Lost in code: A critical analysis of using meteorological data for wind erosion monitoring.

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Title Lost in code: A critical analysis of using meteorological data for wind erosion monitoring.
Author O'Loingsigh, Tadhg; McTainsh, G.H.; Tapper, N. J.; Shinkfield, P.
Journal Name Aeolian Research
Year Published 2010
Place of publication United Kingdom
Publisher Elsevier
Abstract Weather 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.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1016/j.aeolia.2010.03.002
Copyright Statement Copyright 2010 Elsevier B.V. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Volume 2
Issue Number 1
Page from 49
Page to 57
ISSN 1875-9637
Date Accessioned 2011-01-31
Date Available 2011-07-12T07:52:31Z
Language en_AU
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Meteorology
URI http://hdl.handle.net/10072/38048
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1x

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