Articles | Volume 14, issue 12
https://doi.org/10.5194/amt-14-7405-2021
© Author(s) 2021. 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-14-7405-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Nov 2021
Research article |
| 30 Nov 2021
| 30 Nov 2021
TROPOMI tropospheric ozone column data: geophysical assessment and comparison to ozonesondes, GOME-2B and OMI
Atmospheric Data Synergies, Atmospheric Reactive Gases, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Ringlaan 3, 1180 Uccle (Brussels), Belgium
Klaus-Peter Heue
German Aerospace Centre (DLR), Münchener Straße 20, 82234 Weßling, Germany
Technische Universität München, Arcisstrasse 21, 80333 Munich, Germany
Jean-Christopher Lambert
Atmospheric Data Synergies, Atmospheric Reactive Gases, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Ringlaan 3, 1180 Uccle (Brussels), Belgium
Tijl Verhoelst
Atmospheric Data Synergies, Atmospheric Reactive Gases, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Ringlaan 3, 1180 Uccle (Brussels), Belgium
Marc Allaart
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3730 AE De Bilt, the Netherlands
Steven Compernolle
Atmospheric Data Synergies, Atmospheric Reactive Gases, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Ringlaan 3, 1180 Uccle (Brussels), Belgium
Patrick D. Cullis
NOAA Global Monitoring Laboratory (NOAA/ESRL/GML), 1325 Broadway, Boulder, CO 80305-3337, USA
Angelika Dehn
European Space Agency/Centre for Earth Observation (ESA/ESRIN), Largo Galileo Galilei 1, 00044 Frascati, Rome, Italy
Christian Félix
Federal Office of Meteorology and Climatology, MeteoSwiss, Payerne, Switzerland
Bryan J. Johnson
NOAA Global Monitoring Laboratory (NOAA/ESRL/GML), 1325 Broadway, Boulder, CO 80305-3337, USA
Arno Keppens
Atmospheric Data Synergies, Atmospheric Reactive Gases, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Ringlaan 3, 1180 Uccle (Brussels), Belgium
Debra E. Kollonige
Science Systems and Applications, Inc., Lanham, MD, USA
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Christophe Lerot
Atmospheric Data Synergies, Atmospheric Reactive Gases, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Ringlaan 3, 1180 Uccle (Brussels), Belgium
Diego Loyola
German Aerospace Centre (DLR), Münchener Straße 20, 82234 Weßling, Germany
Matakite Maata
School of Biological and Chemical Sciences, University of the South Pacific, Suva, Fiji
Sukarni Mitro
Meteorological Service of Suriname, Paramaribo, Suriname
Maznorizan Mohamad
Atmospheric Science and Cloud Seeding Division, Malaysian Meteorological Department, Petaling Jaya, Selangor, Malaysia
Ankie Piters
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3730 AE De Bilt, the Netherlands
Fabian Romahn
German Aerospace Centre (DLR), Münchener Straße 20, 82234 Weßling, Germany
Henry B. Selkirk
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
Francisco R. da Silva
Laboratory of Environmental and Tropical Variables, Brazilian Institute of Space Research, Natal, Brazil
Ryan M. Stauffer
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Anne M. Thompson
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
J. Pepijn Veefkind
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3730 AE De Bilt, the Netherlands
Holger Vömel
National Center for Atmospheric Research, Boulder, CO, USA
Jacquelyn C. Witte
National Center for Atmospheric Research, Boulder, CO, USA
Claus Zehner
European Space Agency/Centre for Earth Observation (ESA/ESRIN), Largo Galileo Galilei 1, 00044 Frascati, Rome, Italy
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Cited
22 citations as recorded by crossref.
