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Cold surge invading the Beijing 2022 Winter Olympic Competition Zones and the predictability in BCC‐AGCM model

机译:冷浪涌入侵北京2022冬季奥运会和 BCC-AGCM 型号的可预测性

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The 24th Olympic and Paralympic Winter Games will be held at three competition zones in North China. The cold surge is considered as the most dominant weather affecting the game schedule by the Organizing Committee of Beijing Olympic Games. In this article, both the frequency of 124 cold surge cases invading the competition zones and the corresponding atmospheric circulation during the winters of 1985–2020 are first analyzed. The results show that the frequency has not been reduced by the global warming. On the contrary, it has been increasing slightly in recent decade. By verifying the forecast skill of temperature drop at the zones in Beijing Climate Center‐Atmospheric General Circulation Model (version 2.2), it is found that the average efficient forecast leading time with persistent temperature drop exceeding 1°C is about 7?days, but significant differences exist among the individual cases. The 20 best forecasts and the 20 worst forecasts were selected for further analysis. In the 20 worst forecasts, the cold surge processes cannot be forecasted even 1?day in advance. It is mainly due to the great deviation of the simulated circulation from the observation, especially the failure to forecast the enhancement of the Siberian High especially in its southeast part before the cold surge occurrence. While in the 20 best forecasts, the model can capture the cold surges 9?days before the occurrence, owing to its skill in forecasting the positive sea level pressure anomalies from the southern Barents Sea and the Kara Sea to eastern China. Above evaluations can provide useful information to the forecast of cold surge invading the competition zones beyond 1?week. Based on daily temperature and sea level pressure (SLP) dataset of observation and hindcast from Beijing Climate Center‐Atmospheric General Circulation Model, this article first explored the features of cold surges invading the competition zones of the 24th Beijing Olympic and Paralympic Winter Games. Verification of the forecast skill of temperature drops at the zones is also conducted to reveal the possible reason of successful or failed forecasts. By comparing 20 best and 20 worst forecasts, it could be considered that the Siberian High rather than other winter monsoon members, is the dominant factor for cold surge forecast.
机译:第24届奥运会和残奥会冬季游戏将在华北三大竞争区举行。寒冷的浪涌被认为是北京奥运会组委会影响游戏时间表的最统治天气。在本文中,首先分析了1985-2020次冬季侵入竞争区的124个冷喘级案件的频率和相应的大气循环。结果表明,全球变暖频率尚未减少。相反,近十年来,它一直在略有增加。通过验证北京气候中心大气一般循环模型(版本2.2)的区域的温度下降预测技术(版本2.2),发现平均有效预测具有超过1°C的持续温度下降的前期时间约为7?天,但是个人病例中存在显着差异。选择了20个最佳预测和20个最糟糕的预测供进一步分析。在20个最糟糕的预测中,预先预测冷浪涌过程甚至不能预测1?它主要是由于模拟循环从观察中的巨大偏差,尤其是未预测西伯利亚高度的增强,特别是在寒冷的激增发生之前的东南部的增强。虽然在20个最优惠的预测中,该模型可以捕获9日在发生前的寒冷潮流,而且由于其在从南部小人和卡拉海到东部地区的积极海平面压力异常的技能。上面的评估可以向侵入竞争区的寒冷浪涌预测超过1?周的评估。基于日常温度和海平面压力(SLP)观测和Hindcast的数据集来自北京气候中心大气一般循环模式,本文首先探讨了侵入北京奥运会和残奥会冬季比赛的第24届竞争区的冷涌功能。还进行了对区域温度下降的预测技能的验证,以揭示成功或失败的预测的可能性。通过比较20个最佳预测和20个最差预测,可以认为西伯利亚高而不是其他冬季季风成员,是冷喘振预测的主要因素。

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