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Adding value to extended-range forecasts in northern Europe by statistical post-processing using stratospheric observations

机译:通过使用平坦化学观察,通过统计后处理增加北欧的扩展范围预测的价值

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The strength of the stratospheric polar vortex influences the surface weather in the Northern Hemisphere in winter; a weaker (stronger) than average stratospheric polar vortex is connected to negative (positive) Arctic Oscillation (AO) and colder (warmer) than average surface temperatures in northern Europe within weeks or months. This holds the potential for forecasting in that timescale. We investigate here if the strength of the stratospheric polar vortex at the start of the forecast could be used to improve the extended-range temperature forecasts of the European Centre for Medium-Range Weather Forecasts (ECMWF) and to find periods with higher prediction skill scores. For this, we developed a stratospheric wind indicator (SWI) based on the strength of the stratospheric polar vortex and the phase of the AO during the following weeks. We demonstrate that there was a statistically significant difference in the observed surface temperature in northern Europe within the 3–6?weeks, depending on the SWI at the start of the forecast. When our new SWI was applied in post-processing the ECMWF's 2-week mean temperature reforecasts for weeks?3–4 and 5–6 in northern Europe during boreal winter, the skill scores of those weeks were slightly improved. This indicates there is some room for improving the extended-range forecasts, if the stratosphere–troposphere links were better captured in the modelling. In addition to this, we found that during the boreal winter, in cases where the polar vortex was weak at the start of the forecast, the mean skill scores of the 3–6?weeks' surface temperature forecasts were higher than average.
机译:平流层极性漩涡的力量影响冬季北半球的表面天气;比平均平坦的平均型极性涡流较弱(较强)连接到阴性(阳性)北极振荡(AO)和更冷(较温暖的),而不是北欧的平均表面温度在几周或几个月内。这拥有在该时间段预测的可能性。我们在此处调查,如果在预测开始时的平流层极性涡流的强度可用于改善欧洲中距离天气预报(ECMWF)的延长范围温度预测,并找到具有更高预测技能评分的时期。为此,我们基于平流层极性涡流的强度和接下来的几周内AO的相位开发了平流层风指示器(SWI)。我们证明,在3-6个星期内,北欧的观察到表面温度存在统计学意义的差异,这取决于预测开始时的SWI。当我们的新SWI应用于后处理ECMWF的2周平均重新折叠时数周冬季北欧的3-4和5-6时,那些周的技能评分略有改善。这表明如果在建模中更好地捕获了平流层 - 对流层的联系,则有一些用于改善扩展范围预测的空间。除此之外,我们发现在北冬,在预测开始时极性涡旋弱的情况下,3-6个?周的平均技能评分高于平均水平。

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