Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-18-6493-2018 |
Microphysical variability of Amazonian deep convective cores observed by CloudSat and simulated by a multi-scale modeling framework | |
Dodson, J. Brant1; Taylor, Patrick C.2; Branson, Mark3 | |
2018-05-08 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2018 |
卷号 | 18期号:9页码:6493-6510 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Recently launched cloud observing satellites provide information about the vertical structure of deep convection and its microphysical characteristics. In this study, CloudSat reflectivity data is stratified by cloud type, and the contoured frequency by altitude diagrams reveal a doublearc structure in deep convective cores (DCCs) above 8 km. This suggests two distinct hydrometeor modes (snow versus hail/graupel) controlling variability in reflectivity profiles. The day-night contrast in the double arcs is about four times larger than the wet-dry season contrast. Using QuickBeam, the vertical reflectivity structure of DCCs is analyzed in two versions of the Superparameterized Community Atmospheric Model (SP-CAM) with single-moment (no graupel) and double-moment (with graupel) microphysics. Double-moment microphysics shows better agreement with observed reflectivity profiles; however, neither model variant captures the double-arc structure. Ultimately, the results show that simulating realistic DCC vertical structure and its variability requires accurate representation of ice microphysics, in particular the hail/graupel modes, though this alone is insufficient. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000431733900001 |
WOS关键词 | DIURNAL CYCLE ; TROPICAL CONVECTION ; GLOBAL DISTRIBUTION ; PRECIPITATION SYSTEMS ; RESOLVING MODEL ; UNITED-STATES ; LIFE-CYCLE ; PART III ; TRMM ; SENSITIVITY |
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/30352 |
专题 | 地球科学 |
作者单位 | 1.Sci Syst & Applicat Inc, Hampton, VA 23666 USA; 2.NASA, Langley Res Ctr, Climate Sci Branch, Hampton, VA 23665 USA; 3.Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA |
推荐引用方式 GB/T 7714 | Dodson, J. Brant,Taylor, Patrick C.,Branson, Mark. Microphysical variability of Amazonian deep convective cores observed by CloudSat and simulated by a multi-scale modeling framework[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2018,18(9):6493-6510. |
APA | Dodson, J. Brant,Taylor, Patrick C.,&Branson, Mark.(2018).Microphysical variability of Amazonian deep convective cores observed by CloudSat and simulated by a multi-scale modeling framework.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(9),6493-6510. |
MLA | Dodson, J. Brant,et al."Microphysical variability of Amazonian deep convective cores observed by CloudSat and simulated by a multi-scale modeling framework".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.9(2018):6493-6510. |
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