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A deep stratosphere-to-troposphere ozone transport event over Europe simulated in CAMS global and regional forecast systems: analysis and evaluation

机译:在CAMS全球和区域预报系统中模拟了欧洲平流层至对流层深层臭氧的深层运输事件:分析和评价

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Stratosphere-to-troposphere transport (STT) is an important natural source of tropospheric ozone, which can occasionally influence ground-level ozone concentrations relevant for air quality. Here, we analyse and evaluate the Copernicus Atmosphere Monitoring Service (CAMS) global and regional forecast systems during a deep STT event over Europe for the time period from 4 to 9?January?2017. The predominant synoptic condition is described by a deep upper level trough over eastern and central Europe, favouring the formation of tropopause folding events along the jet stream axis and therefore the intrusion of stratospheric ozone into the troposphere. Both global and regional CAMS forecast products reproduce the “hook-shaped” streamer of ozone-rich and dry air in the middle troposphere depicted from the observed satellite images of water vapour. The CAMS global model successfully reproduces the folding of the tropopause at various European sites, such as Trapani (Italy), where a deep folding down to 550?hPa is seen. The stratospheric ozone intrusions into the troposphere observed by WOUDC ozonesonde and IAGOS aircraft measurements are satisfactorily forecasted up to 3 days in advance by the CAMS global model in terms of both temporal and vertical features of ozone. The fractional gross error (FGE) of CAMS ozone day?1 forecast between 300 and 500?hPa is 0.13 over Prague, while over Frankfurt it is 0.04 and 0.19, highlighting the contribution of data assimilation, which in most cases improves the model performance. Finally, the meteorological and chemical forcing of CAMS global forecast system in the CAMS regional forecast systems is found to be beneficial for predicting the enhanced ozone concentrations in the middle troposphere during a deep STT event.
机译:平流层到对流层的运输(STT)是对流层臭氧的重要自然来源,偶尔会影响与空气质量有关的地面臭氧浓度。在这里,我们分析并评估了哥白尼大气监测服务(CAMS)在2017年1月4日至9日期间在欧洲发生的一次深空STT事件期间的全球和区域预报系统。主要的天气条件是东欧和中欧上空的深水槽,有利于沿射流轴线形成对流层顶折叠事件,因此有利于平流层臭氧侵入对流层。全球和区域的CAMS预报产品均再现了对流层中部富含臭氧和干燥空气的“钩状”流光,这是从观测到的水蒸气卫星图像描绘的。 CAMS全球模型成功地再现了对流层顶在欧洲特拉帕尼(意大利)等地的折叠,在那里可以看到低至550?hPa的深度折叠。通过CAUD全局模型,就WOODC臭氧探空仪和IAGOS飞机的测量结果观测到的对流层臭氧侵入对流层,可以在3天内就臭氧的时间和垂直特征进行令人满意的预测。在300hPa和500hPa之间,CAMS臭氧第1天的分数总误差(FGE)在布拉格为0.13,而在法兰克福为0.04和0.19,突出了数据同化的作用,这在大多数情况下改善了模型性能。最后,发现CAMS区域预报系统中CAMS全球预报系统的气象和化学强迫对于预测深部STT事件期间对流层中层臭氧浓度的增加是有益的。

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