2010
DOI: 10.1007/s10584-010-9992-5
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A high-quality monthly total cloud amount dataset for Australia

Abstract: A high-quality monthly total cloud amount dataset for 165 stations has been developed for monitoring and assessing long-term trends in cloud cover over Australia. The dataset is based on visual 9 a.m. and 3 p.m. observations of total cloud amount, with most records starting around 1957. The quality control process involved examination of historical station metadata, together with an objective statistical test comparing candidate and reference cloud series. Individual cloud series were also compared against rai… Show more

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Cited by 32 publications
(26 citation statements)
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“…Overall, the trends in the updated homogenous island influenced by increased rainfall (Smith 2005) and changes in cloud cover (Jovanovic et al 2011).…”
Section: Resultsmentioning
confidence: 99%
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“…Overall, the trends in the updated homogenous island influenced by increased rainfall (Smith 2005) and changes in cloud cover (Jovanovic et al 2011).…”
Section: Resultsmentioning
confidence: 99%
“…Due to the lack of station history information for several countries, some inhomogeneities were firstly identified through visual inspection then adjusted if RHtestsV3 found the potential study. In addition, the method has been extensively tested in Australia for application to isolated stations as well as a variety of data types (Jovanovic et al 2008(Jovanovic et al , 2011 providing confidence in its suitability for the current purpose. Reeves et al (2007) describe an in-depth comparison of homogeneity methods applied to climate data and conclude that the two-phase regression approach used here is 'optimal' for the considered climate series, though we note that Trewin (2013) found it to work less well for the adjustment of daily data.…”
Section: Methodsmentioning
confidence: 99%
“…for China during the 1954-2005 period (Kaiser, 2000;Xia, 2010), Tibetan Plateau during the 1961-2005 period (You et al, 2010), Italy during the 1951-1996 period (Maugeri et al, 2001), southern India during the 1952-1997 period (Biggs et al, 2007), South Africa during the 1960-2005 period (Kruger, 2007) and Poland during the 1950-2000 period (Wibig, 2008). Equally, other studies report nonsignificant trends in the TCC series, as for example for Australia during the 1957-2007 period (Jovanovic et al, 2011). Finally, a worldwide analysis from about 5400 land stations for the 1971-1996 period reveals a slight decrease of TCC in the global average series, with the largest decrease found in South America, and an increase restricted to the Arctic area (Warren et al, 2007).…”
Section: A Sanchez-lorenzo Et Al: Increasing Cloud Cover In the 20tmentioning
confidence: 97%
“…Jovanovic et al [24] developed a long-term monthly cloud amount dataset using 165 stations in Australia, but the trend analysis with this dataset was not statistically significant. However, they found a strong positive correlation of cloud amount and rainfall over all stations.…”
Section: Introductionmentioning
confidence: 99%