Browsing Asiantuntijatarkastetut julkaisut - Refereed publications by Author "Asmi, Eija"

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  • Sebastian, Mathew; Kompalli, Sobhan Kumar; Kumar, Vasudevan Anil; Jose, Sandhya; Babu, S. Suresh; Pandithurai, Govindan; Singh, Sachchidanand; Hooda, Rakesh K.; Soni, Vijay K.; Pierce, Jeffrey R.; Vakkari, Ville; Asmi, Eija; Westervelt, Daniel M.; Hyvärinen, Antti-Pekka; Kanawade, Vijay P. (Copernicus Publ., 2022)
    Atmospheric chemistry and physics
    Atmospheric new particle formation (NPF) is a crucial process driving aerosol number concentrations in the atmosphere; it can significantly impact the evolution of atmospheric aerosol and cloud processes. This study analyses at least 1 year of asynchronous particle number size distributions from six different locations in India. We also analyze the frequency of NPF and its contribution to cloud condensation nuclei (CCN) concentrations. We found that the NPF frequency has a considerable seasonal variability. At the measurement sites analyzed in this study, NPF frequently occurs in March–May (pre-monsoon, about 21 % of the days) and is the least common in October–November (post-monsoon, about 7 % of the days). Considering the NPF events in all locations, the particle formation rate (JSDS) varied by more than 2 orders of magnitude (0.001–0.6 cm−3s−1) and the growth rate between the smallest detectable size and 25 nm (GRSDS-25 nm) by about 3 orders of magnitude (0.2–17.2 nm h−1). We found that JSDS was higher by nearly 1 order of magnitude during NPF events in urban areas than mountain sites. GRSDS did not show a systematic difference. Our results showed that NPF events could significantly modulate the shape of particle number size distributions and CCN concentrations in India. The contribution of a given NPF event to CCN concentrations was the highest in urban locations (4.3 × 103cm−3 per event and 1.2 × 103cm−3 per event for 50 and 100 nm, respectively) as compared to mountain background sites (2.7 × 103cm−3 per event and 1.0 × 103cm−3 per event, respectively). We emphasize that the physical and chemical pathways responsible for NPF and factors that control its contribution to CCN production require in situ field observations using recent advances in aerosol and its precursor gaseous measurement techniques.
  • Ström, Johan; Svensson, Jonas; Honkanen, Henri; Asmi, Eija; Dkhar, Nathaniel B.; Tayal, Shresth; Sharma, Ved P.; Hooda, Rakesh; Meinander, Outi; Leppäranta, Matti; Jacobi, Hans-Werner; Lihavainen, Heikki; Hyvärinen, Antti (BioOne, 2022)
    Snow darkening by deposited light-absorbing particles (LAP) accelerates snowmelt and shifts the snow meltout date (MOD). Here, we present a simple approach to estimate the snow albedo variability due to LAP deposition and test this method with data for 2 seasons (February–May 2016 and December 2016–June 2017) at a high-altitude valley site in the Central Himalayas, India. We derive a parameterization for the snow albedo that only depends on the daily observations of average ambient temperature and change in snow depth, as well as an assumed average concentration of LAP in snow precipitation. Linear regression between observed and parameterized albedo for the base case assuming an equivalent elemental carbon concentration ½ECeq of 100 ng g–1 in snow precipitation yields a slope of 0.75 and a Pearson correlation coefficient r 2 of 0.76. However, comparing the integrated amount of shortwave radiation absorbed during the winter season using observed albedo versus base case albedo resulted in rather small differences of 11% and 4% at the end of Seasons 1 and 2, respectively.The enhanced energy absorbed due to LAP at the end of the 2 seasons for the base case scenario (assuming an ½ECeq of 100 ng g–1 in snow precipitation) was 40% and 36% compared to pristine snow. A numerical evaluation with different assumed ½ECeq in snow precipitation suggests that the relative sensitivity of snow albedo to changes in ½ECeq remains rather constant for the 2 seasons. Doubling ½ECeq augments the absorption by less than 20%, highlighting that the impact on a MOD is small even for a doubling of average LAP in snow precipitation.