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Identification of spatial and temporal patterns of Australian daily rainfall under a changing climate

dc.contributor.authorXu, Tingbaoen
dc.contributor.authorCroke, Barryen
dc.contributor.authorHutchinson, Michael F.en
dc.date.accessioned2025-12-31T21:42:43Z
dc.date.available2025-12-31T21:42:43Z
dc.date.issued2014en
dc.description.abstractRainfall is a highly variable component of the climate system. There are substantial spatial and temporal variations in the frequency and spatial distribution of rainfall events. Little attention has been paid to the slow but ongoing variations of the spatial patterns of daily rainfall, especially over broad spatial scales. A better understanding of these variations and their long term trends would reduce uncertainty in environmental and natural resource models and improve assessment of ongoing climate change. This study examined the spatial cross-correlations of daily rainfall at 2322 high quality long run rainfall stations across Australia from 1910 to 2011, and assessed their spatial and temporal patterns. It was found that: 1) There has been a long term continuous strengthening in the spatial cross-correlation of daily rainfall across Australia over this period. Most of this strengthening has occurred since the 1970s; 2) The strengthening is more consistent in winter and spring but has occurred in all four seasons; 3) Southeastern Australia has had the most stable strengthening pattern over a broader spatial scale; 4) The strengthening suggests an increase in the broad scale coherence of daily rainfall, such as found in frontal rainfall; 5) These findings are consistent with recent reported changes in synoptic scale climatic driving processes, especially the increasing frequency of frontal systems and the decreasing frequency of storm events in the Australian region. An increase in the broad scale coherence of rainfall is likely to improve the accuracy of daily rainfall interpolation and influence dependent hydrological modelling. Interactions of data quality with the derived correlation patterns are also discussed.en
dc.description.statusPeer-revieweden
dc.format.extent8en
dc.identifier.scopus84911933144en
dc.identifier.urihttps://hdl.handle.net/1885/733798408
dc.language.isoenen
dc.relation.ispartofseries7th International Congress on Environmental Modelling and Software, iEMSs 2014en
dc.subjectClimate changeen
dc.subjectDaily rainfallen
dc.subjectFrontsen
dc.subjectRainfall temporal and spatial patternsen
dc.subjectSpatial cross correlationen
dc.titleIdentification of spatial and temporal patterns of Australian daily rainfall under a changing climateen
dc.typeConference paperen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage978en
local.bibliographicCitation.startpage971en
local.contributor.affiliationXu, Tingbao; Fenner School of Environment & Society Special Projects, Fenner School of Environment & Society, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationCroke, Barry; Mathematics Programs, Mathematical Sciences Institute, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationHutchinson, Michael F.; Fenner School of Environment & Society Special Projects, Fenner School of Environment & Society, ANU College of Systems and Society, The Australian National Universityen
local.identifier.ariespublicationa383154xPUB275en
local.identifier.pure10ae83d2-c3d3-49d1-89a1-cef9f5e49e1een
local.identifier.urlhttps://www.scopus.com/pages/publications/84911933144en
local.type.statusPublisheden

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