10 research outputs found

    Study of relationship between daily maxima in ozone and temperature in an urban site in India

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    he relationship between surface-level observations of daily maxima in ozone (O3max) volume mixing ratio and ambient air temperature (Tmax) has been studied at an urban site, i.e. Pune (18.4°N, 73.8°E), India during 2003-04. The mixing ratios of O3max were found to be highest during winter to pre-monsoon period and lowest in the monsoon season. The dependence of O3max levels on Tmax has been quantified using the linear regression fit for the different seasons. However, except for the monsoon season, reasonably good correlations between O3max and Tmax were noticed. The correlation between daily O3max concentration and minimum NOx (NOxmin) concentration was also studied to assess the importance of photochemical mechanism mainly reduction in the loss due to titration. Overall, the strong dependencies of O3max on Tmax and NOxmin signify the role of both meteorological and photochemical processes during most months of a year. The positive slopes of ΔO3max/ΔTmax and ΔO3max/ΔNOxmin clearly indicate the role of significant production and accumulation of O3 under high temperature and low NOx conditions respectively, during winter and premonsoon seasons. The statistical analysis of O3 in relation with the key meteorological and chemical parameters is important to understand the sensitivity of secondary pollutants on various controlling factors

    Global organic and inorganic aerosol hygroscopicity and its effect on radiative forcing

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    The climate effects of atmospheric aerosol particles serving as cloud condensation nuclei (CCN) depend on chemical composition and hygroscopicity, which are highly variable on spatial and temporal scales. Here we present global CCN measurements, covering diverse environments from pristine to highly polluted conditions. We show that the effective aerosol hygroscopicity, Îș , can be derived accurately from the fine aerosol mass fractions of organic particulate matter ( Ï” org ) and inorganic ions ( Ï” inorg ) through a linear combination, Îș  =  Ï” org  ⋅  Îș org  +  Ï” inorg  ⋅  Îș inorg . In spite of the chemical complexity of organic matter, its hygroscopicity is well captured and represented by a global average value of Îș org  = 0.12 ± 0.02 with Îș inorg  = 0.63 ± 0.01 as the corresponding value for inorganic ions. By showing that the sensitivity of global climate forcing to changes in Îș org and Îș inorg is small, we constrain a critically important aspect of global climate modelling. The effective hygroscopicity of organic matter and inorganic ions in atmospheric aerosols can be efficiently and accurately parameterized by global average values to constrain a critically important aspect in climate and Earth system model
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