Summary
A Neyman-Scott cluster model was fitted to the daily rainfall data recorded at the observatory of Badajoz (southwestern Spain) for the period 1901–1990. The data were previously homogenized. The goodness of the fit that indicated the daily rainfall process follows some Rainfall Generating Mechanism (RGM). Having decided on the criteria that a block of rainfall must fulfill to be considered as a RGM, a method was proposed to classify the days that belong to RGMs according to the 500 hPa and the surface topography. In this method each day is characterized by a string of 22 alphanumeric characters. From the subsequent analysis, the structure of the synoptic patterns associated with each RGM was deduced.
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References
Baur, F., 1970: Catalogo de tipos de tiempo a gran escala en Europa.Notas de Meteorología Sinóptica, 24, Madrid: Instituto Nacional de Meteorología.
Eagleson, P. S., 1984: The distribution of catchment coverage by stationary rainstorms.Water Resour. Res. 20, 581–590.
Font, I., 1993:Climatologia de España y Portugal. Madrid: Instituto Nacional de Meteorologia, 296 pp.
García, J. A., Marroquin, A., Garrido, J., Mateos, V. L., 1995: Analysis of daily rainfall processes in Lower Extremadura (Spain) and homogenization of the data.Theor. Appl. Climatol. 51, 75–87.
Kavvas, M. L., Delleur, J. W., 1975: The Stochastic and\(C\)hronologicStructure of Rainfall Sequences. Application to Indiana. Indiana: Purdue University, 197 pp.
Kavvas, M. L., Delleur, J. W., 1981: A stochastic cluster model of daily rainfall sequences,Water Resour. Res. 17, 1151–1160.
Lawrance, A. L., 1972: Some models for stationary series of univariate events. In: Lewis, P. A. W. (ed.)Stochastic Point Processes: Statistical Analysis Theory and Applications. New York: Wiley.
Le Cam, L., 1961: A stochastic description. In: J. Neyman (ed.)Fourth Berkeley Symposium on Mathematics, Statistics and Probability Proceedings. Berkeley: University of California Press.
Lewis, P. A. W., 1970: Remarks on the theory, computation and application of the spectral analysis of series of events.J. Sound Vib. 12(3), 353–375.
Marroquin, A., 1988: Estudio de los Procesos de Precipitacion Diaria en Badajoz. Ph.D Thesis, Universidad de Extremadura, Badajoz. Spain.
Moyal, J. E., 1962: The general theory of stochastic population processes.Acta Math. 108, 1–31.
Neyman, J. E., Scott, E. L., 1958: A statistical approach to problems of cosmology.J. Roy. Stat. Soc., B 20, 1–43.
Neyman, J. E., Scott, E. L., 1972: Processes of clustering and applications. In: Lewis, P. A. W. (ed.)Stochastic Point Processes. New York: Wiley.
Smith, J. A., Karr, A. F., 1983: A point process of summer season rainfall occurrences.Water Resour. Res. 19, 95–103.
Todorovic, P., Yevjevich, V., 1969: Stochastic Process of Precipitation. Colorado State University Hydrology Paper 35, Fort Collins.
Vere-Jones, D., 1970: Stochastic models for earthquake occurrence.J. Roy. Stat. Soc., B 32, 1–62.
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Marroquin, A., Garcia, J.A., Garrido, J. et al. Neyman-Scott cluster model for daily rainfall processes in lower extremadura (Spain): Rainfall Generating Mechanisms. Theor Appl Climatol 52, 183–193 (1995). https://doi.org/10.1007/BF00864042
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DOI: https://doi.org/10.1007/BF00864042