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AGU: Journal of Geophysical Research, Atmospheres

 
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Abstract

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 92, NO. D8, PP. 9661-9678, 1987
doi:10.1029/JD092iD08p09661

Application of Spatial Poisson Models to Air Mass Thunderstorm Rainfall

P. S. Eagleson

Department of Civil Engineering, Massachusetts Institute of Technology, Cambridge

N. M. Fennessey

Department of Civil Engineering, Massachusetts Institute of Technology, Cambridge

Wang Qinliang

Yangtze Valley Planning Office, Ministry of Water Resources and Electric Power, Wuhan, People's Republic of China

I. Rodriguez-Iturbe

Graduate Program in Hydrology and Water Resources, Universidad Simon Bolivar, Caracas, Venezuela

Eight years of summer storm rainfall observations from 93 stations in and around the 154 km2 Walnut Gulch catchment of the Agricultural Research Service, U.S. Department of Agriculture, in Arizona are processed to yield the total station depths of 428 storms. Statistical analysis of these random fields yields the first two moments, the spatial correlation and variance functions, and the spatial distribution of total rainfall for each storm. The sample is then split, and half is used to estimate, for each storm day, the distributions of the three parameters of each of the three conceptual spatial Poisson process models proposed previously by Rodriguez-Iturbe et al. (1986). The absolute and relative worth of the three Poisson models are evaluated by comparing their prediction of the spatial distribution of storm rainfall with observations from the second half of the sample. The effect of interstorm parameter variation is examined.

Received 3 July 1986; accepted 5 March 1987; .

Citation: Eagleson, P. S., N. M. Fennessey, W. Qinliang, and I. Rodriguez-Iturbe (1987), Application of Spatial Poisson Models to Air Mass Thunderstorm Rainfall, J. Geophys. Res., 92(D8), 9661–9678, doi:10.1029/JD092iD08p09661.

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