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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MDPI AG
2021-05-01
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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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issn | 2073-4433 |
language | English |
last_indexed | 2024-03-10T11:25:55Z |
publishDate | 2021-05-01 |
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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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