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DOI | 10.5194/acp-20-3503-2020 |
Statistical analysis of ice microphysical properties in tropical mesoscale convective systems derived from cloud radar and in situ microphysical observations | |
Fontaine, Emmanuel1,6,7; Schwarzenboeck, Alfons1; Leroy, Delphine1; Delanoe, Julien2; Protat, Alain3; Dezitter, Fabien4; Strapp, John Walter5; Lilie, Lyle Edward5 | |
2020-03-25 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2020 |
卷号 | 20期号:6页码:3503-3553 |
文章类型 | Article |
语种 | 英语 |
国家 | France; Australia; Canada; Taiwan |
英文摘要 | This study presents a statistical analysis of the properties of ice hydrometeors in tropical mesoscale convective systems observed during four different aircraft campaigns. Among the instruments on board the aircraft, we focus on the synergy of a 94 GHz cloud radar and two optical array probes (OAP; measuring hydrometeor sizes from 10 mu m to about 1 cm). For two campaigns, an accurate simultaneous measurement of the ice water content is available, while for the two others, ice water content is retrieved from the synergy of the radar reflectivity measurements and hydrometeor size and morphological retrievals from OAP probes. The statistics of ice hydrometeor properties are calculated as a function of radar reflectivity factor measurement percentiles and temperature. Hence, mesoscale convective systems (MCS) microphysical properties (ice water content, visible extinction, mass-size relationship coefficients, total concentrations, and second and third moments of hydrometeor size distribution) are sorted in temperature (and thus altitude) zones, and each individual campaign is subsequently analyzed with respect to median microphysical properties of the merged dataset (merging all four campaign datasets). The study demonstrates that ice water content (IWC), visible extinction, total crystal concentration, and the second and third moments of hydrometeor size distributions are similar in all four types of MCS for IWC larger than 0.1 gm(-3). two parameterizations are developed for deep convective systems. The first concerns the calculation of the visible extinction as a function of temperature and ice water content. The second concerns the calculation of hydrometeor size distributions as a function of ice water content and temperature that can be used in numerical weather prediction. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000522152600001 |
WOS关键词 | WATER-CONTENT ; SIZE DISTRIBUTION ; MASS-DIAMETER ; PART I ; RETRIEVAL ; WIND ; PARAMETERIZATION ; REFLECTIVITY ; TEMPERATURES ; OSCILLATION |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; 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/278706 |
专题 | 地球科学 |
作者单位 | 1.CNRS, Lab Meteorol Phys, UCA, Aubiere, France; 2.UVSQ, Lab Atmosphere Milieux & Observat Spatiales, Guyancourt, France; 3.Ctr Australian Weather & Climate Res, Melbourne, Vic, Australia; 4.Airbus Helicopters, Toulouse, France; 5.Met Analyt, Toronto, ON, Canada; 6.Natl Taiwan Univ, Dept Atmospher Sci, Taipei, Taiwan; 7.Univ Toulouse, CNRS, Meteo France, CNRM, Lannion, France |
推荐引用方式 GB/T 7714 | Fontaine, Emmanuel,Schwarzenboeck, Alfons,Leroy, Delphine,et al. Statistical analysis of ice microphysical properties in tropical mesoscale convective systems derived from cloud radar and in situ microphysical observations[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2020,20(6):3503-3553. |
APA | Fontaine, Emmanuel.,Schwarzenboeck, Alfons.,Leroy, Delphine.,Delanoe, Julien.,Protat, Alain.,...&Lilie, Lyle Edward.(2020).Statistical analysis of ice microphysical properties in tropical mesoscale convective systems derived from cloud radar and in situ microphysical observations.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(6),3503-3553. |
MLA | Fontaine, Emmanuel,et al."Statistical analysis of ice microphysical properties in tropical mesoscale convective systems derived from cloud radar and in situ microphysical observations".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.6(2020):3503-3553. |
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