- Surface, Satellite Ozone Changes in Northern South America During Low Anthropogenic Emission Conditions: A Machine Learning Approach A. Casallas et al. 10.2139/ssrn.4016140
- Analysis of Long-Term Measurements of Tropospheric Ozone at the SPBU Observational Site in Peterhof Y. Virolainen et al. 10.31857/S0002351523030094
- Improved convective cloud differential (CCD) tropospheric ozone from S5P-TROPOMI satellite data using local cloud fields S. Maratt Satheesan et al. 10.5194/amt-17-6459-2024
- Harmonizing atmospheric ozone column concentrations over the Tibetan Plateau from 2005 to 2022 using OMI and Sentinel-5P TROPOMI: A deep learning approach C. Shi et al. 10.1016/j.jag.2024.103808
- Combined UV and IR ozone profile retrieval from TROPOMI and CrIS measurements N. Mettig et al. 10.5194/amt-15-2955-2022
- Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. 10.1029/2023JD039310
- LESO: A ten-year ensemble of satellite-derived intercontinental hourly surface ozone concentrations S. Zhu et al. 10.1038/s41597-023-02656-4
- Tropospheric ozone column dataset from OMPS-LP/OMPS-NM limb–nadir matching A. Orfanoz-Cheuquelaf et al. 10.5194/amt-17-1791-2024
- Comparison of Satellite and Ground-Based Measurements of Tropospheric Ozone Columns in the Vicinity of St. Petersburg Y. Virolainen et al. 10.1134/S000143382304014X
- In-flight pixel degradation of the Sentinel 5 Precursor TROPOMI-SWIR HgCdTe detector T. van Kempen et al. 10.1088/1361-6501/ad7e3c
- Joint estimation of PM2.5 and O3 concentrations using a hybrid model in Beijing-Tianjin-Hebei, China D. Gong et al. 10.1016/j.apr.2024.102174
- An ozonesonde evaluation of spaceborne observations in the Andean tropics M. Cazorla & E. Herrera 10.1038/s41598-022-20303-7
- Reliability Analysis Based on Air Quality Characteristics in East Asia Using Primary Data from the Test Operation of Geostationary Environment Monitoring Spectrometer (GEMS) W. Choi et al. 10.3390/atmos14091458
- Preliminary Global NO2 Retrieval from EMI-II Onboard GF5B/DQ1 and Comparison to TROPOMI L. Cheng et al. 10.3390/rs16214087
- Tropospheric ozone precursors: global and regional distributions, trends, and variability Y. Elshorbany et al. 10.5194/acp-24-12225-2024
- Consistency evaluation of tropospheric ozone from ozonesonde and IAGOS (In-service Aircraft for a Global Observing System) observations: vertical distribution, ozonesonde types, and station–airport distance H. Wang et al. 10.5194/acp-24-11927-2024
- Satellite-derived estimates of surface ozone by LESO: Extended application and performance evaluation S. Zhu et al. 10.1016/j.jag.2022.103008
- Tropical tropospheric ozone distribution and trends from in situ and satellite data A. Gaudel et al. 10.5194/acp-24-9975-2024
- Analysis of Long-Term Measurements of Tropospheric Ozone at the St. Petersburg State University Observational Site in Peterhof Y. Virolainen et al. 10.1134/S000143382303009X
- Comparison of Satellite and Ground-Based Measurements of Tropospheric Ozone Columns in the Vicinity of St. Petersburg Y. Virolainen et al. 10.31857/S0002351523040144
- Surface, satellite ozone variations in Northern South America during low anthropogenic emission conditions: a machine learning approach A. Casallas et al. 10.1007/s11869-023-01303-6
- Tropospheric and stratospheric ozone profiles during the 2019 TROpomi vaLIdation eXperiment (TROLIX-19) J. Sullivan et al. 10.5194/acp-22-11137-2022
22 citations as recorded by crossref.
