贾子萱

性别:女

毕业院校:英国爱丁堡大学

学历:博士研究生毕业

在职信息:在岗

所在单位:大气科学学院(气候系统预测与变化应对全国重点实验室办公室、院士工作办公室、气象与环境联合研究中心)

办公地点:气象楼723室

联系方式:zx.jia@nuist.edu.cn

   
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Future projections of daily haze-conducive and clear weather conditions over the North China Plain using a perturbed parameter ensemble

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DOI码:10.5194/acp-22-7443-2022

发表刊物:Atmospheric Chemistry and Physics

摘要:We examine past and future changes in both winter haze and clear weather conditions over the North China Plain (NCP) using a perturbed parameter ensemble (PPE) and elucidate the influence of model physical parameterizations on these future projections for the first time. We use a large-scale meteorology-based haze weather index (HWI) with values >1 as a proxy for haze-conducive weather and HWI  for clear weather conditions over the NCP. The PPE generated using the UK Met Office's HadGEM-GC3 model shows that under a high-emission (RCP8.5) scenario, the frequency of haze-conducive weather (HWI >1) is likely to increase whereas the frequency of clear weather (HWI ) is likely to decrease in the future with a growing influence of climate change over the 21st century. Nevertheless, a reduction in the frequency of haze-conducive weather and increment in the frequency of clear weather, though less likely, is also possible. In the future, the frequency of haze-conducive weather for a given winter could be as much as ∼3.5 times higher than the frequency of clear weather over the NCP. More frequent haze-conducive weather (HWI >1) during winter over the NCP is found to be associated with an enhanced warming of the troposphere and weaker northwesterlies in the mid-troposphere over the NCP. We also examined the changes in the interannual variability of the haze-conducive and clear weather and found no marked changes in the variability during future periods. We find a clear influence of model physical parametrizations on climatological mean frequencies for both haze-conducive and clear weather. For the mid- to late 21st century (2033–2086), the parametric effect can explain up to ∼80 % of the variance in the climatological mean frequencies of PPE members. This shows that different model physical parameterizations lead to a different evolution of the model's mean climate, particularly towards the end of the 21st century. Therefore, it is desirable to consider the PPE in addition to the initialized and multimodel ensembles to obtain a more comprehensive range of plausible future projections.

全部作者:Ruth M. Doherty,David Sexton,Steven Turnock,Chaofan Li,Zixuan Jia,Zongbo Shi,Lin Pei

第一作者:Shipra Jain

论文类型:期刊论文

卷号:22

期号:11

页面范围:7443–7460

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发表时间:2022-06-10

收录刊物:SCI

发表时间:2022-06-10

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