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Geoscientific Model Development
An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 2
Geosci. Model Dev., 9, 875–898, 2016
https://doi.org/10.5194/gmd-9-875-2016
© Author(s) 2016. This work is distributed under
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.
Geosci. Model Dev., 9, 875–898, 2016
https://doi.org/10.5194/gmd-9-875-2016
© Author(s) 2016. This work is distributed under
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.
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
K. F. Boersma et al.
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Cited
29 citations as recorded by crossref.
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- 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
- Lightning NO x Emissions: Reconciling Measured and Modeled Estimates With Updated NO x 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
- 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
- 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
- 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
- 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
- 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
- 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
- An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. 10.3390/rs12122004
- 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
- SO 2 Emission Estimates Using OMI SO 2 Retrievals for 2005–2017 Z. Qu et al. 10.1029/2019JD030243
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- OMI/Aura UV product validation using NILU-UV ground-based measurements in Thessaloniki, Greece M. Zempila et al. 10.1016/j.atmosenv.2016.06.009
- 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
26 citations as recorded by crossref.
- 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
- 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
- Lightning NO x Emissions: Reconciling Measured and Modeled Estimates With Updated NO x 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
- 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
- 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
- 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
- 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
- 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
- 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
- An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. 10.3390/rs12122004
- 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
- SO 2 Emission Estimates Using OMI SO 2 Retrievals for 2005–2017 Z. Qu et al. 10.1029/2019JD030243
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
3 citations as recorded by crossref.
- OMI/Aura UV product validation using NILU-UV ground-based measurements in Thessaloniki, Greece M. Zempila et al. 10.1016/j.atmosenv.2016.06.009
- 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
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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...
Geoscientific Model Development
An interactive open-access journal of the European Geosciences Union
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