Articles | Volume 13, issue 7
https://doi.org/10.5194/amt-13-3561-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-3561-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jul 2020
Research article |
| 03 Jul 2020
| 03 Jul 2020
In-flight calibration results of the TROPOMI payload on board the Sentinel-5 Precursor satellite
Antje Ludewig
CORRESPONDING AUTHOR
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Quintus Kleipool
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Rolf Bartstra
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
S&T Science and Technology B.V., Delft, the Netherlands
Robin Landzaat
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
TriOpSys B.V., Utrecht, the Netherlands
Jonatan Leloux
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
TriOpSys B.V., Utrecht, the Netherlands
Erwin Loots
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Peter Meijering
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
TriOpSys B.V., Utrecht, the Netherlands
Emiel van der Plas
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Nico Rozemeijer
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
TriOpSys B.V., Utrecht, the Netherlands
Frank Vonk
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
TriOpSys B.V., Utrecht, the Netherlands
Pepijn Veefkind
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
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- Study of atmospheric glyoxal using multiple axis differential optical spectroscopy (MAX-DOAS) in India M. Biswas et al. 10.1016/j.atmosenv.2023.120109
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. 10.3389/fenvs.2021.770662
- Combined UV and IR ozone profile retrieval from TROPOMI and CrIS measurements N. Mettig et al. 10.5194/amt-15-2955-2022
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- Validation of EMI-2 Radiometric Performance with TROPOMI over Dome C Site in Antarctica J. Su et al. 10.3390/rs15082012
- Inflight Radiometric Calibration and Performance of the Orbiting Carbon Observatory 3 for Version 10 Products G. Keller et al. 10.1109/TGRS.2022.3216825
- Quantification of lightning-produced NO<sub><i>x</i></sub> over the Pyrenees and the Ebro Valley by using different TROPOMI-NO<sub>2</sub> and cloud research products F. Pérez-Invernón et al. 10.5194/amt-15-3329-2022
- Spectral replacement using machine learning methods for continuous mapping of the Geostationary Environment Monitoring Spectrometer (GEMS) Y. Lee et al. 10.5194/amt-16-153-2023
- Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI M. Kooreman et al. 10.5194/amt-13-6407-2020
- Possible Overestimation of Nitrogen Dioxide Outgassing during the Beirut 2020 Explosion A. Farahat et al. 10.3390/rs14246377
- Examining TROPOMI formaldehyde to nitrogen dioxide ratios in the Lake Michigan region: implications for ozone exceedances J. Acdan et al. 10.5194/acp-23-7867-2023
- Air quality impacts of COVID-19 lockdown measures detected from space using high spatial resolution observations of multiple trace gases from Sentinel-5P/TROPOMI P. Levelt et al. 10.5194/acp-22-10319-2022
- In-Flight Preliminary Performance of GF-5B/Absorbing Aerosol Sensor Y. Wang et al. 10.3390/rs15174343
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- In-orbit Earth reflectance validation of TROPOMI on board the Sentinel-5 Precursor satellite L. Tilstra et al. 10.5194/amt-13-4479-2020
- Identification of volatile organic compound emissions from anthropogenic and biogenic sources based on satellite observation of formaldehyde and glyoxal Y. Chen et al. 10.1016/j.scitotenv.2022.159997
- Ozone profile retrieval from nadir TROPOMI measurements in the UV range N. Mettig et al. 10.5194/amt-14-6057-2021
- Successful Derivation of Absorbing Aerosol Index from the Environmental Trace Gases Monitoring Instrument (EMI) F. Tang et al. 10.3390/rs14164105
- DARCLOS: a cloud shadow detection algorithm for TROPOMI V. Trees et al. 10.5194/amt-15-3121-2022
- Observations of Lightning NOx Production From Tropospheric Monitoring Instrument Case Studies Over the United States D. Allen et al. 10.1029/2020JD034174
- A directional surface reflectance climatology determined from TROPOMI observations L. Tilstra et al. 10.5194/amt-17-2235-2024
- 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
