M. Pandolfi

First name
M.
Last name
Pandolfi
Savadkoohi, M., Pandolfi, M., Reche, C., Niemi, J. V., Mooibroek, D., Titos, G., et al. (2023). The variability of mass concentrations and source apportionment analysis of equivalent black carbon across urban Europe. Environment International, 178, 108081+. http://doi.org/10.1016/j.envint.2023.108081
View
Rose, C., Coen, C., Andrews, E., Lin, Y., Bossert, I., Myhre, L., et al. (2021). Seasonality of the particle number concentration and size distribution: A global analysis retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories. Atmospheric Chemistry And Physics, 21(22), 17185-17223, . http://doi.org/10.5194/acp-21-17185-2021
View
Evangeliou, N., Platt, S. M., Eckhardt, S., Myhre, L., Laj, P., Alados-Arboledas, L., et al. (2021). Changes in black carbon emissions over Europe due to COVID-19 lockdowns. Atmospheric Chemistry And Physics, 21, 2675-2692. http://doi.org/10.5194/acp-21-2675-2021
View
Laj, P., Bigi, A., Rose, C., Andrews, E., Myhre, L., Coen, C., et al. (2020). A global analysis of climate-relevant aerosol properties retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories. Atmospheric Measurement Techniques, 13, 4353-4392. http://doi.org/10.5194/amt-13-4353-2020
View
Coen, C., Andrews, E., Lastuey, A., Arsov, P., Backman, J., Brem, B. T., et al. (2020). Multidecadal trend analysis of in situ aerosol radiative properties around the world. Atmospheric Chemistry And Physics, 20, 8867-8908. http://doi.org/10.5194/acp-20-8867-2020
View
Chauvigne, A., Aliaga, D., Sellegri, K., Montoux, N., Krejci, R., Mocnik, G., et al. (2019). Biomass burning and urban emission impacts in the Andes Cordillera region based on in situ measurements from the Chacaltaya observatory, Bolivia (5240a.s.l.). Atmospheric Chemistry And Physics. http://doi.org/10.5194/acp-19-14805-2019
View
Belis, C. A., Pernigotti, D., Pirovano, G., Favez, O., Jaffrezo, J. L., Kuenen, J., et al. (2020). Evaluation of receptor and chemical transport models for PM10 source apportionment. Atmospheric Environment: X. http://doi.org/10.1016/j.aeaoa.2019.100053
View
Coen, M. C., Andrews, E., Aliaga, D., Andrade, M., Angelov, H., Bukowiecki, N., et al. (2018). Identification of topographic features influencing aerosol observations at high altitude stations. Atmospheric Chemistry And Physics. http://doi.org/10.5194/acp-18-12289-2018
View
Pandolfi, M., Alados-Arboledas, L., Alastuey, A., Andrade, M., Angelov, C., Artíñano, B., et al. (2018). A European aerosol phenomenology - 6: Scattering properties of atmospheric aerosol particles from 28 ACTRIS sites. Atmospheric Chemistry And Physics. http://doi.org/10.5194/acp-18-7877-2018
View
Cesari, D., Amato, F., Pandolfi, M., Alastuey, A., Querol, X., & Contini, D. (2016). An inter-comparison of PM10 source apportionment using PCA and PMF receptor models in three European sites. Environmental Science And Pollution Research. http://doi.org/10.1007/s11356-016-6599-z
View