the mean bias in hindcasts. We argue that Tropical Atlantic rainfall errors explain a significant amount of the bias in seasonal forecasts over the Extratropical North Atlantic.

Abstract Image

Abstract Image

热带大西洋降雨导致外热带季节性预报出现偏差
我们研究了热带大西洋季节性预报偏差对北大西洋的影响。分析采用了一种基于集合的新方法来估计热带降雨偏差对热带外北大西洋预报的影响。利用预报模式的集合间传播来估计热带大西洋降雨偏差对北大西洋的影响,方法是选择产生最接近热带降雨偏差的预报异常的模式成员,并用这些异常来代表模式误差。热带大西洋降雨偏差影响了亚热带大西洋的罗斯比波源,该地区有明显的罗斯比波模式,与后向预报的平均偏差相当。我们认为,热带大西洋降雨量误差是造成外热带北大西洋季节性预报偏差的重要原因。
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来源期刊
Atmospheric Science Letters
Atmospheric Science Letters METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.90
自引率
3.30%
发文量
73
审稿时长
>12 weeks
期刊介绍: Atmospheric Science Letters (ASL) is a wholly Open Access electronic journal. Its aim is to provide a fully peer reviewed publication route for new shorter contributions in the field of atmospheric and closely related sciences. Through its ability to publish shorter contributions more rapidly than conventional journals, ASL offers a framework that promotes new understanding and creates scientific debate - providing a platform for discussing scientific issues and techniques. We encourage the presentation of multi-disciplinary work and contributions that utilise ideas and techniques from parallel areas. We particularly welcome contributions that maximise the visualisation capabilities offered by a purely on-line journal. ASL welcomes papers in the fields of: Dynamical meteorology; Ocean-atmosphere systems; Climate change, variability and impacts; New or improved observations from instrumentation; Hydrometeorology; Numerical weather prediction; Data assimilation and ensemble forecasting; Physical processes of the atmosphere; Land surface-atmosphere systems.
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