Estimating Phase Transition Rates in Shallow Cumulus Clouds from Mass Flux. Part I: Theory and Numerical SimulationsSource: Journal of the Atmospheric Sciences:;2022:;volume( 079 ):;issue: 011::page 2983Author:Yefim L. Kogan
DOI: 10.1175/JAS-D-22-0060.1Publisher: American Meteorological Society
Abstract: The system of trade wind cumulus clouds observed during the RICO field project was simulated by an LES model in a domain of the size of a mesoscale model grid. More than 2000 clouds were analyzed by stratifying them by their cloud-top heights. The investigation was focused on phase transition rates (TR), which in warm tropical clouds are represented by the processes of condensation/evaporation. We previously demonstrated, based on LES data, that a nearly perfect correlation (
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| contributor author | Yefim L. Kogan | |
| date accessioned | 2023-04-12T18:37:11Z | |
| date available | 2023-04-12T18:37:11Z | |
| date copyright | 2022/10/31 | |
| date issued | 2022 | |
| identifier other | JAS-D-22-0060.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4289970 | |
| description abstract | The system of trade wind cumulus clouds observed during the RICO field project was simulated by an LES model in a domain of the size of a mesoscale model grid. More than 2000 clouds were analyzed by stratifying them by their cloud-top heights. The investigation was focused on phase transition rates (TR), which in warm tropical clouds are represented by the processes of condensation/evaporation. We previously demonstrated, based on LES data, that a nearly perfect correlation ( | |
| publisher | American Meteorological Society | |
| title | Estimating Phase Transition Rates in Shallow Cumulus Clouds from Mass Flux. Part I: Theory and Numerical Simulations | |
| type | Journal Paper | |
| journal volume | 79 | |
| journal issue | 11 | |
| journal title | Journal of the Atmospheric Sciences | |
| identifier doi | 10.1175/JAS-D-22-0060.1 | |
| journal fristpage | 2983 | |
| journal lastpage | 2999 | |
| page | 2983–2999 | |
| tree | Journal of the Atmospheric Sciences:;2022:;volume( 079 ):;issue: 011 | |
| contenttype | Fulltext |