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.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Dana McGuffin on behalf of the Authors (14 Jan 2021)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Jan 2021) by Christina McCluskey
RR by Anonymous Referee #2 (27 Jan 2021)
RR by Anonymous Referee #1 (30 Jan 2021)
RR by Anonymous Referee #3 (01 Feb 2021)
ED: Publish subject to technical corrections (10 Feb 2021) by Christina McCluskey
Download
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.