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- TROPOMI tropospheric ozone column data: geophysical assessment and comparison to ozonesondes, GOME-2B and OMI D. Hubert et al. 10.5194/amt-14-7405-2021
- Influence of convection on the upper-tropospheric O<sub>3</sub> and NO<sub><i>x</i></sub> budget in southeastern China X. Zhang et al. 10.5194/acp-22-5925-2022
- An Investigation on Inter-Calibrating EMI/GF-5 With TROPOMI/S5p in Ultraviolet–Visible Spectra Q. Wang et al. 10.1109/TGRS.2022.3214828
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- TROPOspheric Monitoring Instrument observations of total column water vapour: Algorithm and validation K. Chan et al. 10.1016/j.scitotenv.2022.153232
- Effects of COVID-19 on the environment: An overview on air, water, wastewater, and solid waste K. Elsaid et al. 10.1016/j.jenvman.2021.112694
- Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
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- Using Machine Learning for Timely Estimates of Ocean Color Information From Hyperspectral Satellite Measurements in the Presence of Clouds, Aerosols, and Sunglint Z. Fasnacht et al. 10.3389/frsen.2022.846174
- A Statistical Algorithm for Retrieving Background Value of Absorbing Aerosol Index Based on TROPOMI Measurements F. Tang et al. 10.1007/s00376-022-2093-3
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
- Restoring the top-of-atmosphere reflectance during solar eclipses: a proof of concept with the UV absorbing aerosol index measured by TROPOMI V. Trees et al. 10.5194/acp-21-8593-2021
- TROPOMI-Retrieved Underwater Light Attenuation in Three Spectral Regions in the Ultraviolet and Blue J. Oelker et al. 10.3389/fmars.2022.787992
- Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations F. Lemmouchi et al. 10.3390/rs14112582
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- S5P TROPOMI NO<sub>2</sub> slant column retrieval: method, stability, uncertainties and comparisons with OMI J. van Geffen et al. 10.5194/amt-13-1315-2020
40 citations as recorded by crossref.
- Daily Satellite Observations of Nitrogen Dioxide Air Pollution Inequality in New York City, New York and Newark, New Jersey: Evaluation and Application I. Dressel et al. 10.1021/acs.est.2c02828
- Study of atmospheric glyoxal using multiple axis differential optical spectroscopy (MAX-DOAS) in India M. Biswas et al. 10.1016/j.atmosenv.2023.120109
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. 10.3389/fenvs.2021.770662
- Combined UV and IR ozone profile retrieval from TROPOMI and CrIS measurements N. Mettig et al. 10.5194/amt-15-2955-2022
- Volcanic SO<sub>2</sub> effective layer height retrieval for the Ozone Monitoring Instrument (OMI) using a machine-learning approach N. Fedkin et al. 10.5194/amt-14-3673-2021
- Vicarious calibration of the Tropospheric Monitoring Instrument (TROPOMI) short-wave infrared (SWIR) module over the Railroad Valley Playa T. van Kempen et al. 10.5194/amt-16-4507-2023
- Validation of EMI-2 Radiometric Performance with TROPOMI over Dome C Site in Antarctica J. Su et al. 10.3390/rs15082012
- Inflight Radiometric Calibration and Performance of the Orbiting Carbon Observatory 3 for Version 10 Products G. Keller et al. 10.1109/TGRS.2022.3216825
- Quantification of lightning-produced NO<sub><i>x</i></sub> over the Pyrenees and the Ebro Valley by using different TROPOMI-NO<sub>2</sub> and cloud research products F. Pérez-Invernón et al. 10.5194/amt-15-3329-2022
- Spectral replacement using machine learning methods for continuous mapping of the Geostationary Environment Monitoring Spectrometer (GEMS) Y. Lee et al. 10.5194/amt-16-153-2023
- Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI M. Kooreman et al. 10.5194/amt-13-6407-2020
- Possible Overestimation of Nitrogen Dioxide Outgassing during the Beirut 2020 Explosion A. Farahat et al. 10.3390/rs14246377
- Examining TROPOMI formaldehyde to nitrogen dioxide ratios in the Lake Michigan region: implications for ozone exceedances J. Acdan et al. 10.5194/acp-23-7867-2023
- Air quality impacts of COVID-19 lockdown measures detected from space using high spatial resolution observations of multiple trace gases from Sentinel-5P/TROPOMI P. Levelt et al. 10.5194/acp-22-10319-2022
- In-Flight Preliminary Performance of GF-5B/Absorbing Aerosol Sensor Y. Wang et al. 10.3390/rs15174343
