Spatial Characteristics of Precipitation in the Greater Sydney Metropolitan Area as Revealed by the Daily Precipitation Concentration Index

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. T...

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Main Authors: Kevin K. W. Cheung, Aliakbar A. Rasuly, Fei Ji, Lisa T.-C. Chang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/12/5/627
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author Kevin K. W. Cheung
Aliakbar A. Rasuly
Fei Ji
Lisa T.-C. Chang
author_facet Kevin K. W. Cheung
Aliakbar A. Rasuly
Fei Ji
Lisa T.-C. Chang
author_sort Kevin K. W. Cheung
collection DOAJ
description 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.
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spelling doaj.art-7bca130874d6435c9a9ab846f243d9f72023-11-21T19:39:26ZengMDPI AGAtmosphere2073-44332021-05-0112562710.3390/atmos12050627Spatial Characteristics of Precipitation in the Greater Sydney Metropolitan Area as Revealed by the Daily Precipitation Concentration IndexKevin K. W. Cheung0Aliakbar A. Rasuly1Fei Ji2Lisa T.-C. Chang3Climate and Atmospheric Science, NSW Department of Planning, Industry and Environment, Lidcombe, NSW 2141, AustraliaDepartment of Earth and Environmental Sciences, Macquarie University, North Ryde, NSW 2109, AustraliaClimate and Atmospheric Science, NSW Department of Planning, Industry and Environment, Lidcombe, NSW 2141, AustraliaClimate and Atmospheric Science, NSW Department of Planning, Industry and Environment, Lidcombe, NSW 2141, AustraliaIn 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.https://www.mdpi.com/2073-4433/12/5/627precipitation concentration indexextreme rainfallspatial inter-dependency
spellingShingle Kevin K. W. Cheung
Aliakbar A. Rasuly
Fei Ji
Lisa T.-C. Chang
Spatial Characteristics of Precipitation in the Greater Sydney Metropolitan Area as Revealed by the Daily Precipitation Concentration Index
Atmosphere
precipitation concentration index
extreme rainfall
spatial inter-dependency
title Spatial Characteristics of Precipitation in the Greater Sydney Metropolitan Area as Revealed by the Daily Precipitation Concentration Index
title_full Spatial Characteristics of Precipitation in the Greater Sydney Metropolitan Area as Revealed by the Daily Precipitation Concentration Index
title_fullStr Spatial Characteristics of Precipitation in the Greater Sydney Metropolitan Area as Revealed by the Daily Precipitation Concentration Index
title_full_unstemmed Spatial Characteristics of Precipitation in the Greater Sydney Metropolitan Area as Revealed by the Daily Precipitation Concentration Index
title_short Spatial Characteristics of Precipitation in the Greater Sydney Metropolitan Area as Revealed by the Daily Precipitation Concentration Index
title_sort spatial characteristics of precipitation in the greater sydney metropolitan area as revealed by the daily precipitation concentration index
topic precipitation concentration index
extreme rainfall
spatial inter-dependency
url https://www.mdpi.com/2073-4433/12/5/627
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