Articles | Volume 14, issue 3
Geosci. Model Dev., 14, 1821–1839, 2021
https://doi.org/10.5194/gmd-14-1821-2021
Geosci. Model Dev., 14, 1821–1839, 2021
https://doi.org/10.5194/gmd-14-1821-2021

Development and technical paper 01 Apr 2021

Development and technical paper | 01 Apr 2021

Novel estimation of aerosol processes with particle size distribution measurements: a case study with the TOMAS algorithm v1.0.0

Dana L. McGuffin et al.

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Cited articles

Aalto, P., Hämeri, K., Becker, E., Weber, R., Salm, J., Mäkelä, J. M., Hoell, C., O'dowd, C. D., Hansson, H.-C., Väkevä, M., Koponen, I. K., Buzorius, G., and Kulmala, M.: Physical characterization of aerosol particles during nucleation events, Tellus B, 53, 344–358, https://doi.org/10.3402/tellusb.v53i4.17127, 2001. 
Aalto, P. and Kulmala, M.: Finland – Hyytiälä (FI0050R) – dmps – particle_number_size_distribution – aerosol [data set], available at: http://ebas.nilu.no/DataSets.aspx?stations=FI0050R&InstrumentTypes=dmps&components=particle_number_size_distribution&fromDate=1970-01-01&toDate=2021-12-31 (last access: 24 March 2021), 2012. 
Adams, P. J. and Seinfeld, J. H.: Predicting global aerosol size distributions in general circulation models, J. Geophys. Res.-Atmos., 107, AAC 4-1–AAC 4-23, https://doi.org/10.1029/2001JD001010, 2002. 
Adams, P. J., Donahue, N. M., and Pandis, S. N.: Atmospheric nanoparticles and climate change, AIChE J., 59, 4006–4019, https://doi.org/10.1002/aic.14242, 2013.