Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 10, 2365-2377, 2017
https://doi.org/10.5194/gmd-10-2365-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
27 Jun 2017
STRAPS v1.0: evaluating a methodology for predicting electron impact ionisation mass spectra for the aerosol mass spectrometer
David O. Topping et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Promising concept.', Anonymous Referee #1, 17 Feb 2017 Printer-friendly Version 
AC1: 'Author response', David Topping, 11 Apr 2017 Printer-friendly Version Supplement 
 
RC2: 'Referee Review: Topping et al., 2017', Anonymous Referee #2, 18 Feb 2017 Printer-friendly Version 
AC2: 'Author response', David Topping, 11 Apr 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Svenja Lange on behalf of the Authors (18 Apr 2017)  Author's response  Manuscript
ED: Publish as is (05 May 2017) by Alexander Archibald  
CC BY 4.0
Publications Copernicus
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Short summary
Our ability to model the chemical and thermodynamic processes that lead to secondary organic aerosol (SOA) formation is thought to be hampered by the complexity of the system. In this proof of concept study, the ability to train supervised methods to predict electron impact ionisation (EI) mass spectra for the AMS is evaluated to facilitate improved model evaluation. The study demonstrates the use of a methodology that would be improved with more training data and data from simple mixed systems.
Our ability to model the chemical and thermodynamic processes that lead to secondary organic...
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