作者: Axel Seifert , Alexander Khain , Andrei Pokrovsky , Klaus D. Beheng
DOI: 10.1016/J.ATMOSRES.2005.06.009
关键词: Convective storm detection 、 Cloud condensation nuclei 、 Environmental science 、 Precipitation 、 Atmospheric sciences 、 Cloud physics 、 Nucleation 、 Liquid water content 、 Bin 、 Squall line
摘要: Abstract This numerical study investigates the representation of cloud microphysical processes in resolving models and effects different characteristics condensation nuclei (CCN) on evolution deep convective storms. A comparison several simulations is presented obtained by applying a spectral bin method two-moment bulk scheme to squall line. Both modeling approaches show similar results regarding vertical structure clouds, updraft velocities surface precipitation as well sensitivity these parameters changes CCN characteristics. The simulated isolated cell reveals strong effect variation concentration amount precipitation, while for line system depend specific treatment nucleation process.