1,274 research outputs found

    Estonian total ozone climatology

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    International audienceThe climatological characteristics of total ozone over Estonia based on the Total Ozone Mapping Spectrometer (TOMS) data are discussed. The mean annual cycle during 1979?2000 for the site at 58.3° N and 26.5° E is compiled. The available ground-level data interpolated before TOMS, have been used for trend detection. During the last two decades, the quasi-biennial oscillation (QBO) corrected systematic decrease of total ozone from February?April was 3 ± 2.6% per decade. Before 1980, a spring decrease was not detectable. No decreasing trend was found in either the late autumn ozone minimum or in the summer total ozone. The QBO related signal in the spring total ozone has an amplitude of ± 20 DU and phase lag of 20 months. Between 1987?1992, the lagged covariance between the Singapore wind and the studied total ozone was weak. The spring (April?May) and summer (June?August) total ozone have the best correlation (coefficient 0.7) in the yearly cycle. The correlation between the May and August total ozone is higher than the one between the other summer months. Seasonal power spectra of the total ozone variance show preferred periods with an over 95% significance level. Since 1986, during the winter/spring, the contribution period of 32 days prevails instead of the earlier dominating 26 days. The spectral densities of the periods from 4 days to 2 weeks exhibit high interannual variability

    Quasi regular concentric waves in heterogeneous lattices of coupled oscillators

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    We study the pattern formation in a lattice of coupled phase oscillators with quenched disorder. In the synchronized regime concentric waves can arise, which are induced and increase in regularity by the disorder of the system. Maximal regularity is found at the edge of the synchronization regime. The emergence of the concentric waves is related to the symmetry breaking of the interaction function. An explanation of the numerically observed phenomena is given in a one-dimensional chain of coupled phase oscillators. Scaling properties, describing the target patterns are obtained.Comment: 4 pages, 3 figures, submitted to PR

    The inverse Laplace transform as the ultimate tool for transverse mass spectra

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    New high statistics data from the second generation of ultrarelativistic heavy-ion experiments open up new possibilities in terms of data analysis. To fully utilize the potential we propose to analyze the mm_\perp-spectra of hadrons using the inverse Laplace transform. The problems with its inherent ill-definedness can be overcome and several applications in other fields like biology, chemistry or optics have already shown its feasability. Moreover, the method also promises to deliver upper bounds on the total information content of the spectra, which is of big importance for all other means of analysis. Here we compute several Laplace inversions from different thermal scenarios, both analytically and numerically, to test the efficiency of the method. Especially the case of a two component structure, related to a possible first order phase transition to a quark gluon plasma, is closer investigated and it is shown that at least a signal to noise ratio of 10410^4 is necessary to resolve two individual components.Comment: 13 pages (PostScript, including figures), BNL-NTHES

    “I saw a fox in Melbourne CBD”: Urban travel behaviour changes during COVID-19 and beyond

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    An unexpected outcome of the COVID-19 pandemic were the dramatic travel behaviour changes experienced in cities worldwide, which, could result in more sustainable transport systems. Consequently, there is a need for longer-term post-pandemic travel behaviour change research. This study aimed to investigate city-level travel behaviour changes during and post-pandemic. To our knowledge, this is the first qualitative study exploring the permanency of COVID-19 travel behaviour changes. This study involved a literature review of 41 studies and in-depth interviews with 19 transport stakeholders in metropolitan Melbourne, Australia. Melbourne is a valuable study area, given that it was the most locked-down city globally. Overall, the results of this study suggest that post-pandemic travel behaviour will be different to pre-pandemic, with working from home (WFH) an integral influence on travel behaviour. In addition, several overarching travel behaviour changes were identified: WFH significantly increased during the pandemic and is anticipated to continue post-pandemic. Both public transport and private motor vehicle (PMV) trips decreased during lockdowns; while PMV rebounded quickly, public transport remained low, and a long recovery is expected. Active transport (cycling and walking) increased during the pandemic and appear likely to endure. Finally, while shared travel modes have received less attention, modal variance is expected in the future. This study has made several key contributions. It consolidated our understanding of the wide range of urban travel behaviour changes experienced during and anticipated post-COVID-19. Secondly, it synthesised current knowledge of recent post-COVID-19 travel behaviour change research. Thirdly, this study demonstrated that complementary qualitative studies strengthen transport research by unearthing new insight into the reasons underpinning travel behaviours, which could be vital for developing solutions. Furthermore, this study identified critical future research topics. Given that most countries are learning to live with the virus, it is an opportune time to investigate whether these intended travel behaviours have endured
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