Abstract

Abstract. Flood simulation studies use spatial-temporal rainfall data input into distributed hydrological models. A correct description of rainfall in space and in time contributes to improvements on hydrological modelling and design. This work is focused on the analysis of 2-D convective structures (rain cells), whose contribution is especially significant in most flood events. The objective of this paper is to provide statistical descriptors and distribution functions for convective structure characteristics of precipitation systems producing floods in Catalonia (NE Spain). To achieve this purpose heavy rainfall events recorded between 1996 and 2000 have been analysed. By means of weather radar, and applying 2-D radar algorithms a distinction between convective and stratiform precipitation is made. These data are introduced and analyzed with a GIS. In a first step different groups of connected pixels with convective precipitation are identified. Only convective structures with an area greater than 32 km2 are selected. Then, geometric characteristics (area, perimeter, orientation and dimensions of the ellipse), and rainfall statistics (maximum, mean, minimum, range, standard deviation, and sum) of these structures are obtained and stored in a database. Finally, descriptive statistics for selected characteristics are calculated and statistical distributions are fitted to the observed frequency distributions. Statistical analyses reveal that the Generalized Pareto distribution for the area and the Generalized Extreme Value distribution for the perimeter, dimensions, orientation and mean areal precipitation are the statistical distributions that best fit the observed ones of these parameters. The statistical descriptors and the probability distribution functions obtained are of direct use as an input in spatial rainfall generators.

Highlights

  • Hydrologists need to generate rainfall synthetic events for many purposes as water resource management and flood modelling, required to obtain maxima flood extensions and for a correct design of infrastructures.Today hydrometeorologists have two main tools to estimate rainfall; rain gauge and weather radar data, both with their strengths and weakness

  • The objective of this paper is to provide statistical descriptors and distribution functions for convective structure characteristics of precipitation systems producing floods in Catalonia (NE Spain)

  • Descriptive statistics for selected characteristics are calculated and statistical distributions are fitted to the observed frequency distributions

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Summary

Introduction

Today hydrometeorologists have two main tools to estimate rainfall; rain gauge and weather radar data, both with their strengths and weakness. Weather radar is the better option when the spatial variability gets importance, for example in little basins or in regions where convection is important. The problem of using radar data is that it is an indirect measure of rainfall, giving worse results of rainfall depths in a given location than rain gauge data (Krajewski and Smith, 2002). In this way, many studies have been realized in order to minimize radar errors (Chumchean et al, 2006; Morin and Gabella, 2007; among others)

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