Articles | Volume 9, issue 2
https://doi.org/10.5194/gmd-9-875-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-875-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| 
01 Mar 2016
Methods for assessment of models |
| 01 Mar 2016
Representativeness errors in comparing chemistry transport and chemistry climate models with satellite UV–Vis tropospheric column retrievals
Royal Netherlands Meteorological Institute, De Bilt, the
Netherlands
Wageningen University, Meteorology and Air Quality
department, Wageningen, the Netherlands
G. C. M. Vinken
Eindhoven University of Technology, Eindhoven, the
Netherlands
H. J. Eskes
Royal Netherlands Meteorological Institute, De Bilt, the
Netherlands
Viewed
Total article views: 5,286 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Sep 2015)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,066 | 2,056 | 164 | 5,286 | 567 | 190 | 220 |
- HTML: 3,066
- PDF: 2,056
- XML: 164
- Total: 5,286
- Supplement: 567
- BibTeX: 190
- EndNote: 220
Total article views: 4,683 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Mar 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,769 | 1,760 | 154 | 4,683 | 347 | 182 | 211 |
- HTML: 2,769
- PDF: 1,760
- XML: 154
- Total: 4,683
- Supplement: 347
- BibTeX: 182
- EndNote: 211
Total article views: 603 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Sep 2015)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 297 | 296 | 10 | 603 | 220 | 8 | 9 |
- HTML: 297
- PDF: 296
- XML: 10
- Total: 603
- Supplement: 220
- BibTeX: 8
- EndNote: 9
Cited
57 citations as recorded by crossref.
- Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO S. Lama et al. 10.5194/acp-22-16053-2022
- Evaluating the methods and influencing factors of satellite-derived estimates of NOX emissions at regional scale: A case study for Yangtze River Delta, China Y. Yang et al. 10.1016/j.atmosenv.2019.117051
- Reductions in nitrogen oxides over the Netherlands between 2005 and 2018 observed from space and on the ground: Decreasing emissions and increasing O3 indicate changing NOx chemistry M. Zara et al. 10.1016/j.aeaoa.2021.100104
- Substantial nitrogen oxides emission reduction from China due to COVID-19 and its impact on surface ozone and aerosol pollution Q. Zhang et al. 10.1016/j.scitotenv.2020.142238
- Global deposition of total reactive nitrogen oxides from 1996 to 2014 constrained with satellite observations of NO<sub>2</sub> columns J. Geddes & R. Martin 10.5194/acp-17-10071-2017
- Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
- A comparison of the impact of TROPOMI and OMI tropospheric NO<sub>2</sub> on global chemical data assimilation T. Sekiya et al. 10.5194/amt-15-1703-2022
- Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations N. Schutgens 10.5194/acp-20-7473-2020
- An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al. 10.5194/amt-13-755-2020
- Anthropogenic NOx Emission Estimations over East China for 2015 and 2019 Using OMI Satellite Observations and the New Inverse Modeling System CIF-CHIMERE D. Savas et al. 10.3390/atmos14010154
- Calibrating a global atmospheric chemistry transport model using Gaussian process emulation and ground-level concentrations of ozone and carbon monoxide E. Ryan & O. Wild 10.5194/gmd-14-5373-2021
- Underestimation of column NO<sub>2</sub> amounts from the OMI satellite compared to diurnally varying ground-based retrievals from multiple PANDORA spectrometer instruments J. Herman et al. 10.5194/amt-12-5593-2019
- Algorithm theoretical baseline for formaldehyde retrievals from S5P TROPOMI and from the QA4ECV project I. De Smedt et al. 10.5194/amt-11-2395-2018
- 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
- An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. 10.3390/rs12122004
- Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng 10.1016/j.oneear.2024.08.019
- SO2 Emission Estimates Using OMI SO2 Retrievals for 2005–2017 Z. Qu et al. 10.1029/2019JD030243
- Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements W. Tang et al. 10.5194/amt-14-4639-2021
- Lightning NO<sub>2</sub> simulation over the contiguous US and its effects on satellite NO<sub>2</sub> retrievals Q. Zhu et al. 10.5194/acp-19-13067-2019
- The effect of recent controls on emissions and aerosol pollution at city scale: A case study for Nanjing, China Y. Zhao et al. 10.1016/j.atmosenv.2020.118080
- Quality Assurance Framework Development Based on Six New ECV Data Products to Enhance User Confidence for Climate Applications J. Nightingale et al. 10.3390/rs10081254
- Inverse modelling of Chinese NOx emissions using deep learning: integrating in situ observations with a satellite-based chemical reanalysis T. He et al. 10.5194/acp-22-14059-2022
- Trends and drivers of anthropogenic NO emissions in China since 2020 H. Li et al. 10.1016/j.ese.2024.100425
