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Comparing model and measured ice crystal concentrations in orographic clouds during the INUPIAQ campaign

机译:在INUPIAQ活动期间比较地形云中的模型和测得的冰晶浓度

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This paper assesses the reasons for high ice number concentrations observed in orographic clouds by comparing in situ measurements from the Ice NUcleation Process Investigation And Quantification field campaign (INUPIAQ) at Jungfraujoch, Switzerland (3570?m?a.s.l.) with the Weather Research and Forecasting model (WRF) simulations over real terrain surrounding Jungfraujoch. During the 2014 winter field campaign, between 20?January and 28?February, the model simulations regularly underpredicted the observed ice number concentration by 10sup3/sup?Lsup?1/sup. Previous literature has proposed several processes for the high ice number concentrations in orographic clouds, including an increased ice nucleating particle (INP) concentration, secondary ice multiplication and the advection of surface ice crystals into orographic clouds. We find that increasing INP concentrations in the model prevents the simulation of the mixed-phase clouds that were witnessed during the INUPIAQ campaign at Jungfraujoch. Additionally, the inclusion of secondary ice production upwind of Jungfraujoch into the WRF simulations cannot consistently produce enough ice splinters to match the observed concentrations. A flux of surface hoar crystals was included in the WRF model, which simulated ice concentrations comparable to the measured ice number concentrations, without depleting the liquid water content (LWC) simulated in the model. Our simulations therefore suggest that high ice concentrations observed in mixed-phase clouds at Jungfraujoch are caused by a flux of surface hoar crystals into the orographic clouds.
机译:本文通过将瑞士少女峰(3570?m?asl)的冰成核过程调查与量化野外调查(INUPIAQ)的原位测量结果与天气研究和预测模型进行比较,评估了地形云中观测到的高冰数浓度的原因。 (WRF)在少女峰周围的真实地形上进行模拟。在2014年冬季野外活动期间,从1月20日到2月28日,模型模拟经常低估了观测到的冰数浓度10 3 ?L ?1 。先前的文献提出了几种针对地形云中高冰数浓度的方法,包括增加冰核颗粒(INP)浓度,二次冰倍增以及将表面冰晶平流到地形云中。我们发现,模型中INP浓度的增加会阻止对少女峰INUPIAQ活动期间目睹的混合相云的模拟。此外,将少女峰上游的二次制冰过程纳入WRF模拟不能始终产生足够的冰碎片来匹配观测到的浓度。在WRF模型中包括了一个表面白水晶通量,该模型模拟的冰浓度与测得的冰数浓度相当,而不会消耗模型中模拟的液态水含量(LWC)。因此,我们的模拟表明,在少女峰地区混合相云中观测到的高冰浓度是由表层白水晶向地表云中的通量引起的。

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