Articles | Volume 26, issue 1
https://doi.org/10.5194/acp-26-135-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Strong primary contribution to brown carbon light absorption in Tibet and urban areas: insights based on in situ measurements
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- Final revised paper (published on 06 Jan 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 06 Aug 2025)
- Supplement to the preprint
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-2025-2974', Anonymous Referee #2, 16 Sep 2025
- AC2: 'Comment on egusphere-2025-2974', Weiwei Hu, 22 Nov 2025
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RC2: 'Comment on egusphere-2025-2974', Anonymous Referee #3, 30 Sep 2025
- AC2: 'Comment on egusphere-2025-2974', Weiwei Hu, 22 Nov 2025
- AC1: 'Comment on egusphere-2025-2974', Weiwei Hu, 22 Nov 2025
- AC2: 'Comment on egusphere-2025-2974', Weiwei Hu, 22 Nov 2025
- AC3: 'Comment on egusphere-2025-2974', Weiwei Hu, 22 Nov 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Weiwei Hu on behalf of the Authors (22 Nov 2025)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (26 Nov 2025) by Dantong Liu
AR by Weiwei Hu on behalf of the Authors (28 Nov 2025)
Manuscript
General Comments
This manuscript presents concurrent field campaigns in the Qinghai–Tibet Plateau (Yangbajing) and urban Guangzhou during July 2022, combining multi-wavelength Aethalometer and aerosol mass spectrometer (AMS) measurements to quantify brown carbon (BrC) optical properties, identify their sources, and estimate radiative forcing. The authors apply positive matrix factorization (PMF) for source apportionment, multiple linear regression (MLR) to derive source-specific mass absorption cross-sections (MAC), and a simple forcing efficiency (SFE) approach to estimate BrC radiative effects. The study is well-motivated, addressing an important gap in quantifying BrC MAC specific for individual OA factors, in a high-altitude background environment, while providing a direct urban–background comparison under simultaneous meteorological conditions.
The dataset is valuable, especially for the Tibetan site where few high-time-resolution BrC source apportionments exist. The methodology is robust and well-documented, and the analyses are generally clear. The findings are important for both modeling and policy-relevant emission reduction strategies. The observation that fossil fuel–related BrC has comparable MAC to biomass burning–related BrC in these environments is noteworthy.
However, several aspects could be clarified or expanded to strengthen the manuscript’s contribution. I recommend publication after minor revisions addressing the points below.
Major Issues
The introduction should more clearly articulate the broader relevance of the central QTP measurements—particularly for regional climate forcing and glacier melt—and distinguish them from prior work on the QTP margins.
Line 25: the authors state that BrC contribute to 12-50% of the total positive radiative forcing. It would improve clarity if they would specify whether it is the total human-induced radiative forcing (which is generally dominated by greenhouse gases), or the positive radiative forcing related just to atmospheric particles (I suspect this is what they meant).
Line 31: Clarify “non-fossil biomass burning,” which is not a standard term. Rephrase the following sentence so it does not imply that fossil-fuel OA lacks any absorptive properties.
Editorial Suggestions