Articles | Volume 18, issue 23
https://doi.org/10.5194/gmd-18-9805-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Enhancing volcanic eruption simulations with the WRF-Chem v4.8
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- Final revised paper (published on 09 Dec 2025)
- Preprint (discussion started on 04 Sep 2025)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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RC1: 'Comment on egusphere-2025-4124', Mingzhao Liu, 09 Oct 2025
- AC2: 'Reply on RC1', Alexander Ukhov, 20 Nov 2025
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RC2: 'Comment on egusphere-2025-4124', Anonymous Referee #2, 03 Nov 2025
- AC1: 'Reply on RC2', Alexander Ukhov, 20 Nov 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Alexander Ukhov on behalf of the Authors (20 Nov 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (21 Nov 2025) by Lars Hoffmann
RR by Anonymous Referee #2 (21 Nov 2025)
ED: Publish as is (21 Nov 2025) by Lars Hoffmann
AR by Alexander Ukhov on behalf of the Authors (21 Nov 2025)
General comments:
This paper introduces several key enhancements to the WRF-Chem v4.8 model aimed at improving the simulation of volcanic eruptions, including the implementation of wet and dry deposition for ash and sulfate, SO2 oxidation mechanisms, gravitational settling corrections, and the direct radiative effects of volcanic aerosols. The authors also developed the calculation of ash and aeresol radiation, which has the feedback effects to the meteorology. Using the 1991 Mt. Pinatubo eruption as a case study, the authors evaluate the model’s performance through both short-term and long-term experiments, demonstrating clear improvements in mass conservation and a better agreement with satellite observations, particularly when radiative feedback is activated.
Overall, the paper presents a thorough and valuable contribution to the field of volcanic plume modeling. The enhancements address important shorts in WRF-Chem’s capabilities. Here recommend minor revisions before publication.
Main comments:
1. Fig. 4 and 5 show significant improvements in aerosol and SO₂ transport when radiative feedback is included. To further strengthen the model–satellite comparison, the authors should consider applying satellite-specific Averaging Kernels to the model output. This would account for the vertical sensitivity of the satellite retrievals and enable a more rigorous and physically consistent validation.
2. Figure 5 illustrates how radiative feedback alters the spatial pattern and magnitude of the SO₂ plume. The manuscript would benefit from a more detailed explanation of the underlying physical mechanism. Specifically, how does the absorption of solar radiation by ash influencing SO₂ transport and dispersion? A brief discussion linking the radiative heating (e.g., as shown in Fig. 10) to the dynamical response (e.g., enhanced lofting or altered wind patterns) would strengthen the scientific insight of the paper.
3. Some abbreviations are not explicitly defined upon first use, such as LW/SW/PRTB/CTRL.
4. In conclusion section, it is claimed that an open-source preprocessor called PrepEmisSources is developed. However, there is no detail introduction to this tool. Please expand it for more details.
Technical corrections/suggestions:
L. 85: "fixed and error" -> "fixed an error"
L. 119: "The updated SO2 concentration(mol mol−1) is calculated":The rate coefficient k is given in units of cm^3 molecule^-1 s^-1. Please verify and ensure unit consistency throughout the calculation