DOI: 10.1175/JCLI-D-13-00285.1
Scopus记录号: 2-s2.0-84897630576
论文题名: A lagrangian analysis of deep convective systems and their local environmental effects
作者: Duncan D.I. ; Kummerow C.D. ; Elsaesser G.S.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期: 5 起始页码: 2072
结束页码: 2086
语种: 英语
Scopus关键词: Climate prediction centers
; Convective precipitation
; Environmental parameter
; International satellite cloud climatology projects
; Precipitating clouds
; Sea surface temperature (SST)
; Surface radiative flux
; Total precipitable water
; Climatology
; Drops
; Life cycle
; Rain
; Speed
; Oceanography
; algorithm
; climate prediction
; cloud cover
; convective system
; environmental effect
; Lagrangian analysis
; life cycle analysis
; rainfall
; sea surface temperature
英文摘要: Life cycles of deep convective raining systems are documented through use of a Lagrangian tracking algorithm applied to high-resolution Climate Prediction Center morphing technique (CMORPH) rainfall data, permitting collocation with related environmental ancillary fields and the International Satellite Cloud Climatology Project (ISCCP) cloud states (Rossow et al. 2005). System life cycles are described in terms of propagation speed, duration, and dominant cloud structures. Tracked systems are usually associated with the ISCCP weather state 1 (WS1) deep convection cloud state and an independent, microwave-based deep convective precipitation regime developed here. The distribution and characteristics of tracked systems are found to be similar between ocean basins in terms of system speed and duration, with westward-propagating systems predominant in every basin. The effects that these systems have on environmental parameters are assessed, stratified according to their average propagation speed and by ocean basin. Regardless of system speed the net effect on the environment is similar, with the largest difference being how quickly changes occur, with net surface radiation decreasing about 150 W m-2 and total precipitable water perturbed by 5-7 kg m-2; sea surface temperature (SST) drops 0.2°-0.3°C over 24 h, with system speed affecting how long SSTs remain depressed. The observed drop in SST is partly caused by the presence of widespread, optically thick clouds that greatly decrease the net surface radiative flux. Quick changes in SSTs caused by tracked systems are captured by buoys but not represented well in gridded SST products, as these regions remain largely under the precipitating cloud cover associated with these systems. © 2014 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50915
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States
Recommended Citation:
Duncan D.I.,Kummerow C.D.,Elsaesser G.S.. A lagrangian analysis of deep convective systems and their local environmental effects[J]. Journal of Climate,2014-01-01,27(5)