- Impacts of Horizontal Resolution on Global Data Assimilation of Satellite Measurements for Tropospheric Chemistry Analysis T. Sekiya et al. 10.1029/2020MS002180
- Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al. 10.5194/gmd-14-2939-2021
- Air Pollution Patterns Mapping of SO2, NO2, and CO Derived from TROPOMI over Central-East Europe B. Wieczorek 10.3390/rs15061565
- Validation of Aura-OMI QA4ECV NO<sub>2</sub> climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties S. Compernolle et al. 10.5194/acp-20-8017-2020
- The IASI NH3 version 4 product: averaging kernels and improved consistency L. Clarisse et al. 10.5194/amt-16-5009-2023
- Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument M. Cooper et al. 10.1088/1748-9326/aba3a5
- NOx Emissions Reduction and Rebound in China Due to the COVID‐19 Crisis J. Ding et al. 10.1029/2020GL089912
- Lightning NOx Emissions: Reconciling Measured and Modeled Estimates With Updated NOx Chemistry B. Nault et al. 10.1002/2017GL074436
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- Spatial Representativeness of Surface‐Measured Variations of Downward Solar Radiation M. Schwarz et al. 10.1002/2017JD027261
- Evaluating errors due to unresolved scales in convection‐permitting numerical weather prediction J. Waller et al. 10.1002/qj.4043
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- Assessment of a high-resolution NOX emission inventory using satellite observations: A case study of southern Jiangsu, China Y. Zhao et al. 10.1016/j.atmosenv.2018.07.029
- Multi-satellite sensor study on precipitation-induced emission pulses of NO<sub><i>x</i></sub> from soils in semi-arid ecosystems J. Zörner et al. 10.5194/acp-16-9457-2016
- Quantifying the diurnal variation in atmospheric NO2 from Geostationary Environment Monitoring Spectrometer (GEMS) observations D. Edwards et al. 10.5194/acp-24-8943-2024
- The Berkeley High Resolution Tropospheric NO<sub>2</sub> product J. Laughner et al. 10.5194/essd-10-2069-2018
- European NO<sub><i>x</i></sub> emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. 10.5194/acp-19-11821-2019
- Evaluating NOx stack plume emissions using a high-resolution atmospheric chemistry model and satellite-derived NO2 columns M. Krol et al. 10.5194/acp-24-8243-2024
- Structural uncertainty in air mass factor calculation for NO<sub>2</sub> and HCHO satellite retrievals A. Lorente et al. 10.5194/amt-10-759-2017
- Background nitrogen dioxide (NO2) over the United States and its implications for satellite observations and trends: effects of nitrate photolysis, aircraft, and open fires R. Dang et al. 10.5194/acp-23-6271-2023
- Evaluation of nitrogen oxides (NO<sub><i>x</i></sub>) sources and sinks and ozone production in Colombia and surrounding areas J. Barten et al. 10.5194/acp-20-9441-2020
- Ammonia emission estimates using CrIS satellite observations over Europe J. Ding et al. 10.5194/acp-24-10583-2024
- Quantifying burning efficiency in megacities using the NO2∕CO ratio from the Tropospheric Monitoring Instrument (TROPOMI) S. Lama et al. 10.5194/acp-20-10295-2020
- Temporal characteristics of atmospheric ammonia and nitrogen dioxide over China based on emission data, satellite observations and atmospheric transport modeling since 1980 L. Liu et al. 10.5194/acp-17-9365-2017
- NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al. 10.5194/acp-24-8139-2024
- Evaluating CHASER V4.0 global formaldehyde (HCHO) simulations using satellite, aircraft, and ground-based remote-sensing observations H. Hoque et al. 10.5194/gmd-17-5545-2024
- Evaluating a Space‐Based Indicator of Surface Ozone‐NOx‐VOC Sensitivity Over Midlatitude Source Regions and Application to Decadal Trends X. Jin et al. 10.1002/2017JD026720
- Updated SO<sub>2</sub> emission estimates over China using OMI/Aura observations M. Koukouli et al. 10.5194/amt-11-1817-2018
- Changes in the ozone chemical regime over the contiguous United States inferred by the inversion of NOx and VOC emissions using satellite observation J. Jung et al. 10.1016/j.atmosres.2022.106076
- On the spatio-temporal representativeness of observations N. Schutgens et al. 10.5194/acp-17-9761-2017
- Improving algorithms and uncertainty estimates for satellite NO<sub>2</sub> retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project K. Boersma et al. 10.5194/amt-11-6651-2018
- Effects of a priori profile shape assumptions on comparisons between satellite NO<sub>2</sub> columns and model simulations M. Cooper et al. 10.5194/acp-20-7231-2020
- On the representation error in data assimilation T. Janjić et al. 10.1002/qj.3130
- OMI tropospheric NO<sub>2</sub> profiles from cloud slicing: constraints on surface emissions, convective transport and lightning NO<sub><i>x</i></sub> M. Belmonte Rivas et al. 10.5194/acp-15-13519-2015
55 citations as recorded by crossref.
- Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO S. Lama et al. 10.5194/acp-22-16053-2022
- Evaluating the methods and influencing factors of satellite-derived estimates of NOX emissions at regional scale: A case study for Yangtze River Delta, China Y. Yang et al. 10.1016/j.atmosenv.2019.117051
- Reductions in nitrogen oxides over the Netherlands between 2005 and 2018 observed from space and on the ground: Decreasing emissions and increasing O3 indicate changing NOx chemistry M. Zara et al. 10.1016/j.aeaoa.2021.100104
- Substantial nitrogen oxides emission reduction from China due to COVID-19 and its impact on surface ozone and aerosol pollution Q. Zhang et al. 10.1016/j.scitotenv.2020.142238
- Global deposition of total reactive nitrogen oxides from 1996 to 2014 constrained with satellite observations of NO<sub>2</sub> columns J. Geddes & R. Martin 10.5194/acp-17-10071-2017
- Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
- A comparison of the impact of TROPOMI and OMI tropospheric NO<sub>2</sub> on global chemical data assimilation T. Sekiya et al. 10.5194/amt-15-1703-2022
- Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations N. Schutgens 10.5194/acp-20-7473-2020
- An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al. 10.5194/amt-13-755-2020
- Anthropogenic NOx Emission Estimations over East China for 2015 and 2019 Using OMI Satellite Observations and the New Inverse Modeling System CIF-CHIMERE D. Savas et al. 10.3390/atmos14010154
- Calibrating a global atmospheric chemistry transport model using Gaussian process emulation and ground-level concentrations of ozone and carbon monoxide E. Ryan & O. Wild 10.5194/gmd-14-5373-2021
- Underestimation of column NO<sub>2</sub> amounts from the OMI satellite compared to diurnally varying ground-based retrievals from multiple PANDORA spectrometer instruments J. Herman et al. 10.5194/amt-12-5593-2019
- Algorithm theoretical baseline for formaldehyde retrievals from S5P TROPOMI and from the QA4ECV project I. De Smedt et al. 10.5194/amt-11-2395-2018
- 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
- An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. 10.3390/rs12122004
- Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng 10.1016/j.oneear.2024.08.019
- SO2 Emission Estimates Using OMI SO2 Retrievals for 2005–2017 Z. Qu et al. 10.1029/2019JD030243
- Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements W. Tang et al. 10.5194/amt-14-4639-2021
- Lightning NO<sub>2</sub> simulation over the contiguous US and its effects on satellite NO<sub>2</sub> retrievals Q. Zhu et al. 10.5194/acp-19-13067-2019
- The effect of recent controls on emissions and aerosol pollution at city scale: A case study for Nanjing, China Y. Zhao et al. 10.1016/j.atmosenv.2020.118080
- Quality Assurance Framework Development Based on Six New ECV Data Products to Enhance User Confidence for Climate Applications J. Nightingale et al. 10.3390/rs10081254
- Inverse modelling of Chinese NOx emissions using deep learning: integrating in situ observations with a satellite-based chemical reanalysis T. He et al. 10.5194/acp-22-14059-2022
- Trends and drivers of anthropogenic NO emissions in China since 2020 H. Li et al. 10.1016/j.ese.2024.100425
- Impacts of Horizontal Resolution on Global Data Assimilation of Satellite Measurements for Tropospheric Chemistry Analysis T. Sekiya et al. 10.1029/2020MS002180
- Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al. 10.5194/gmd-14-2939-2021
- Air Pollution Patterns Mapping of SO2, NO2, and CO Derived from TROPOMI over Central-East Europe B. Wieczorek 10.3390/rs15061565
- Validation of Aura-OMI QA4ECV NO<sub>2</sub> climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties S. Compernolle et al. 10.5194/acp-20-8017-2020
- The IASI NH3 version 4 product: averaging kernels and improved consistency L. Clarisse et al. 10.5194/amt-16-5009-2023
- Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument M. Cooper et al. 10.1088/1748-9326/aba3a5
- NOx Emissions Reduction and Rebound in China Due to the COVID‐19 Crisis J. Ding et al. 10.1029/2020GL089912
- Lightning NOx Emissions: Reconciling Measured and Modeled Estimates With Updated NOx Chemistry B. Nault et al. 10.1002/2017GL074436
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- Spatial Representativeness of Surface‐Measured Variations of Downward Solar Radiation M. Schwarz et al. 10.1002/2017JD027261
