Articles | Volume 11, issue 12
https://doi.org/10.5194/gmd-11-5135-2018
https://doi.org/10.5194/gmd-11-5135-2018
Development and technical paper
 | 
14 Dec 2018
Development and technical paper |  | 14 Dec 2018

Weak-constraint inverse modeling using HYSPLIT-4 Lagrangian dispersion model and Cross-Appalachian Tracer Experiment (CAPTEX) observations – effect of including model uncertainties on source term estimation

Tianfeng Chai, Ariel Stein, and Fong Ngan

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Tianfeng Chai on behalf of the Authors (05 Oct 2018)
ED: Referee Nomination & Report Request started (19 Oct 2018) by Slimane Bekki
RR by Anonymous Referee #2 (31 Oct 2018)
RR by Anonymous Referee #1 (19 Nov 2018)
ED: Publish as is (30 Nov 2018) by Slimane Bekki
AR by Tianfeng Chai on behalf of the Authors (03 Dec 2018)  Manuscript 
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Short summary
While model predictions depend on release parameters, model uncertainties in inverse modeling should also vary with the source terms. In this paper, model uncertainties that will change with the source terms are introduced in a weak-constraint inverse modeling system. Tests using HYSPLIT model and CAPTEX observations show that adding such model uncertainty terms improves release rate estimates. A cost function normalization scheme introduced to avoid spurious solutions proves to be effective.