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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Latest update: 08 Aug 2022
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Short summary
Atmospheric particle formation, emissions, and growth process rates are significant sources of uncertainty in predicting climate change. We aim to reduce that uncertainty by using measurements from several ground-based sites across Europe. We developed an estimation technique to adapt the governing process rates so model–measurement bias decays. The estimation framework developed has potential to improve model predictions while providing insight into the underlying atmospheric particle physics.