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dc.contributor.authorO'Loingsigh, T
dc.contributor.authorMcTainsh, GH
dc.contributor.authorTapper, NJ
dc.contributor.authorShinkfield, P
dc.date.accessioned2011-01-19
dc.date.accessioned2017-03-01T22:02:47Z
dc.date.available2017-03-01T22:02:47Z
dc.date.issued2010
dc.date.modified2011-03-29T06:54:00Z
dc.identifier.issn1875-9637
dc.identifier.doihttp://dx.doi.org/10.1016/j.aeolia.2010.03.002
dc.identifier.urihttp://hdl.handle.net/10072/37824.1
dc.description.abstractWeather stations around the world record surface meteorological observations using the SYNOP coding system defined by the World Meteorological Organization (WMO). These codes are used for a variety of meteorological studies, along with remote sensing and modelling studies of wind erosion and dust transport. Despite the widespread use of SYNOP codes in wind erosion research and monitoring in Australia and internationally, few studies, if any, have examined in detail the manner in which the codes are recorded and archived, and how this might affect the quality of the data and the outcomes of the research. In this study we investigate how different methods of recording and archiving SYNOP codes relating to wind erosion and dust transport can under-estimate the frequency and inaccurately record the timing of wind erosion events. We examine 8 years of wind erosion data in the Lake Eyre Basin of central Australia (2000–2008) using more complete data from weather stations and compare them with the official archived dataset. On average, the number of dust days in the Lake Eyre Basin was under-estimated by 7% per year and the number of dust storm days (visibility <1 km) by 15% per year. In addition, what appears to be a clear inverse relationship between rainfall and dust activity may in some cases be an artefact of dust codes having been lost in processing and archiving. We also found that thunderstorms are responsible for more dust storms than previously thought.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoen_AU
dc.publisherElsevier
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom49
dc.relation.ispartofpageto57
dc.relation.ispartofissue1
dc.relation.ispartofjournalAeolian Research
dc.relation.ispartofvolume2
dc.rights.retentionY
dc.subject.fieldofresearchEnvironmental Sciences not elsewhere classified
dc.subject.fieldofresearchEarth Sciences
dc.subject.fieldofresearchEnvironmental Sciences
dc.subject.fieldofresearchcode059999
dc.subject.fieldofresearchcode04
dc.subject.fieldofresearchcode05
dc.titleLost in code: A critical analysis of using meteorological data for wind erosion monitoring
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codec1
gro.facultyFaculty of Science, Environment, Engineering and Technology
gro.date.issued2010
gro.hasfulltextNo Full Text
gro.griffith.authorMcTainsh, Grant H.


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