Articles | Volume 26, issue 11
https://doi.org/10.5194/acp-26-8387-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-8387-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement report
| 
16 Jun 2026
Measurement report |
| 16 Jun 2026
| 16 Jun 2026
Measurement report: Validation of multi-satellite remote sensing products and potential source apportionment of BrO and IO in the Arctic using ship-based DOAS
Qijin Zhang
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Yikai Li
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, China
Haochen Peng
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Haoran Liu
Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, China
Wei Tan
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Chao Liu
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Zhiguo Zhang
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Wanchao Ma
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
Tianyu Tang
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, University of Science and Technology of China, Hefei 230026, China
Anhui Key Laboratory of Polar Environment and Emerging Pollutants, School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China
Data sets
Measurement report: Validation of multi-satellite remote sensing products and potential source apportionment of BrO and IO in the Arctic using ship-based DOAS Q. Zhang et al. https://doi.org/10.5281/zenodo.18072720
Short summary
Our study uses ship-based Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) to validate multi-satellite products (Tropospheric Monitoring Instrument, Geostationary Environmental Monitoring Spectrometer, Global Ozone Monitoring Experiment-2) and identify source mechanisms of BrO (sea ice-coupled photochemistry) and IO (biogenic-driven).
Our study uses ship-based Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) to...
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