- Surface, Satellite Ozone Changes in Northern South America During Low Anthropogenic Emission Conditions: A Machine Learning Approach A. Casallas et al. 10.2139/ssrn.4016140
- Analysis of Long-Term Measurements of Tropospheric Ozone at the SPBU Observational Site in Peterhof Y. Virolainen et al. 10.31857/S0002351523030094
- Improved convective cloud differential (CCD) tropospheric ozone from S5P-TROPOMI satellite data using local cloud fields S. Maratt Satheesan et al. 10.5194/amt-17-6459-2024
- Harmonizing atmospheric ozone column concentrations over the Tibetan Plateau from 2005 to 2022 using OMI and Sentinel-5P TROPOMI: A deep learning approach C. Shi et al. 10.1016/j.jag.2024.103808
- Combined UV and IR ozone profile retrieval from TROPOMI and CrIS measurements N. Mettig et al. 10.5194/amt-15-2955-2022
- Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. 10.1029/2023JD039310
- LESO: A ten-year ensemble of satellite-derived intercontinental hourly surface ozone concentrations S. Zhu et al. 10.1038/s41597-023-02656-4
- Tropospheric ozone column dataset from OMPS-LP/OMPS-NM limb–nadir matching A. Orfanoz-Cheuquelaf et al. 10.5194/amt-17-1791-2024
- Comparison of Satellite and Ground-Based Measurements of Tropospheric Ozone Columns in the Vicinity of St. Petersburg Y. Virolainen et al. 10.1134/S000143382304014X
- In-flight pixel degradation of the Sentinel 5 Precursor TROPOMI-SWIR HgCdTe detector T. van Kempen et al. 10.1088/1361-6501/ad7e3c
- Joint estimation of PM2.5 and O3 concentrations using a hybrid model in Beijing-Tianjin-Hebei, China D. Gong et al. 10.1016/j.apr.2024.102174
- An ozonesonde evaluation of spaceborne observations in the Andean tropics M. Cazorla & E. Herrera 10.1038/s41598-022-20303-7
- Reliability Analysis Based on Air Quality Characteristics in East Asia Using Primary Data from the Test Operation of Geostationary Environment Monitoring Spectrometer (GEMS) W. Choi et al. 10.3390/atmos14091458
- Preliminary Global NO2 Retrieval from EMI-II Onboard GF5B/DQ1 and Comparison to TROPOMI L. Cheng et al. 10.3390/rs16214087
- Tropospheric ozone precursors: global and regional distributions, trends, and variability Y. Elshorbany et al. 10.5194/acp-24-12225-2024
- Consistency evaluation of tropospheric ozone from ozonesonde and IAGOS (In-service Aircraft for a Global Observing System) observations: vertical distribution, ozonesonde types, and station–airport distance H. Wang et al. 10.5194/acp-24-11927-2024
- Satellite-derived estimates of surface ozone by LESO: Extended application and performance evaluation S. Zhu et al. 10.1016/j.jag.2022.103008
- Tropical tropospheric ozone distribution and trends from in situ and satellite data A. Gaudel et al. 10.5194/acp-24-9975-2024
- Analysis of Long-Term Measurements of Tropospheric Ozone at the St. Petersburg State University Observational Site in Peterhof Y. Virolainen et al. 10.1134/S000143382303009X
- Comparison of Satellite and Ground-Based Measurements of Tropospheric Ozone Columns in the Vicinity of St. Petersburg Y. Virolainen et al. 10.31857/S0002351523040144
- Surface, satellite ozone variations in Northern South America during low anthropogenic emission conditions: a machine learning approach A. Casallas et al. 10.1007/s11869-023-01303-6
- Tropospheric and stratospheric ozone profiles during the 2019 TROpomi vaLIdation eXperiment (TROLIX-19) J. Sullivan et al. 10.5194/acp-22-11137-2022
Latest update: 23 Nov 2024
Short summary
We assess the first 2 years of TROPOMI tropical tropospheric ozone column data. Comparisons to reference measurements by ozonesonde and satellite sensors show that TROPOMI bias (−0.1 to +2.3 DU) and precision (1.5 to 2.5 DU) meet mission requirements. Potential causes of bias and its spatio-temporal structure are discussed, as well as ways to identify sampling errors. Our analysis of known geophysical patterns demonstrates the improved performance of TROPOMI with respect to its predecessors.
We assess the first 2 years of TROPOMI tropical tropospheric ozone column data. Comparisons to...
