DOI: 10.1007/s00382-017-3830-7
Scopus记录号: 2-s2.0-85026486599
论文题名: Dependence of estimated precipitation frequency and intensity on data resolution
作者: Chen D. ; Dai A.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2018
卷: 50, 期: 2018-09-10 起始页码: 3625
结束页码: 3647
语种: 英语
英文关键词: Data resolution
; Frequency
; Intensity
; Model evaluation
; Precipitation
Scopus关键词: climate modeling
; data processing
; data set
; precipitation assessment
; precipitation intensity
; probability
; satellite data
; seasonal variation
; spatiotemporal analysis
英文摘要: Precipitation frequency (F) and intensity (I) are important characteristics that climate models often fail to simulate realistically. Their estimates are highly sensitive to the spatial and temporal resolutions of the input data and this further complicates the comparison between models and observations. Here, we analyze 3-hourly precipitation data on a 0.25° grid from two satellite-derived datasets, namely TRMM 3B42 and CMORPH_V1.0, to quantify this dependence of the estimated precipitation F and I on data resolution. We then develop a simple probability-based relationship to explain this dependence, and examine the spatial and seasonal variations in the estimated F and I fields. As expected, precipitation F (I) increases (decreases) with the size of the grid box or time interval over which the data are averaged, but the magnitude of this change varies with location, and is strongest in the tropics and weakest in the subtropics. Our simple relationship can quantitatively explain this dependence of the estimated F and I on the spatial or temporal resolution of the input data. This demonstrates that large differences in the estimated F and I can arise purely from the differences in the spatial or temporal resolution of the input data. The results highlight the need to have similar resolution in comparing two datasets or between observations and models. Our estimates show that extremely low frequencies (<1%) are seen over the subtropics while the highest frequencies (20–40%) are located mostly over the tropics, and that the high frequency results from both longer and more frequent precipitation events. Precipitation intensity is more uniformly distributed than frequency. Strong correlations between the amount and frequency confirm the notion that the frequency plays a bigger role than intensity in determining precipitation variations. © 2017, Springer-Verlag GmbH Germany. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109310
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: Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York (SUNY), Albany, NY 12222, United States; National Center for Atmospheric Research (NCAR), Boulder, CO, United States
Recommended Citation:
Chen D.,Dai A.. Dependence of estimated precipitation frequency and intensity on data resolution[J]. Climate Dynamics,2018-01-01,50(2018-09-10)