GSTDTAP  > 地球科学
DOI10.1175/JAS-D-16-0049.1
Relationships between Large Precipitating Systems and Atmospheric Factors at a Grid Scale
Chen, Baohua1; Liu, Chuntao1; Mapes, Brian E.2
2017-02-01
发表期刊JOURNAL OF THE ATMOSPHERIC SCIENCES
ISSN0022-4928
EISSN1520-0469
出版年2017
卷号74期号:2
文章类型Article
语种英语
国家USA
英文摘要

In this study, TRMM-observed precipitation in the tropics is decomposed according to the horizontal area of radar precipitation features, with special emphasis on large systems (rain area > 10(4) km(2)) that contribute roughly half of tropical rainfall. Statistical associations of rain-weighted radar precipitation feature (RPF) size distributions with atmospheric variables on the 1.5 degrees grid of ERA-Interim data are explored. In one-predictor distributions, the association with total precipitable water vapor (TPWV) is the strongest, while relative humidity at low and midlevels and low-level wind shear are also positively related to large-RPF rain fraction. Standard CAPE and CIN variables computed from grid-mean thermodynamic profiles are only weakly related to the size of rain systems. Joint distributions over two variables are also reported. The relative importance of predictors varies over different regions. The eastern Pacific is distinctive for having large rain systems in environments with a moist boundary layer but a dry midtroposphere, with strong shallow wind shear and small CAPE. In contrast, the large-storm environment over the western Pacific is found to be moister in the whole troposphere, with relatively weaker wind shear and larger CAPE. Over tropical land, the Sahel and central Africa stand out as having a great fractional rainfall contributed by large RPFs. Their associated environment is characterized by lower TPWV but stronger shallow wind shear and larger CIN and CAPE, in comparison to the equatorial Amazon basin and the Maritime Continent. Based on these associations, statistical reconstructions of the geographical distribution of large-RPF rain fraction from grid-mean atmospheric predictors are attempted.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000394341100013
WOS关键词VERTICAL WIND SHEAR ; TROPICAL CYCLONE INTENSITY ; MESOSCALE CONVECTIVE SYSTEMS ; RAIN-PROFILING ALGORITHM ; LIVED SQUALL LINES ; WESTERN PACIFIC ; DEEP CONVECTION ; BOUNDARY-LAYER ; CLOUD CLUSTERS ; CONVERGENCE ZONES
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/29673
专题地球科学
作者单位1.Texas A&M Univ Corpus Christi, Dept Phys & Environm Sci, Corpus Christi, TX 78412 USA;
2.Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, 4600 Rickenbacker Causeway, Miami, FL 33149 USA
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GB/T 7714
Chen, Baohua,Liu, Chuntao,Mapes, Brian E.. Relationships between Large Precipitating Systems and Atmospheric Factors at a Grid Scale[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2017,74(2).
APA Chen, Baohua,Liu, Chuntao,&Mapes, Brian E..(2017).Relationships between Large Precipitating Systems and Atmospheric Factors at a Grid Scale.JOURNAL OF THE ATMOSPHERIC SCIENCES,74(2).
MLA Chen, Baohua,et al."Relationships between Large Precipitating Systems and Atmospheric Factors at a Grid Scale".JOURNAL OF THE ATMOSPHERIC SCIENCES 74.2(2017).
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