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Article

Analysis of Tropospheric NO2 Observation Using Pandora and MAX-DOAS Instrument in Xianghe, North China

1
National Meteorological Information Center, China Meteorological Administration, Beijing 100081, China
2
Carbon Neutrality Research Center (CNRC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
3
Key Laboratory of Middle Atmosphere and Global Environment Observation (LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
4
Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
5
Air Quality Research Division, Environment and Climate Change Canada, Toronto, ON M3H 5T4, Canada
6
School of Information Engineering, Nanyang Institute of Technology, Nanyang 473004, China
7
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(10), 1695; https://doi.org/10.3390/rs17101695
Submission received: 11 April 2025 / Revised: 5 May 2025 / Accepted: 7 May 2025 / Published: 12 May 2025

Abstract

This work presents a comprehensive investigation of tropospheric NO2 measurements using a portable ground-based Pandora spectrometer, incorporating an independently designed and implemented calibration and retrieval process (P-CAR v1.0). We designed and optimized a region-specific algorithm for retrieving tropospheric NO2 column densities in China. The measurement process began with establishing a spectral calibration system for processing the Pandora’s raw observations, followed by enhancing the differential optical absorption spectroscopy (DOAS) algorithm to retrieve both the slant column densities (SCDs) and tropospheric vertical column densities (VCDs) of NO2. To validate our retrieval products, comparative analyses were conducted against co-located MAX-DOAS measurements. The results demonstrate excellent agreement between Pandora-retrieved tropospheric NO2 and MAX-DOAS observations, with correlation coefficients exceeding 0.96 for both hourly and daily mean VCDs and fitting slopes greater than 0.90. Furthermore, the validation extended to multi-satellite observations from the Ozone Monitoring Instrument (OMI) and TROPOspheric Monitoring Instrument (TROPOMI), exhibiting pronounced consistency, as evidenced by the correlation coefficients all surpassing 0.90 for the hourly mean values. These findings confirm the high accuracy and reliability of NO2 retrievals from the portable Pandora instrument, significantly boosting its potential for atmospheric monitoring and application.
Keywords: Pandora; MAX-DOAS; NO2; multi-axis differential optical absorption spectroscopy Pandora; MAX-DOAS; NO2; multi-axis differential optical absorption spectroscopy

Share and Cite

MDPI and ACS Style

Wang, C.; Wang, T.; Cai, Z.; Zhao, X.; Wang, W.; Liu, Y.; Wang, P. Analysis of Tropospheric NO2 Observation Using Pandora and MAX-DOAS Instrument in Xianghe, North China. Remote Sens. 2025, 17, 1695. https://doi.org/10.3390/rs17101695

AMA Style

Wang C, Wang T, Cai Z, Zhao X, Wang W, Liu Y, Wang P. Analysis of Tropospheric NO2 Observation Using Pandora and MAX-DOAS Instrument in Xianghe, North China. Remote Sensing. 2025; 17(10):1695. https://doi.org/10.3390/rs17101695

Chicago/Turabian Style

Wang, Chunjiao, Ting Wang, Zhaonan Cai, Xiaoyi Zhao, Wannan Wang, Yi Liu, and Pucai Wang. 2025. "Analysis of Tropospheric NO2 Observation Using Pandora and MAX-DOAS Instrument in Xianghe, North China" Remote Sensing 17, no. 10: 1695. https://doi.org/10.3390/rs17101695

APA Style

Wang, C., Wang, T., Cai, Z., Zhao, X., Wang, W., Liu, Y., & Wang, P. (2025). Analysis of Tropospheric NO2 Observation Using Pandora and MAX-DOAS Instrument in Xianghe, North China. Remote Sensing, 17(10), 1695. https://doi.org/10.3390/rs17101695

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