- Evaluating errors due to unresolved scales in convection‐permitting numerical weather prediction J. Waller et al. 10.1002/qj.4043
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- Assessment of a high-resolution NOX emission inventory using satellite observations: A case study of southern Jiangsu, China Y. Zhao et al. 10.1016/j.atmosenv.2018.07.029
- Multi-satellite sensor study on precipitation-induced emission pulses of NO<sub><i>x</i></sub> from soils in semi-arid ecosystems J. Zörner et al. 10.5194/acp-16-9457-2016
- Quantifying the diurnal variation in atmospheric NO2 from Geostationary Environment Monitoring Spectrometer (GEMS) observations D. Edwards et al. 10.5194/acp-24-8943-2024
- The Berkeley High Resolution Tropospheric NO<sub>2</sub> product J. Laughner et al. 10.5194/essd-10-2069-2018
- European NO<sub><i>x</i></sub> emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. 10.5194/acp-19-11821-2019
- Evaluating NOx stack plume emissions using a high-resolution atmospheric chemistry model and satellite-derived NO2 columns M. Krol et al. 10.5194/acp-24-8243-2024
- Structural uncertainty in air mass factor calculation for NO<sub>2</sub> and HCHO satellite retrievals A. Lorente et al. 10.5194/amt-10-759-2017
- Background nitrogen dioxide (NO2) over the United States and its implications for satellite observations and trends: effects of nitrate photolysis, aircraft, and open fires R. Dang et al. 10.5194/acp-23-6271-2023
- Evaluation of nitrogen oxides (NO<sub><i>x</i></sub>) sources and sinks and ozone production in Colombia and surrounding areas J. Barten et al. 10.5194/acp-20-9441-2020
- Ammonia emission estimates using CrIS satellite observations over Europe J. Ding et al. 10.5194/acp-24-10583-2024
- Quantifying burning efficiency in megacities using the NO2∕CO ratio from the Tropospheric Monitoring Instrument (TROPOMI) S. Lama et al. 10.5194/acp-20-10295-2020
- Temporal characteristics of atmospheric ammonia and nitrogen dioxide over China based on emission data, satellite observations and atmospheric transport modeling since 1980 L. Liu et al. 10.5194/acp-17-9365-2017
- NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al. 10.5194/acp-24-8139-2024
- Evaluating CHASER V4.0 global formaldehyde (HCHO) simulations using satellite, aircraft, and ground-based remote-sensing observations H. Hoque et al. 10.5194/gmd-17-5545-2024
- Evaluating a Space‐Based Indicator of Surface Ozone‐NOx‐VOC Sensitivity Over Midlatitude Source Regions and Application to Decadal Trends X. Jin et al. 10.1002/2017JD026720
- Updated SO<sub>2</sub> emission estimates over China using OMI/Aura observations M. Koukouli et al. 10.5194/amt-11-1817-2018
- Changes in the ozone chemical regime over the contiguous United States inferred by the inversion of NOx and VOC emissions using satellite observation J. Jung et al. 10.1016/j.atmosres.2022.106076
- On the spatio-temporal representativeness of observations N. Schutgens et al. 10.5194/acp-17-9761-2017
- Improving algorithms and uncertainty estimates for satellite NO<sub>2</sub> retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project K. Boersma et al. 10.5194/amt-11-6651-2018
- Effects of a priori profile shape assumptions on comparisons between satellite NO<sub>2</sub> columns and model simulations M. Cooper et al. 10.5194/acp-20-7231-2020
2 citations as recorded by crossref.
- On the representation error in data assimilation T. Janjić et al. 10.1002/qj.3130
- OMI tropospheric NO<sub>2</sub> profiles from cloud slicing: constraints on surface emissions, convective transport and lightning NO<sub><i>x</i></sub> M. Belmonte Rivas et al. 10.5194/acp-15-13519-2015
Saved (final revised paper)
Saved (preprint)
Latest update: 13 Dec 2024
Short summary
Satellite measurements of pollutants and greenhouse gases are useful to test and improve atmospheric models. But this requires that modellers account for the spatial and temporal representativeness and the vertical sensitivity of the satellite measurements. This paper provides guidelines on how to carry out a faithful model-satellite comparison for species such as nitrogen dioxide, sulfur dioxide, and formaldehyde that play a key role in air pollution studies.
Satellite measurements of pollutants and greenhouse gases are useful to test and improve...
