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DOI10.5194/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
ISSN1680-7316
EISSN1680-7324
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
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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
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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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