2009
DOI: 10.1029/2008jd011192
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Weekly cycle in particulate matter versus weekly cycle in precipitation over Switzerland

Abstract: [1] During the last few years the question has been raised if there is a weekly cycle in climatological variables due to anthropogenic activity. In this study, particulate matter (PM) data and precipitation data from 17 Swiss weather stations are analyzed for weekly cycles with three different methods: a nonparametric statistical test, a Fourier analysis on the time series, and a comparison of the regular 7-day week with either a 6-or 8-day week. Results show a well-pronounced and statistical significant weekl… Show more

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Cited by 48 publications
(72 citation statements)
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References 22 publications
(33 reference statements)
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“…The statistical tests done did not support statistically significant differences in CCN-sized aerosol number concentrations between individual weekdays or between work-week and week-end. This result is different previous studies using particle mass or AOT as the aerosol tracer, where weekly variation was detected even in multi-year weekday means Barmet et al, 2009).…”
Section: Discussioncontrasting
confidence: 54%
“…The statistical tests done did not support statistically significant differences in CCN-sized aerosol number concentrations between individual weekdays or between work-week and week-end. This result is different previous studies using particle mass or AOT as the aerosol tracer, where weekly variation was detected even in multi-year weekday means Barmet et al, 2009).…”
Section: Discussioncontrasting
confidence: 54%
“…On the other hand, no significant weekly differences are found in the rainfall series, which is in contradiction with the results of Bäumer and Vogel (2007). Barmet et al (2009) Quaas et al (2009) published a work trying to verify the possible WCs over a large area in Europe using, for the first time to our knowledge, two state-of-art global climate models (GCM). The different GCM simulations are compared against ground-based observations (2001-2006 period) and satellite data (2000-2008 period).…”
Section: Studies About Wcs For Asiacontrasting
confidence: 42%
“…Murphy et al, 2008), Europe (e.g. Barmet et al, 2009) and Asia (e.g. Gong et al, 2007;Choi et al, 2008a;Kim et al, 2009) suggesting lower values during weekends and higher values during workdays, which can be attributed to decreased industrial activity and traffic during weekends in urban and industrialised regions, as well as the ban on heavy-duty vehicle traffic on Sundays in some areas.…”
Section: Evidences Of Wcs In Pollution and Anthropogenic Aerosolsmentioning
confidence: 99%
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