DOI: 10.1016/j.atmosres.2017.09.020
Scopus记录号: 2-s2.0-85033502501
论文题名: Autocorrelation structure of convective rainfall in semiarid-arid climate derived from high-resolution X-Band radar estimates
作者: Marra F. ; Morin E.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 200 起始页码: 126
结束页码: 138
语种: 英语
英文关键词: Autocorrelation
; Convective rainfall
; Semiarid, arid climate
; X-Band weather radar
Scopus关键词: Autocorrelation
; Catchments
; Gages
; Meteorological radar
; Radar
; Radar measurement
; Rain gages
; Remote sensing
; Satellite links
; Stochastic models
; Stochastic systems
; Arid climates
; Autocorrelation structures
; Cloud resolving model
; Quantitative information
; Spatial autocorrelations
; Stochastic weather generator
; Temporal variability
; X-band weather radar
; Rain
; arid region
; autocorrelation
; catchment
; convective system
; radar
; rainfall
; regional climate
; remote sensing
; semiarid region
; spatiotemporal analysis
英文摘要: Small scale rainfall variability is a key factor driving runoff response in fast responding systems, such as mountainous, urban and arid catchments. In this paper, the spatial–temporal autocorrelation structure of convective rainfall is derived with extremely high resolutions (60 m, 1 min) using estimates from an X-Band weather radar recently installed in a semiarid-arid area. The 2-dimensional spatial autocorrelation of convective rainfall fields and the temporal autocorrelation of point-wise and distributed rainfall fields are examined. The autocorrelation structures are characterized by spatial anisotropy, correlation distances ~ 1.5–2.8 km and rarely exceeding 5 km, and time-correlation distances ~ 1.8–6.4 min and rarely exceeding 10 min. The observed spatial variability is expected to negatively affect estimates from rain gauges and microwave links rather than satellite and C-/S-Band radars; conversely, the temporal variability is expected to negatively affect remote sensing estimates rather than rain gauges. The presented results provide quantitative information for stochastic weather generators, cloud-resolving models, dryland hydrologic and agricultural models, and multi-sensor merging techniques. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109011
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Institute of Earth Sciences, Hebrew University of Jerusalem, Israel
Recommended Citation:
Marra F.,Morin E.. Autocorrelation structure of convective rainfall in semiarid-arid climate derived from high-resolution X-Band radar estimates[J]. Atmospheric Research,2018-01-01,200