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Cloud ice caused by atmospheric mineral dust – Part 1: Parameterization of ice nuclei concentration in the NMME-DREAM model

机译:大气矿物尘埃引起的云冰–第1部分:NMME-DREAM模型中冰核浓度的参数化

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Dust aerosols are very efficient ice nuclei, important for heterogeneous cloud glaciation even in regions distant from desert sources. A new generation of ice nucleation parameterizations, including dust as an ice nucleation agent, opens the way towards a more accurate treatment of cold cloud formation in atmospheric models. Using such parameterizations, we have developed a regional dust-atmospheric modelling system capable of predicting, in real time, dust-induced ice nucleation. We executed the model with the added ice nucleation component over the Mediterranean region, exposed to moderate Saharan dust transport, over two periods lasting 15 and 9?days, respectively. The model results were compared against satellite and ground-based cloud-ice-related measurements, provided by SEVIRI (Spinning Enhanced Visible and InfraRed Imager) and the CNR-IMAA Atmospheric Observatory (CIAO) in Potenza, southern Italy. The predicted ice nuclei concentration showed a reasonable level of agreement when compared against the observed spatial and temporal patterns of cloud ice water. The developed methodology permits the use of ice nuclei as input into the cloud microphysics schemes of atmospheric models, assuming that this approach could improve the predictions of cloud formation and associated precipitation.
机译:尘埃气溶胶是非常有效的冰核,即使在远离沙漠源的地区,对于异质云冰化也很重要。新一代的冰核参数设置,包括粉尘作为冰核剂,为在大气模型中更精确地处理冷云形成开辟了道路。使用这样的参数化方法,我们开发了一种能够实时预测粉尘引起的冰核形成的区域粉尘大气建模系统。我们执行了该模型,并在地中海地区增加了冰成核成分,分别经历了持续15天和9天的两个时期,暴露于中度撒哈拉的粉尘运输中。将模型结果与SEVIRI(旋转增强型可见光和红外成像仪)和意大利南部波坦察的CNR-IMAA大气观测站(CIAO)提供的卫星和地面云冰相关测量值进行了比较。与观察到的云冰水的时空模式相比,预测的冰核浓度显示出合理的一致性水平。假设该方法可以改善对云形成和相关降水的预测,则所开发的方法允许使用冰核作为大气模型的云微物理方案的输入。

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