DOI: 10.1002/2017JD027148
Scopus记录号: 2-s2.0-85043389355
论文题名: A Multiplicative Cascade Model for High-Resolution Space-Time Downscaling of Rainfall
作者: Raut B.A. ; Seed A.W. ; Reeder M.J. ; Jakob C.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 4 起始页码: 2050
结束页码: 2067
语种: 英语
英文关键词: climate change
; design storm
; flood mitigation
; infrastructure and planning
; urban drainage
; water harvesting
英文摘要: Distributions of rainfall with the time and space resolutions of minutes and kilometers, respectively, are often needed to drive the hydrological models used in a range of engineering, environmental, and urban design applications. The work described here is the first step in constructing a model capable of downscaling rainfall to scales of minutes and kilometers from time and space resolutions of several hours and a hundred kilometers. A multiplicative random cascade model known as the Short-Term Ensemble Prediction System is run with parameters from the radar observations at Melbourne (Australia). The orographic effects are added through multiplicative correction factor after the model is run. In the first set of model calculations, 112 significant rain events over Melbourne are simulated 100 times. Because of the stochastic nature of the cascade model, the simulations represent 100 possible realizations of the same rain event. The cascade model produces realistic spatial and temporal patterns of rainfall at 6 min and 1 km resolution (the resolution of the radar data), the statistical properties of which are in close agreement with observation. In the second set of calculations, the cascade model is run continuously for all days from January 2008 to August 2015 and the rainfall accumulations are compared at 12 locations in the greater Melbourne area. The statistical properties of the observations lie with envelope of the 100 ensemble members. The model successfully reproduces the frequency distribution of the 6 min rainfall intensities, storm durations, interarrival times, and autocorrelation function. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114439
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: School of Earth, Atmosphere and Environment, Monash University, Melbourne, Australia; Cooperative Research Centre for Water Sensitive Cities, Monash University, Melbourne, Australia; Centre for Australian Weather and Climate Research, Bureau of Meteorology, Melbourne, Australia; Australian Research Council Centre of Excellence for Climate System Science, School of Earth, Atmosphere and Environment, Monash University, Melbourne, Australia
Recommended Citation:
Raut B.A.,Seed A.W.,Reeder M.J.,et al. A Multiplicative Cascade Model for High-Resolution Space-Time Downscaling of Rainfall[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(4)