Chloramine chemistry as a missing link in atmospheric chlorine cycling
Data files
Oct 13, 2025 version files 50.57 MB
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Beijing_obs_data.csv
901.21 KB
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Code_BoxModel.zip
48.62 MB
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Code_ML.zip
919.29 KB
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Delhi_obs_data.csv
26.35 KB
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README.md
2.96 KB
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Table_S15.xlsx
95.69 KB
Abstract
Chlorine radicals (Cl·) profoundly impact atmospheric oxidation capacity. Chloramines, especially trichloramine (NCl3), are emerging precursors of Cl·. However, their sources and roles in the atmosphere remain elusive. This study presents field evidence of primary emissions and explicit secondary production pathways of atmospheric NCl3 in Beijing, supplemented by observations from New Delhi and reanalysis of measurements in Toronto. We demonstrate that the sequential chlorination reactions initiated by molecular chlorine (Cl2) and ammonia (NH3) in atmospheric aerosols are a major source of NCl3. The NCl3 produced in aerosols is a source of gaseous NCl3 and serves as an intermediate during the conversion from Cl2 to Cl·, while direct NCl3 emissions constitute a previously overlooked source of Cl·. Overall, chloramine chemistry alters the Cl· production mechanism and represents a crucial missing pathway to Cl· worldwide.
Dryad DOI: 10.5061/dryad.c866t1gmf
All field observation data used and codes developed for this manuscript and Table S15.
Description of the data and file structure
Beijing_obs_data.csv
Hourly averaged data, forward averaging is applied, e.g., the timestamp for the average of measurements from 2022/1/22 00:00 to 2022/1/22 01:00 is 2022/1/22 00:00.
Time indicates local Beijing time
- Time series of reactive chlorines mixing ratios, in units of part per trillion (ppt)
- Time series of trace gases and volatile organic compounds mixing ratios, in units of part per billion (ppb)
- Meteorological parameters:
Temp refers to temperature in units of degrees Celsius
RH refers to relative humidity in units of %
WD refers to wind direction in units of degrees
WS refers to wind speed in units of meters per second
Precipitation in units of millimeters - Aerosol composition data (chloride, nitrate, sulfate, and ammonium) in units of μg/m3
- Gas-phase data (NH3, HCl and HNO3) in unit of μg/m3
n/a indicates not available due to the lack of measurements or instrument malfunction
Delhi_obs_data.csv
Hourly averaged data, forward averaging is applied, e.g., the timestamp for the average of measurements from 2023/2/23 18:00 to 2023/2/23 19:00 is 2023/2/23 18:00.
Time indicates local Delhi time
- Time series of reactive chlorines mixing ratios, in units of part per trillion (ppt)
- Time series of PM2.5 mass concentration in units of μg/m3 and solar radiation in units of W/m2
n/a indicates not available due to the lack of measurements or instrument malfunction
Table_S15.xlsx
Table S15 in the supplementary material
Sharing/Access information
Links to other publicly accessible locations of the data:
Code/Software
Code_BoxModel.zip: MATLAB version R2024b, please find the detailed readme file in the corresponding .zip file
MATLAB packages: Statistics Toolbox, Curve Fitting Toolbox, and Optimization Toolbox
Code_ML.zip: Codes for Machine Learning
Environment:
OS: Windows 11 Professional
CPU: 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz
IDE: Visual Studio Code 1.78.0
Python: 3.8.8
Python packages used in this paper are shown in requirements.txt
Launch:
1. install vscode # https://code.visualstudio.com/docs/supporting/faq#_previous-release-versions
2. install Python3.8.8 # https://mirrors.huaweicloud.com/python/3.8.8/
3. Install Python package in terminal: pip install -r requirements.txt
4. install jupyter and select python3.8.8 as interpreter # following hint of vscode
5. running main.ipynb step by step
Please find the detailed readme file in the corresponding .zip file
