Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JAS-D-18-0326.1 |
Pair Correlations and Spatial Statistics of Deep Convection over the Tropical Atlantic | |
Senf, Fabian1; Brueck, Matthias2; Klocke, Daniel3 | |
2019-10-01 | |
发表期刊 | JOURNAL OF THE ATMOSPHERIC SCIENCES |
ISSN | 0022-4928 |
EISSN | 1520-0469 |
出版年 | 2019 |
卷号 | 76期号:10页码:3211-3228 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany |
英文摘要 | Over the tropical oceans, the large-scale, meridional circulation drives the accumulation of moist and warm air, leading to a relatively narrow, convectively active band. Therein, deep moist convection interacts with its heterogeneous environment-the intertropical convergence zone (ITCZ)-and organizes into multiscale structures that strongly impact Earth's hydrological cycle and radiation budget. Understanding the spatial correlations and interactions among deep convective clouds is important, but challenging. These clouds are investigated in this study with the help of large-domain, storm-resolving simulations over the tropical Atlantic. Based on vertically integrated mass flux fields, deep convective updraft cells are identified with object-based techniques and analyzed with respect to their structural behavior and spatial arrangement. The pair-correlation method, which compares simulated pair numbers as a function of pair distance to an appropriately chosen reference, is applied and extended to allow for spatial statistics in a heterogeneous environment (i.e., the ITCZ). Based on pair-correlation analysis, the average probability is enhanced to find an updraft cell pair within 100 km compared to a random distribution. Additionally, the spatial arrangement of larger or stronger cells deviates more from randomness compared to smaller or weaker cells, which might be related to their stronger dynamical interaction mechanisms. Using simplified equilibrium statistics of interacting cells, several spatial characteristics of the storm-resolving simulations can be reproduced. |
英文关键词 | Atlantic Ocean Intertropical convergence zone Deep convection Mass fluxes transport Statistical techniques Stochastic models |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000488503400002 |
WOS关键词 | SELF-AGGREGATION ; CLOUD FIELDS ; STOCHASTIC PARAMETRIZATION ; MODEL ; ORGANIZATION ; SYSTEMS ; PARAMETERIZATION ; ENSEMBLE ; FLUCTUATIONS ; CIRCULATION |
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/187471 |
专题 | 地球科学 |
作者单位 | 1.Leibniz Inst Tropospher Res, Leipzig, Germany; 2.Max Planck Inst Meteorol, Hamburg, Germany; 3.Deutsch Wetterdienst, Hans Ertel Ctr Weather Res, Offenbach, Germany |
推荐引用方式 GB/T 7714 | Senf, Fabian,Brueck, Matthias,Klocke, Daniel. Pair Correlations and Spatial Statistics of Deep Convection over the Tropical Atlantic[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2019,76(10):3211-3228. |
APA | Senf, Fabian,Brueck, Matthias,&Klocke, Daniel.(2019).Pair Correlations and Spatial Statistics of Deep Convection over the Tropical Atlantic.JOURNAL OF THE ATMOSPHERIC SCIENCES,76(10),3211-3228. |
MLA | Senf, Fabian,et al."Pair Correlations and Spatial Statistics of Deep Convection over the Tropical Atlantic".JOURNAL OF THE ATMOSPHERIC SCIENCES 76.10(2019):3211-3228. |
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