| contributor author | Xiping Zeng | |
| contributor author | Xiaowen Li | |
| date accessioned | 2023-04-12T18:33:37Z | |
| date available | 2023-04-12T18:33:37Z | |
| date copyright | 2022/12/29 | |
| date issued | 2022 | |
| identifier other | JAS-D-22-0017.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4289879 | |
| description abstract | A bin (or spectral) model is developed to investigate the sensitivity of warm rain initiation to cloud condensation nuclei (CCN). It explicitly represents CCN with a formula whose parameters come from the Twomey relationship (or CCN measurements). By seamlessly integrating CCN activation and drop collection with thousands of bins, the model can replicate the effect of CCN on rain initiation, providing a benchmark to test the process parameterizations in rain initiation. The model is used to simulate two extreme cases with CCN parameters of maritime and continental clouds, respectively, where other actual cases usually lie between these two extreme cases. Its simulations show that rain can initiate within half an hour or less as observed in cumulus clouds. The fast rain initiation modeled is attributed mainly to a new process: the condensational conversion of cloud drops to raindrops via collision–coalescence initiators (or drops with radius between 28 and 100 | |
| publisher | American Meteorological Society | |
| title | Explicitly Modeling the Effects of Cloud Condensation Nuclei on Warm Rain Initiation | |
| type | Journal Paper | |
| journal volume | 80 | |
| journal issue | 1 | |
| journal title | Journal of the Atmospheric Sciences | |
| identifier doi | 10.1175/JAS-D-22-0017.1 | |
| journal fristpage | 259 | |
| journal lastpage | 272 | |
| page | 259–272 | |
| tree | Journal of the Atmospheric Sciences:;2022:;volume( 080 ):;issue: 001 | |
| contenttype | Fulltext | |