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Global Observations of Tropospheric Bromine Monoxide (BrO) Columns From TROPOMI

Yuyang Chen, Song Liu*, Lei Zhu*, Sora Seo, Andreas Richter, Xicheng Li, Ao Ding, Wenfu Sun, Lei Shu, Xuan Wang, Pieter Valks, Francois Hendrick, Theodore K. Koenig, Rainer Volkamer, Bin Bai, Dakang Wang, Dongchuan Pu, Shuai Sun, Juan Li, Xiaoxing ZuoWeitao Fu, Yali Li, Peng Zhang, Xin Yang, Tzung-May Fu

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

Bromine monoxide (BrO) plays an important role in tropospheric chemistry. The state-of-the-science TROPOspheric Monitoring Instrument (TROPOMI) offers the potential to monitor atmospheric composition with a fine spatial resolution of up to 5.5 × 3.5 km2. We present here the retrieval of tropospheric BrO columns from TROPOMI. We implement a stratospheric correction scheme using a climatological approach based on the latest GEOS-Chem High Performance chemical transport model, and improve the tropospheric air mass factor calculation with TROPOMI surface albedo data accounting for the geometrical dependency. Our product presents a good level of consistency in comparison with measurements from ground-based zenith-sky differential optical absorption spectroscopy (r = 0.67), aircrafts (r = 0.46), and satellites (similar spatial distributions of BrO columns). Furthermore, our retrieval captures BrO enhancements in the polar springtime with values up to 7.8 × 1013 molecules cm−2 and identifies small-scale emission sources such as volcanoes and salt marshes. Based on TROPOMI data, we probe a blowing snow aerosol bromine mechanism in which the snow salinity is reduced to better match simulation and observation. Our TROPOMI tropospheric BrO product contributes high-resolution global information to studies investigating atmospheric bromine chemistry.

© 2023 The Authors
Original languageEnglish
Article numbere2023JD039091
JournalJournal of Geophysical Research: Atmospheres
Volume128
Issue number24
Online published21 Dec 2023
DOIs
Publication statusPublished - 27 Dec 2023

Funding

This work is funded by the National Natural Science Foundation of China (42375090, 42205134), the Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks (ZDSYS20220606100604008), Guangdong Basic and Applied Basic Research Fund (2020B1515130003), Guangdong Basic and Applied Basic Research Foundation (2021A1515110713), Guangdong University Research Project Science Team (2021KCXTD004), Major Talent Project of Guangdong Province (2021QN020924), and Shenzhen Science and Technology Program (KQTD20210811090048025, JCYJ20210324104604012, JCYJ20220530115404009). SS and AR gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Projektnummer 268020496 – TRR 172, within the Transregional Collaborative Research Center “ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)³.” XW was supported by the National Natural Science Foundation of China (42005083). RV acknowledges funding from the US National Science Foundation awards AGS-1104104 (TORERO project), and AGS-1951514. The involvement of the NSF-sponsored Lower Atmospheric Observing Facilities, managed and operated by the National Center for Atmospheric Research (NCAR) Earth Observing Laboratory (EOL), is acknowledged. The data was downloaded from the TORERO Data Archive, which is maintained by NCAR EOL. We acknowledge the free use of the TROPOMI surface DLER database provided through the Sentinel-5p+ Innovation project of ESA. The TROPOMI surface DLER database was created by the KNMI. We acknowledge EU/ESA/DLR for providing the TROPOMI level-2 data product of ozone, NO2, SO2, and cloud. This work is supported by the Center for Computational Science and Engineering at Southern University of Science and Technology. This work is funded by the National Natural Science Foundation of China (42375090, 42205134), the Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks (ZDSYS20220606100604008), Guangdong Basic and Applied Basic Research Fund (2020B1515130003), Guangdong Basic and Applied Basic Research Foundation (2021A1515110713), Guangdong University Research Project Science Team (2021KCXTD004), Major Talent Project of Guangdong Province (2021QN020924), and Shenzhen Science and Technology Program (KQTD20210811090048025, JCYJ20210324104604012, JCYJ20220530115404009). SS and AR gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) ‐ Projektnummer 268020496 – TRR 172, within the Transregional Collaborative Research Center “ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)³.” XW was supported by the National Natural Science Foundation of China (42005083). RV acknowledges funding from the US National Science Foundation awards AGS‐1104104 (TORERO project), and AGS‐1951514. The involvement of the NSF‐sponsored Lower Atmospheric Observing Facilities, managed and operated by the National Center for Atmospheric Research (NCAR) Earth Observing Laboratory (EOL), is acknowledged. The data was downloaded from the TORERO Data Archive, which is maintained by NCAR EOL. We acknowledge the free use of the TROPOMI surface DLER database provided through the Sentinel‐5p+ Innovation project of ESA. The TROPOMI surface DLER database was created by the KNMI. We acknowledge EU/ESA/DLR for providing the TROPOMI level‐2 data product of ozone, NO, SO, and cloud. This work is supported by the Center for Computational Science and Engineering at Southern University of Science and Technology. 2 2

Research Keywords

  • BrO
  • GEOS-Chem
  • retrieval
  • TROPOMI

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC 4.0. https://creativecommons.org/licenses/by-nc/4.0/

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