Articles | Volume 13, issue 7
Atmos. Meas. Tech., 13, 3751–3767, 2020
https://doi.org/10.5194/amt-13-3751-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue: TROPOMI on Sentinel-5 Precursor: first year in operation (AMT/ACP...
Atmos. Meas. Tech., 13, 3751–3767, 2020
https://doi.org/10.5194/amt-13-3751-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 10 Jul 2020
Research article | 10 Jul 2020
TROPOMI–Sentinel-5 Precursor formaldehyde validation using an extensive network of ground-based Fourier-transform infrared stations
Corinne Vigouroux et al.
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Cited
10 citations as recorded by crossref.
- An improved TROPOMI tropospheric HCHO retrieval over China W. Su et al. 10.5194/amt-13-6271-2020
- Global Significant Changes in Formaldehyde (HCHO) Columns Observed From Space at the Early Stage of the COVID‐19 Pandemic W. Sun et al. 10.1029/2020GL091265
- Characterization and potential for reducing optical resonances in Fourier transform infrared spectrometers of the Network for the Detection of Atmospheric Composition Change (NDACC) T. Blumenstock et al. 10.5194/amt-14-1239-2021
- First retrievals of peroxyacetyl nitrate (PAN) from ground-based FTIR solar spectra recorded at remote sites, comparison with model and satellite data E. Mahieu et al. 10.1525/elementa.2021.00027
- Comparison of formaldehyde tropospheric columns in Australia and New Zealand using MAX-DOAS, FTIR and TROPOMI R. Ryan et al. 10.5194/amt-13-6501-2020
- Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. 10.5194/acp-21-12561-2021
- Recommendations for HCHO and SO2 Retrieval Settings from MAX-DOAS Observations under Different Meteorological Conditions Z. Javed et al. 10.3390/rs13122244
- Atmospheric Impacts of COVID-19 on NOx and VOC Levels over China Based on TROPOMI and IASI Satellite Data and Modeling T. Stavrakou et al. 10.3390/atmos12080946
- Modified Fourier transform and its properties D. Khan et al. 10.20948/mathmontis-2021-51-5
- OMI-observed HCHO in Shanghai, China, during 2010–2019 and ozone sensitivity inferred by an improved HCHO ∕ NO<sub>2</sub> ratio D. Li et al. 10.5194/acp-21-15447-2021
10 citations as recorded by crossref.
- An improved TROPOMI tropospheric HCHO retrieval over China W. Su et al. 10.5194/amt-13-6271-2020
- Global Significant Changes in Formaldehyde (HCHO) Columns Observed From Space at the Early Stage of the COVID‐19 Pandemic W. Sun et al. 10.1029/2020GL091265
- Characterization and potential for reducing optical resonances in Fourier transform infrared spectrometers of the Network for the Detection of Atmospheric Composition Change (NDACC) T. Blumenstock et al. 10.5194/amt-14-1239-2021
- First retrievals of peroxyacetyl nitrate (PAN) from ground-based FTIR solar spectra recorded at remote sites, comparison with model and satellite data E. Mahieu et al. 10.1525/elementa.2021.00027
- Comparison of formaldehyde tropospheric columns in Australia and New Zealand using MAX-DOAS, FTIR and TROPOMI R. Ryan et al. 10.5194/amt-13-6501-2020
- Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. 10.5194/acp-21-12561-2021
- Recommendations for HCHO and SO2 Retrieval Settings from MAX-DOAS Observations under Different Meteorological Conditions Z. Javed et al. 10.3390/rs13122244
- Atmospheric Impacts of COVID-19 on NOx and VOC Levels over China Based on TROPOMI and IASI Satellite Data and Modeling T. Stavrakou et al. 10.3390/atmos12080946
- Modified Fourier transform and its properties D. Khan et al. 10.20948/mathmontis-2021-51-5
- OMI-observed HCHO in Shanghai, China, during 2010–2019 and ozone sensitivity inferred by an improved HCHO ∕ NO<sub>2</sub> ratio D. Li et al. 10.5194/acp-21-15447-2021
Latest update: 17 Oct 2021
Short summary
We validate the TROPOMI HCHO product with ground-based FTIR (Fourier-transform infrared) measurements from 25 stations. We find that TROPOMI overestimates HCHO under clean conditions, while it underestimates it at high HCHO levels. Both TROPOMI precision and accuracy reach the pre-launch requirements, and its precision can even be 2 times better. The observed TROPOMI seasonal variability is in agreement with the FTIR data. The TROPOMI random uncertainty and data filtering should be refined.
We validate the TROPOMI HCHO product with ground-based FTIR (Fourier-transform infrared)...
