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A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data
Canonaco, F., Tobler, A., Chen, G., Sosedova, Y., Slowik, J. G., Bozzetti, C., … Prévôt, A. S. H. (2021). A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data. Atmospheric Measurement Techniques, 14(2), 923-943. https://doi.org/10.5194/amt-14-923-2021
Time-dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling positive matrix factorisation (PMF) window
Chen, G., Sosedova, Y., Canonaco, F., Fröhlich, R., Tobler, A., Vlachou, A., … Prévôt, A. S. H. (2021). Time-dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling positive matrix factorisation (PMF) window. Atmospheric Chemistry and Physics, 21(19), 15081-15101. https://doi.org/10.5194/acp-21-15081-2021
Real-time characterization and source apportionment of fine particulate matter in the Delhi megacity area during late winter
Lalchandani, V., Kumar, V., Tobler, A., Thamban, N. M., Mishra, S., Slowik, J. G., … Tripathi, S. N. (2021). Real-time characterization and source apportionment of fine particulate matter in the Delhi megacity area during late winter. Science of the Total Environment, 770, 145324 (17 pp.). https://doi.org/10.1016/j.scitotenv.2021.145324
Highly time-resolved measurements of element concentrations in PM<sub>10</sub> and PM<sub>2.5</sub>: comparison of Delhi, Beijing, London, and Krakow
Rai, P., Slowik, J. G., Furger, M., El Haddad, I., Visser, S., Tong, Y., … Prévôt, A. S. H. (2021). Highly time-resolved measurements of element concentrations in PM10 and PM2.5: comparison of Delhi, Beijing, London, and Krakow. Atmospheric Chemistry and Physics, 21(2), 717-730. https://doi.org/10.5194/acp-21-717-2021
Characterization of non-refractory (NR) PM<sub>1</sub> and source apportionment of organic aerosol in Kraków, Poland
Tobler, A. K., Skiba, A., Canonaco, F., Močnik, G., Rai, P., Chen, G., … Prevot, A. S. H. (2021). Characterization of non-refractory (NR) PM1 and source apportionment of organic aerosol in Kraków, Poland. Atmospheric Chemistry and Physics, 21(19), 14893-14906. https://doi.org/10.5194/acp-21-14893-2021
Chemical characterization of PM&lt;sub&gt;2.5&lt;/sub&gt; and source apportionment of organic aerosol in New Delhi, India
Tobler, A., Bhattu, D., Canonaco, F., Lalchandani, V., Shukla, A., Thamban, N. M., … Prévôt, A. S. H. (2020). Chemical characterization of PM2.5 and source apportionment of organic aerosol in New Delhi, India. Science of the Total Environment, 745, 140924 (12 pp.). https://doi.org/10.1016/j.scitotenv.2020.140924
Improved chloride quantification in quadrupole aerosol chemical speciation monitors (Q-ACSMs)
Tobler, A. K., Skiba, A., Wang, D. S., Croteau, P., Styszko, K., Nęcki, J., … Prévôt, A. S. H. (2020). Improved chloride quantification in quadrupole aerosol chemical speciation monitors (Q-ACSMs). Atmospheric Measurement Techniques, 13(10), 5293-5301. https://doi.org/10.5194/amt-13-5293-2020
Urban source term estimation for mercury using a boundary-layer budget method
Denzler, B., Bogdal, C., Kern, C., Tobler, A., Huo, J., & Hungerbühler, K. (2019). Urban source term estimation for mercury using a boundary-layer budget method. Atmospheric Chemistry and Physics, 19(6), 3821-3831. https://doi.org/10.5194/acp-19-3821-2019
The second ACTRIS inter-comparison (2016) for Aerosol Chemical Speciation Monitors (ACSM): calibration protocols and instrument performance evaluations
Freney, E., Zhang, Y., Croteau, P., Amodeo, T., Williams, L., Truong, F., … Favez, O. (2019). The second ACTRIS inter-comparison (2016) for Aerosol Chemical Speciation Monitors (ACSM): calibration protocols and instrument performance evaluations. Aerosol Science and Technology, 53(7), 830-842. https://doi.org/10.1080/02786826.2019.1608901
Development of a versatile source apportionment analysis based on positive matrix factorization: a case study of the seasonal variation of organic aerosol sources in Estonia
Vlachou, A., Tobler, A., Lamkaddam, H., Canonaco, F., Daellenbach, K. R., Jaffrezo, J. L., … Prévôt, A. S. H. (2019). Development of a versatile source apportionment analysis based on positive matrix factorization: a case study of the seasonal variation of organic aerosol sources in Estonia. Atmospheric Chemistry and Physics, 19(11), 7279-7295. https://doi.org/10.5194/acp-19-7279-2019