Direct Lagrangian tracking simulation of droplet growth in vertically developing cloud
<p>We present a direct Lagrangian simulation that computes key warm-rain processes in a vertically developing cloud, including cloud condensation nuclei (CCN) activation, condensational growth, collisional growth, and droplet gravitational settling. This simulation, which tracks the motion...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2018-11-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/18/16619/2018/acp-18-16619-2018.pdf |
| _version_ | 1818199173530386432 |
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| author | Y. Kunishima R. Onishi |
| author_facet | Y. Kunishima R. Onishi |
| author_sort | Y. Kunishima |
| collection | DOAJ |
| description | <p>We present a direct Lagrangian simulation that computes key warm-rain
processes in a vertically developing cloud, including cloud condensation nuclei
(CCN) activation, condensational growth, collisional growth, and droplet
gravitational settling. This simulation, which tracks the motion and growth
of individual particles, is applied to a kinematic simulation of an
extremely vertically elongated quasi-one-dimensional domain, after which the
results are compared with those obtained from a spectral-bin model, which
adopts the conventional Eulerian framework. The comparison results, which
confirm good bulk statistical agreement between the Lagrangian and
conventional spectral-bin simulations, also show that the Lagrangian
simulation is free from the numerical diffusion found in the spectral-bin
simulation. After analyzing the Lagrangian statistics of the surface
raindrops that reach the ground surface, back-trajectory scrutiny reveals
that the Lagrangian statistics of surface raindrops contains the information
about the sky where the raindrops grow like the shape does for snow crystals.</p> |
| first_indexed | 2024-12-12T02:17:33Z |
| format | Article |
| id | doaj.art-f4967abf9a0f4ee48c2bd357dcade69e |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-12T02:17:33Z |
| publishDate | 2018-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-f4967abf9a0f4ee48c2bd357dcade69e2022-12-22T00:41:46ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242018-11-0118166191663010.5194/acp-18-16619-2018Direct Lagrangian tracking simulation of droplet growth in vertically developing cloudY. Kunishima0R. Onishi1Center for Earth Information Science and Technology, Japan Agency for Marine-Earth Science and Technology 3173-25 Showa-machi, Kanazawa-ku Yokohama Kanagawa 236-0001, JapanCenter for Earth Information Science and Technology, Japan Agency for Marine-Earth Science and Technology 3173-25 Showa-machi, Kanazawa-ku Yokohama Kanagawa 236-0001, Japan<p>We present a direct Lagrangian simulation that computes key warm-rain processes in a vertically developing cloud, including cloud condensation nuclei (CCN) activation, condensational growth, collisional growth, and droplet gravitational settling. This simulation, which tracks the motion and growth of individual particles, is applied to a kinematic simulation of an extremely vertically elongated quasi-one-dimensional domain, after which the results are compared with those obtained from a spectral-bin model, which adopts the conventional Eulerian framework. The comparison results, which confirm good bulk statistical agreement between the Lagrangian and conventional spectral-bin simulations, also show that the Lagrangian simulation is free from the numerical diffusion found in the spectral-bin simulation. After analyzing the Lagrangian statistics of the surface raindrops that reach the ground surface, back-trajectory scrutiny reveals that the Lagrangian statistics of surface raindrops contains the information about the sky where the raindrops grow like the shape does for snow crystals.</p>https://www.atmos-chem-phys.net/18/16619/2018/acp-18-16619-2018.pdf |
| spellingShingle | Y. Kunishima R. Onishi Direct Lagrangian tracking simulation of droplet growth in vertically developing cloud Atmospheric Chemistry and Physics |
| title | Direct Lagrangian tracking simulation of droplet growth in vertically developing cloud |
| title_full | Direct Lagrangian tracking simulation of droplet growth in vertically developing cloud |
| title_fullStr | Direct Lagrangian tracking simulation of droplet growth in vertically developing cloud |
| title_full_unstemmed | Direct Lagrangian tracking simulation of droplet growth in vertically developing cloud |
| title_short | Direct Lagrangian tracking simulation of droplet growth in vertically developing cloud |
| title_sort | direct lagrangian tracking simulation of droplet growth in vertically developing cloud |
| url | https://www.atmos-chem-phys.net/18/16619/2018/acp-18-16619-2018.pdf |
| work_keys_str_mv | AT ykunishima directlagrangiantrackingsimulationofdropletgrowthinverticallydevelopingcloud AT ronishi directlagrangiantrackingsimulationofdropletgrowthinverticallydevelopingcloud |