Abstract

In this study; the spatial distribution of the Daily Precipitation Concentration Index (DPCI) has been analyzed inside the Greater Sydney Metropolitan Area (GSMA). Accordingly, the rainfall database from the Australian Bureau of Meteorology archive was utilized after comprehensive quality control. The compiled data contains a set of 41 rainfall stations indicating consistent daily precipitation series from 1950 to 2015. In the analysis of the DPCI across GSMA the techniques of Moran’s Spatial Autocorrelation has been applied. In addition, a cross-covariance method was applied to assess the spatial interdependency between vector-based datasets after performing an Ordinary Kriging interpolation. The results identify four well-recognized intense rainfall development zones: the south coast and topographic areas of the Illawarra district characterized by Tasman Sea coastal regions with DPCI values ranging from 0.61 to 0.63, the western highlands of the Blue Mountains, with values between 0.60 and 0.62, the inland regions, with lowest rainfall concentrations between 0.55 and 0.59, and lastly the districts located inside the GSMA with DPCI ranging 0.60 to 0.61. Such spatial distribution has revealed the rainstorm and severe thunderstorm activity in the area. This study applies the present models to identify the nature and mechanisms underlying the distribution of torrential rains over space within the metropolis of Sydney, and to monitor any changes in the spatial pattern under the warming climate.

Highlights

  • The awareness of the importance of the spatial and temporal distribution of precipitation is important from a meteorological viewpoint, and for its importance in different fields such as agriculture, hydrology, water resources and flood control

  • Inside of the Sydney Metropolitan area, daily precipitation is one of the factors in the processes of creating flash floods, and differences in the spatial distribution of precipitation can lead to dissimilar precipitation regimes and various climatic conditions [38]

  • One lies from the east to the west and the second is detectable from south to north, the latter characterized by the Tasman Sea coastal areas

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Summary

Introduction

The awareness of the importance of the spatial and temporal distribution of precipitation is important from a meteorological viewpoint, and for its importance in different fields such as agriculture, hydrology, water resources and flood control. A CI analysis makes it possible to characterize different spatial scales, which is of interest due to its effects on geo−hydrological processes and the analysis of erosion and soil loss [3] Applying this type of analysis, interest is focused on climate and on the effect of heavy rainfall on other areas of the environment and society [4,5]. Daily analysis and prediction of the intensity of precipitation would help in in water resource planning and identifying areas of high and low flash flooding potential.

Climatology of the Study Area
Data and Method
Spatial Correlation
Spatial Distribution of DPCI
Spatial
Summary
Discussion
Cross-covariance constant in in thethe conFigure
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