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DOI | 10.1029/2017JD028192 |
Cloud Microphysical Factors Affecting Simulations of Deep Convection During the Presummer Rainy Season in Southern China | |
Furtado, Kalli1; Field, Paul R.1; Luo, Yali2; Liu, Xi2; Guo, Zhun3; Zhou, Tianjun3; Shipway, Benjamin J.1; Hill, Adrian A.2; Wilkinson, Jonathan M.1 | |
2018-09-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2018 |
卷号 | 123期号:18页码:10477-10505 |
文章类型 | Article |
语种 | 英语 |
国家 | England; Peoples R China |
英文摘要 | The sensitivity of subtropical deep convection to the parameterization of cloud microphysics is elucidated through high-resolution modeling of extreme presummer rainfall over southern China. An ensemble of physics configuration experiments is used to identify several drivers of model errors in comparison to radar observations from the South China Monsoon Rainfall Experiment (SCMREX) and remotely sensed estimates of cloud, precipitation, and radiation from satellites in the A-train constellation. The benefits of increasing the number of prognostic variables in the microphysics scheme is assessed, relative to the effects of the parameterization of cloud microphysical properties and cloud fraction diagnosis. By matching individual parameterizations between the microphysical configurations, it is shown that a small subset of the parameterization changes can reproduce most of the dependence of model performance on physics configuration. In particular, biases that are due to the low-level clouds and rain are strongly influenced by cloud fraction diagnosis and raindrop size distribution, whereas variations in the effects of high clouds are strongly influenced by differences in the parameterization of ice crystal sedimentation. Hence, for the case studied here, these parameterizations give more insight into the causes of variability in model performance than does the number of model prognostics per se. |
英文关键词 | clouds microphysics monsoons China modeling observations |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000447807300027 |
WOS关键词 | ENERGY SYSTEM INSTRUMENT ; ANGULAR-DISTRIBUTION MODELS ; RADIATIVE FLUX ESTIMATION ; OFFICE UNIFIED MODEL ; SURFACE OBSERVATIONS ; PART I ; MODIS/TERRA MEASUREMENTS ; SCHEME DESCRIPTION ; SIZE DISTRIBUTION ; TERRA SATELLITE |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32281 |
专题 | 气候变化 |
作者单位 | 1.Met Off, Exeter, Devon, England; 2.Chinese Acad Meteorol Sci, Beijing, Peoples R China; 3.Inst Atmospher Phys, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Furtado, Kalli,Field, Paul R.,Luo, Yali,et al. Cloud Microphysical Factors Affecting Simulations of Deep Convection During the Presummer Rainy Season in Southern China[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(18):10477-10505. |
APA | Furtado, Kalli.,Field, Paul R..,Luo, Yali.,Liu, Xi.,Guo, Zhun.,...&Wilkinson, Jonathan M..(2018).Cloud Microphysical Factors Affecting Simulations of Deep Convection During the Presummer Rainy Season in Southern China.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(18),10477-10505. |
MLA | Furtado, Kalli,et al."Cloud Microphysical Factors Affecting Simulations of Deep Convection During the Presummer Rainy Season in Southern China".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.18(2018):10477-10505. |
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