DOI: 10.5194/hess-21-2389-2017
Scopus记录号: 2-s2.0-85018923855
论文题名: Intensity-duration-frequency curves from remote sensing rainfall estimates: Comparing satellite and weather radar over the eastern Mediterranean
作者: Marra F ; , Morin E ; , Peleg N ; , Mei Y ; , Anagnostou E ; N
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 5 起始页码: 2389
结束页码: 2404
语种: 英语
Scopus关键词: Catchments
; Gages
; Meteorological radar
; Radar
; Rain
; Rain gages
; Remote sensing
; Satellites
; Uncertainty analysis
; Water resources
; Weather satellites
; Eastern Mediterranean
; Intensity-duration-frequency curves
; Probability of occurrence
; Rainfall estimates
; Rainfall extremes
; Semi-arid climate
; Spatial correlations
; Temporal aggregation
; Space-based radar
; radar
; rainfall
; raingauge
; remote sensing
; return period
; satellite data
; satellite sensor
; semiarid region
; water resource
; Mediterranean Region
英文摘要: Intensity-duration-frequency (IDF) curves are widely used to quantify the probability of occurrence of rainfall extremes. The usual rain gauge-based approach provides accurate curves for a specific location, but uncertainties arise when ungauged regions are examined or catchment-scale information is required. Remote sensing rainfall records, e.g. from weather radars and satellites, are recently becoming available, providing high-resolution estimates at regional or even global scales; their uncertainty and implications on water resources applications urge to be investigated. This study compares IDF curves from radar and satellite (CMORPH) estimates over the eastern Mediterranean (covering Mediterranean, semiarid, and arid climates) and quantifies the uncertainty related to their limited record on varying climates. We show that radar identifies thicker-tailed distributions than satellite, in particular for short durations, and that the tail of the distributions depends on the spatial and temporal aggregation scales. The spatial correlation between radar IDF and satellite IDF is as high as 0.7 for 2-5-year return period and decreases with longer return periods, especially for short durations. The uncertainty related to the use of short records is important when the record length is comparable to the return period (∼50, ∼100, and ∼150% for Mediterranean, semiarid, and arid climates, respectively). The agreement between IDF curves derived from different sensors on Mediterranean and, to a good extent, semiarid climates, demonstrates the potential of remote sensing datasets and instils confidence on their quantitative use for ungauged areas of the Earth. © 2017 The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79178
Appears in Collections: 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, Jerusalem, Israel; Institute of Environmental Engineering, Hydrology and Water Resources Management, ETH Zurich, Zurich, Switzerland; Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT, United States
Recommended Citation:
Marra F,, Morin E,, Peleg N,et al. Intensity-duration-frequency curves from remote sensing rainfall estimates: Comparing satellite and weather radar over the eastern Mediterranean[J]. Hydrology and Earth System Sciences,2017-01-01,21(5)