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Integration and calibration of non-dispersive infrared (NDIR) CO<sub>2</sub> low-cost sensors and their operation in a sensor network covering Switzerland
Müller, M., Graf, P., Meyer, J., Pentina, A., Brunner, D., Perez-Cruz, F., … Emmenegger, L. (2020). Integration and calibration of non-dispersive infrared (NDIR) CO2 low-cost sensors and their operation in a sensor network covering Switzerland. Atmospheric Measurement Techniques, 13(7), 3815-3834. https://doi.org/10.5194/amt-13-3815-2020
Toward a unified terminology of processing levels for low-cost air-quality sensors
Schneider, P., Bartonova, A., Castell, N., Dauge, F. R., Gerboles, M., Hagler, G. S. W., … Williams, R. W. (2019). Toward a unified terminology of processing levels for low-cost air-quality sensors. Environmental Science and Technology, 53(15), 8485-8487. https://doi.org/10.1021/acs.est.9b03950
Performance of NO, NO<sub>2</sub> low cost sensors and three calibration approaches within a real world application
Bigi, A., Mueller, M., Grange, S. K., Ghermandi, G., & Hueglin, C. (2018). Performance of NO, NO2 low cost sensors and three calibration approaches within a real world application. Atmospheric Measurement Techniques, 11, 3717-3735. https://doi.org/10.5194/amt-11-3717-2018
Mid-IR spectrometer for mobile, real-time urban NO<sub>2</sub> measurements
Morten Hundt, P., Müller, M., Mangold, M., Tuzson, B., Scheidegger, P., Looser, H., … Emmenegger, L. (2018). Mid-IR spectrometer for mobile, real-time urban NO2 measurements. Atmospheric Measurement Techniques, 11(5), 2669-2681. https://doi.org/10.5194/amt-11-2669-2018
Design of an ozone and nitrogen dioxide sensor unit and its long-term operation within a sensor network in the city of Zurich
Mueller, M., Meyer, J., & Hueglin, C. (2017). Design of an ozone and nitrogen dioxide sensor unit and its long-term operation within a sensor network in the city of Zurich. Atmospheric Measurement Techniques, 10(10), 3783-3799. https://doi.org/10.5194/amt-10-3783-2017
Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network
Mueller, M. D., Hasenfratz, D., Saukh, O., Fierz, M., & Hueglin, C. (2016). Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network. Atmospheric Environment, 126, 171-181. https://doi.org/10.1016/j.atmosenv.2015.11.033
Two-week NO<SUB>2</SUB> maps for the City of Zurich, Switzerland, derived by statistical modelling utilizing data from a routine passive diffusion sampler network
Mueller, M. D., Wagner, M., Barmpadimos, I., & Hueglin, C. (2015). Two-week NO2 maps for the City of Zurich, Switzerland, derived by statistical modelling utilizing data from a routine passive diffusion sampler network. Atmospheric Environment, 106, 1-10. https://doi.org/10.1016/j.atmosenv.2015.01.049