- Sentinel-5P TROPOMI NO<sub>2</sub> retrieval: impact of version v2.2 improvements and comparisons with OMI and ground-based data J. van Geffen et al. 10.5194/amt-15-2037-2022
- In-orbit Earth reflectance validation of TROPOMI on board the Sentinel-5 Precursor satellite L. Tilstra et al. 10.5194/amt-13-4479-2020
- Identification of volatile organic compound emissions from anthropogenic and biogenic sources based on satellite observation of formaldehyde and glyoxal Y. Chen et al. 10.1016/j.scitotenv.2022.159997
- Ozone profile retrieval from nadir TROPOMI measurements in the UV range N. Mettig et al. 10.5194/amt-14-6057-2021
- Successful Derivation of Absorbing Aerosol Index from the Environmental Trace Gases Monitoring Instrument (EMI) F. Tang et al. 10.3390/rs14164105
- DARCLOS: a cloud shadow detection algorithm for TROPOMI V. Trees et al. 10.5194/amt-15-3121-2022
- Observations of Lightning NOx Production From Tropospheric Monitoring Instrument Case Studies Over the United States D. Allen et al. 10.1029/2020JD034174
- A directional surface reflectance climatology determined from TROPOMI observations L. Tilstra et al. 10.5194/amt-17-2235-2024
- 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
- TROPOMI aerosol products: evaluation and observations of synoptic-scale carbonaceous aerosol plumes during 2018–2020 O. Torres et al. 10.5194/amt-13-6789-2020
- Monitoring the Tropospheric Monitoring Instrument (TROPOMI) short-wave infrared (SWIR) module instrument stability using desert sites T. van Kempen et al. 10.5194/amt-14-6711-2021
- TROPOMI tropospheric ozone column data: geophysical assessment and comparison to ozonesondes, GOME-2B and OMI D. Hubert et al. 10.5194/amt-14-7405-2021
- Influence of convection on the upper-tropospheric O<sub>3</sub> and NO<sub><i>x</i></sub> budget in southeastern China X. Zhang et al. 10.5194/acp-22-5925-2022
- An Investigation on Inter-Calibrating EMI/GF-5 With TROPOMI/S5p in Ultraviolet–Visible Spectra Q. Wang et al. 10.1109/TGRS.2022.3214828
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- TROPOspheric Monitoring Instrument observations of total column water vapour: Algorithm and validation K. Chan et al. 10.1016/j.scitotenv.2022.153232
- Effects of COVID-19 on the environment: An overview on air, water, wastewater, and solid waste K. Elsaid et al. 10.1016/j.jenvman.2021.112694
- Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
- TROPOMI/S5P Total Column Water Vapor validation against AERONET ground-based measurements K. Garane et al. 10.5194/amt-16-57-2023
- Using Machine Learning for Timely Estimates of Ocean Color Information From Hyperspectral Satellite Measurements in the Presence of Clouds, Aerosols, and Sunglint Z. Fasnacht et al. 10.3389/frsen.2022.846174
- A Statistical Algorithm for Retrieving Background Value of Absorbing Aerosol Index Based on TROPOMI Measurements F. Tang et al. 10.1007/s00376-022-2093-3
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
- Restoring the top-of-atmosphere reflectance during solar eclipses: a proof of concept with the UV absorbing aerosol index measured by TROPOMI V. Trees et al. 10.5194/acp-21-8593-2021
- TROPOMI-Retrieved Underwater Light Attenuation in Three Spectral Regions in the Ultraviolet and Blue J. Oelker et al. 10.3389/fmars.2022.787992
- Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations F. Lemmouchi et al. 10.3390/rs14112582
2 citations as recorded by crossref.
- Evaluating Sentinel-5P TROPOMI tropospheric NO<sub>2</sub> column densities with airborne and Pandora spectrometers near New York City and Long Island Sound L. Judd et al. 10.5194/amt-13-6113-2020
- S5P TROPOMI NO<sub>2</sub> slant column retrieval: method, stability, uncertainties and comparisons with OMI J. van Geffen et al. 10.5194/amt-13-1315-2020
Latest update: 26 Apr 2024
Short summary
After the Sentinel-5 Precursor satellite launch on 13 October 2017, its single payload, the TROPOspheric Monitoring Instrument (TROPOMI), was tested and calibrated extensively. Changes due to ageing of the instrument and new insights have led to updates to the L1b processor and its calibration key data, leading to improvements of the data quality. Regularly scheduled calibration measurements are used in the nominal operations phase (since 30 April 2018) to correct instrument degradation.
After the Sentinel-5 Precursor satellite launch on 13 October 2017, its single payload, the...
