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Aerosol-cloud-precipitation interactions in WRF model: Sensitivity to autoconversion parameterization
Xie Xiaoning1; Liu Xiaodong1,2

Cloud-to-rain autoconversion process is an important player in aerosol loading, cloud morphology, and precipitation variations because it can modulate cloud microphysical characteristics depending on the participation of aerosols, and affects the spatio-temporal distribution and total amount of precipitation. By applying the Kessler, the Khairoutdinov-Kogan (KK), and the Dispersion autoconversion parameterization schemes in a set of sensitivity experiments, the indirect effects of aerosols on clouds and precipitation are investigated for a deep convective cloud system in Beijing under various aerosol concentration backgrounds from 50 to 10000 cm(-3). Numerical experiments show that aerosol-induced precipitation change is strongly dependent on autoconversion parameterization schemes. For the Kessler scheme, the average cumulative precipitation is enhanced slightly with increasing aerosols, whereas surface precipitation is reduced significantly with increasing aerosols for the KK scheme. Moreover, precipitation varies non-monotonically for the Dispersion scheme, increasing with aerosols at lower concentrations and decreasing at higher concentrations. These different trends of aerosol-induced precipitation change are mainly ascribed to differences in rain water content under these three autoconversion parameterization schemes. Therefore, this study suggests that accurate parameterization of cloud microphysical processes, particularly the cloud-to-rain autoconversion process, is needed for improving the scientific understanding of aerosol-cloud-precipitation interactions.

KeywordAutoconversion Parameterization Aerosol-cloud-precipitation Interactions Numerical Simulation
WOS HeadingsScience & Technology ; Physical Sciences
WOS KeywordPart i ; Microphysics Scheme ; Climate Models ; Impacts ; Stratocumulus ; Condensation ; Atmosphere ; Weather
Indexed BySCI
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000349829500005
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorXie Xiaoning
Affiliation1.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710075, Peoples R China
2.Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Dept Environm Sci & Technol, Xian 710049, Peoples R China
Recommended Citation
GB/T 7714
Xie Xiaoning,Liu Xiaodong. Aerosol-cloud-precipitation interactions in WRF model: Sensitivity to autoconversion parameterization[J]. JOURNAL OF METEOROLOGICAL RESEARCH,2015,29(1):72-81.
APA Xie Xiaoning,&Liu Xiaodong.(2015).Aerosol-cloud-precipitation interactions in WRF model: Sensitivity to autoconversion parameterization.JOURNAL OF METEOROLOGICAL RESEARCH,29(1),72-81.
MLA Xie Xiaoning,et al."Aerosol-cloud-precipitation interactions in WRF model: Sensitivity to autoconversion parameterization".JOURNAL OF METEOROLOGICAL RESEARCH 29.1(2015):72-81.
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