DOI: 10.1002/jgrd.50432
论文题名: Improving bulk microphysics parameterizations in simulations of aerosol effects
作者: Wang Y. ; Fan J. ; Zhang R. ; Leung L.R. ; Franklin C.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 11 起始页码: 5361
结束页码: 5379
语种: 英语
英文关键词: AIE
; autoconversion
; Prognostic aerosols
Scopus关键词: Aerosols
; Clouds
; Drops
; Experiments
; Parameterization
; Physics
; Supersaturation
; Weather forecasting
; AIE
; Atmospheric observations
; Autoconversion
; Autoconversion parameterization
; Condensation/evaporation
; Deep convective clouds
; Surface precipitation
; Weather research and forecasting models
; Computer simulation
; aerosol
; climate modeling
; concentration (composition)
; condensation
; drizzle
; global climate
; parameterization
; simulation
; supersaturation
; weather forecasting
; Pacific Ocean
英文摘要: To improve the microphysical parameterizations for simulations of the aerosol effects in regional and global climate models, the Morrison double-moment bulk microphysical scheme presently implemented in the Weather Research and Forecasting model is modified by replacing the prescribed aerosols in the original bulk scheme (Bulk-OR) with a prognostic double-moment aerosol representation to predict both aerosol number concentration and mass mixing ratio (Bulk-2M). Sensitivity modeling experiments are performed for two distinct cloud regimes: maritime warm stratocumulus clouds (Sc) over southeast Pacific Ocean from the VOCALS project and continental deep convective clouds in the southeast of China. The results from Bulk-OR and Bulk-2M are compared against atmospheric observations and simulations produced by a spectral bin microphysical scheme (SBM). The prescribed aerosol approach (Bulk-OR) produces unreliable aerosol and cloud properties throughout the simulation period, when compared to the results from those using Bulk-2M and SBM, although all of the model simulations are initiated by the same initial aerosol concentration on the basis of the field observations. The impacts of the parameterizations of diffusional growth and autoconversion of cloud droplets and the selection of the embryonic raindrop radius on the performance of the bulk microphysical scheme are also evaluated by comparing the results from the modified Bulk-2M with those from SBM simulations. Sensitivity experiments using four different types of autoconversion schemes reveal that the autoconversion parameterization is crucial in determining the raindrop number, mass concentration, and drizzle formation for warm stratocumulus clouds. An embryonic raindrop size of 40 μm is determined as a more realistic setting in the autoconversion parameterization. The saturation adjustment employed in calculating condensation/evaporation in the bulk scheme is identified as the main factor responsible for the large discrepancies in predicting cloud water in the Sc case, suggesting that an explicit calculation of diffusion growth with predicted supersaturation is necessary to improve the bulk microphysics scheme. Lastly, a larger rain evaporation rate below clouds is found in the bulk scheme in comparison to the SBM simulation, which may contribute to a lower surface precipitation in the bulk scheme. © 2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63663
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Texas AandM University, College Station, TX, United States; Pacific Northwest National Laboratory, Richland, WA, United States; Centre for Australian Weather and Climate Research, Aspendale, VIC, Australia
Recommended Citation:
Wang Y.,Fan J.,Zhang R.,et al. Improving bulk microphysics parameterizations in simulations of aerosol effects[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(11)