Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016JD026321 |
Why are mixed-phase altocumulus clouds poorly predicted by large-scalemodels? Part 1. Physical processes | |
Barrett, Andrew I.1; Hogan, Robin J.1,2; Forbes, Richard M.2 | |
2017-09-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:18 |
文章类型 | Article |
语种 | 英语 |
国家 | England |
英文摘要 | Mixed-phase layer clouds are radiatively important and their correct representation in numerical models of the atmosphere is needed for both weather forecasts and climate prediction. In particular, midlevel mixed-phase layer clouds (altocumulus) are often poorly predicted. Here the representation of altocumulus cloud in five operational models and the ERA-Interim reanalysis is evaluated using ground-based remote sensors. All models are found to underestimate the supercooled liquid water content by at least a factor of 2. The models with the most sophisticated microphysics (separate prognostic variables for liquid and ice) had least supercooled liquid of all models, though they could simulate the correct liquid-over-ice structure of individual clouds. To investigate the reasons for the lack of predicted supercooled liquid water, a single-column model (EMPIRE) was developed incorporating the relevant physical processes for altocumulus cloud. The supercooled liquid water was found to be the most sensitive to factors that significantly affect the glaciation rate, including aspects of the ice microphysics formulation, as well as the model vertical resolution. Using observations to improve the ice particle size distribution formulation and the parametrization of ice cloud fraction also lead to a significant increase in supercooled liquid water in the simulated clouds. The study highlights the main parameterized processes that need careful attention in large-scale models in order to adequately represent the liquid phase in mixed-phase layer clouds. In Part 2, the reason for the sensitivity to vertical resolution is investigated and a new parameterization for models with coarse vertical resolution is proposed. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000416388000022 |
WOS关键词 | SUPERCOOLED LIQUID WATER ; RESOLVING SIMULATIONS ; SCHEME DESCRIPTION ; STRATIFORM CLOUDS ; MESOSCALE MODEL ; CARBON-DIOXIDE ; ARCTIC STRATUS ; SOUTHERN-OCEAN ; CLIMATE MODELS ; ICE |
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/32609 |
专题 | 气候变化 |
作者单位 | 1.Univ Reading, Dept Meteorol, Reading, Berks, England; 2.European Ctr Medium Range Weather Forecasts, Reading, Berks, England |
推荐引用方式 GB/T 7714 | Barrett, Andrew I.,Hogan, Robin J.,Forbes, Richard M.. Why are mixed-phase altocumulus clouds poorly predicted by large-scalemodels? Part 1. Physical processes[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(18). |
APA | Barrett, Andrew I.,Hogan, Robin J.,&Forbes, Richard M..(2017).Why are mixed-phase altocumulus clouds poorly predicted by large-scalemodels? Part 1. Physical processes.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(18). |
MLA | Barrett, Andrew I.,et al."Why are mixed-phase altocumulus clouds poorly predicted by large-scalemodels? Part 1. Physical processes".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.18(2017). |
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