Intercomparison of MAX-DOAS, FTIR and direct sun HCHO vertical columns at Xianghe, China

Abstract. MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy), direct sun DOAS (DS) and FTIR (Fourier Transform InfraRed) measurements are considered nowadays as reference data for the validation of HCHO satellite observations. Recognizing their strengths and limitations, as well as evaluating their consistency, is crucial for generating robust and reliable validation datasets. So far, only a handful of studies have explored the complementarity between MAX-DOAS and direct sun FTIR HCHO measurements and the question of the consistency of the ground-based retrievals within the different networks currently used for satellite validation is still relevant. Here we take advantage of the presence of a MAX-DOAS spectrometer, incorporating a direct sun viewing mode capability, and an FTIR instrument operating in parallel at the Xianghe site (39.75° N, 116.96° E, China), to compare the retrieved HCHO vertical columns and investigate the reasons for the observed differences. First, we compare the UV and IR HCHO vertical column densities (VCDs) in the direct sun geometry, for which the uncertainty due to the light path is negligible. We find an excellent agreement between the measurements obtained in both wavelength ranges, with a median difference of less than −0.5 × 1015 molec. cm−2 (−6 % ± 11 % for (FTIR − DS) / DS). Second, the MAX-DOAS data from different retrieval strategies implemented within the European Space Agency Fiducial Reference Measurement centralized processing facility for DOAS observations are compared to the DS and FTIR ones. The MAX-DOAS HCHO columns correlate well with the direct sun DOAS and FTIR data, but underestimate them by about 20 %. Focusing on the vertical profiles, we show that this bias cancels out when taking properly into account the different a priori profiles and the respective vertical sensitivities of the MAX-DOAS and FTIR measurements. The underestimation in the current MAX-DOAS VCDs is coming from the limited vertical sensitivity of the technique and from the choice of the a priori profile, which neglects the free-tropospheric contribution (above 4 km), where the MAX-DOAS has no sensitivity. We test and suggest possible improvements to the current centralized MAX-DOAS HCHO retrievals processing, like using more appropriate a priori profiles, based on the CAMS and TM5 chemical-transport models (CTMs) that better estimate the HCHO content above 4 km.

Authors

Publication Details

Journal
Atmospheric measurement techniques
Published
2026-02-19
DOI
https://doi.org/10.5194/amt-19-1259-2026
Primary Topic
Atmospheric Ozone and Climate
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intercomparison of MAX-DOAS, FTIR and direct sun HCHO vertical columns at Xianghe, China

Isabelle De Smedt, Corinne Vigouroux, Gaia Pinardi, Pucai Wang et al.
Atmospheric measurement techniques
Atmospheric Ozone and Climate
article

Intercomparison of MAX-DOAS, FTIR and direct sun HCHO vertical columns at Xianghe, China

Isabelle De Smedt, Corinne Vigouroux, Gaia Pinardi, Pucai Wang, Minqiang Zhou, Martina M. Friedrich, Ting Wang, Michel Van Roozendael, Steffen Beirle, Martine De Mazière, Thomas Wagner, Christian Hermans
article en

Abstract

Abstract. MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy), direct sun DOAS (DS) and FTIR (Fourier Transform InfraRed) measurements are considered nowadays as reference data for the validation of HCHO satellite observations. Recognizing their strengths and limitations, as well as evaluating their consistency, is crucial for generating robust and reliable validation datasets. So far, only a handful of studies have explored the complementarity between MAX-DOAS and direct sun FTIR HCHO measurements and the question of the consistency of the ground-based retrievals within the different networks currently used for satellite validation is still relevant. Here we take advantage of the presence of a MAX-DOAS spectrometer, incorporating a direct sun viewing mode capability, and an FTIR instrument operating in parallel at the Xianghe site (39.75° N, 116.96° E, China), to compare the retrieved HCHO vertical columns and investigate the reasons for the observed differences. First, we compare the UV and IR HCHO vertical column densities (VCDs) in the direct sun geometry, for which the uncertainty due to the light path is negligible. We find an excellent agreement between the measurements obtained in both wavelength ranges, with a median difference of less than −0.5 × 1015 molec. cm−2 (−6 % ± 11 % for (FTIR − DS) / DS). Second, the MAX-DOAS data from different retrieval strategies implemented within the European Space Agency Fiducial Reference Measurement centralized processing facility for DOAS observations are compared to the DS and FTIR ones. The MAX-DOAS HCHO columns correlate well with the direct sun DOAS and FTIR data, but underestimate them by about 20 %. Focusing on the vertical profiles, we show that this bias cancels out when taking properly into account the different a priori profiles and the respective vertical sensitivities of the MAX-DOAS and FTIR measurements. The underestimation in the current MAX-DOAS VCDs is coming from the limited vertical sensitivity of the technique and from the choice of the a priori profile, which neglects the free-tropospheric contribution (above 4 km), where the MAX-DOAS has no sensitivity. We test and suggest possible improvements to the current centralized MAX-DOAS HCHO retrievals processing, like using more appropriate a priori profiles, based on the CAMS and TM5 chemical-transport models (CTMs) that better estimate the HCHO content above 4 km.

Atmospheric measurement techniquesVol. 19(4)
Openalex Percentile: Top 63%
Atmospheric Ozone and Climate
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.