Articles | Volume 10, issue 4
https://doi.org/10.5194/essd-10-2069-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-10-2069-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The Berkeley High Resolution Tropospheric NO2 product
Joshua L. Laughner
Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA
now at: Department of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA
Qindan Zhu
Department of Earth and Planetary Sciences, University of California, Berkeley, Berkeley, CA 94720, USA
Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA
Department of Earth and Planetary Sciences, University of California, Berkeley, Berkeley, CA 94720, USA
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Cited
27 citations as recorded by crossref.
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- An inversion of NO<sub><i>x</i></sub> and non-methane volatile organic compound (NMVOC) emissions using satellite observations during the KORUS-AQ campaign and implications for surface ozone over East Asia A. Souri et al. 10.5194/acp-20-9837-2020
- Mobile-platform measurement of air pollutant concentrations in California: performance assessment, statistical methods for evaluating spatial variations, and spatial representativeness P. Solomon et al. 10.5194/amt-13-3277-2020
- Direct estimates of biomass burning NO<sub><i>x</i></sub> emissions and lifetimes using daily observations from TROPOMI X. Jin et al. 10.5194/acp-21-15569-2021
- Natural gas flaring, respiratory health, and distributional effects W. Blundell & A. Kokoza 10.1016/j.jpubeco.2022.104601
- Estimate of OH trends over one decade in North American cities Q. Zhu et al. 10.1073/pnas.2117399119
- Evaluating the impact of spatial resolution on tropospheric NO<sub>2</sub> column comparisons within urban areas using high-resolution airborne data L. Judd et al. 10.5194/amt-12-6091-2019
- Direct Retrieval of NO 2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network C. Li et al. 10.34133/2022/9817134
- Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: impacts of COVID-19 pandemic lockdown S. Wang et al. 10.5194/acp-21-7199-2021
- 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
- Ozone and Nitrogen Dioxide Pollution in a Coastal Urban Environment: The Role of Sea Breezes, and Implications of Their Representation for Remote Sensing of Local Air Quality J. Geddes et al. 10.1029/2021JD035314
- Evaluation of version 3.0B of the BEHR OMI NO<sub>2</sub> product J. Laughner et al. 10.5194/amt-12-129-2019
- New Insights Into the Role of Atmospheric Transport and Mixing on Column and Surface Concentrations of NO2 at a Coastal Urban Site T. Adams et al. 10.1029/2022JD038237
- New observations of NO<sub>2</sub> in the upper troposphere from TROPOMI E. Marais et al. 10.5194/amt-14-2389-2021
- 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
- Inferring the anthropogenic NO<sub><i>x</i></sub> emission trend over the United States during 2003–2017 from satellite observations: was there a flattening of the emission trend after the Great Recession? J. Li & Y. Wang 10.5194/acp-19-15339-2019
- Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons A. Souri et al. 10.5194/amt-15-41-2022
- Using satellite observations of tropospheric NO<sub>2</sub> columns to infer long-term trends in US NO<sub><i>x</i></sub> emissions: the importance of accounting for the free tropospheric NO<sub>2</sub> background R. Silvern et al. 10.5194/acp-19-8863-2019
- Combining Machine Learning and Satellite Observations to Predict Spatial and Temporal Variation of near Surface OH in North American Cities Q. Zhu et al. 10.1021/acs.est.1c05636
- Direct observation of changing NO x lifetime in North American cities J. Laughner & R. Cohen 10.1126/science.aax6832
- Observing U.S. Regional Variability in Lightning NO2 Production Rates J. Lapierre et al. 10.1029/2019JD031362
- Estimates of lightning NO<sub><i>x</i></sub> production based on high-resolution OMI NO<sub>2</sub> retrievals over the continental US X. Zhang et al. 10.5194/amt-13-1709-2020
- Space-Based Observations of Ozone Precursors within California Wildfire Plumes and the Impacts on Ozone-NOx-VOC Chemistry X. Jin et al. 10.1021/acs.est.3c04411
- Observations of Lightning NOx Production From GOES‐R Post Launch Test Field Campaign Flights D. Allen et al. 10.1029/2020JD033769
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- The changing role of organic nitrates in the removal and transport of NO<sub><i>x</i></sub> P. Romer Present et al. 10.5194/acp-20-267-2020
- Improved Satellite Retrieval of Tropospheric NO2 Column Density via Updating of Air Mass Factor (AMF): Case Study of Southern China H. Mak et al. 10.3390/rs10111789
26 citations as recorded by crossref.
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- An inversion of NO<sub><i>x</i></sub> and non-methane volatile organic compound (NMVOC) emissions using satellite observations during the KORUS-AQ campaign and implications for surface ozone over East Asia A. Souri et al. 10.5194/acp-20-9837-2020
- Mobile-platform measurement of air pollutant concentrations in California: performance assessment, statistical methods for evaluating spatial variations, and spatial representativeness P. Solomon et al. 10.5194/amt-13-3277-2020
- Direct estimates of biomass burning NO<sub><i>x</i></sub> emissions and lifetimes using daily observations from TROPOMI X. Jin et al. 10.5194/acp-21-15569-2021
- Natural gas flaring, respiratory health, and distributional effects W. Blundell & A. Kokoza 10.1016/j.jpubeco.2022.104601
- Estimate of OH trends over one decade in North American cities Q. Zhu et al. 10.1073/pnas.2117399119
- Evaluating the impact of spatial resolution on tropospheric NO<sub>2</sub> column comparisons within urban areas using high-resolution airborne data L. Judd et al. 10.5194/amt-12-6091-2019
- Direct Retrieval of NO 2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network C. Li et al. 10.34133/2022/9817134
- Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: impacts of COVID-19 pandemic lockdown S. Wang et al. 10.5194/acp-21-7199-2021
- 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
- Ozone and Nitrogen Dioxide Pollution in a Coastal Urban Environment: The Role of Sea Breezes, and Implications of Their Representation for Remote Sensing of Local Air Quality J. Geddes et al. 10.1029/2021JD035314
- Evaluation of version 3.0B of the BEHR OMI NO<sub>2</sub> product J. Laughner et al. 10.5194/amt-12-129-2019
- New Insights Into the Role of Atmospheric Transport and Mixing on Column and Surface Concentrations of NO2 at a Coastal Urban Site T. Adams et al. 10.1029/2022JD038237
- New observations of NO<sub>2</sub> in the upper troposphere from TROPOMI E. Marais et al. 10.5194/amt-14-2389-2021
- 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
- Inferring the anthropogenic NO<sub><i>x</i></sub> emission trend over the United States during 2003–2017 from satellite observations: was there a flattening of the emission trend after the Great Recession? J. Li & Y. Wang 10.5194/acp-19-15339-2019
- Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons A. Souri et al. 10.5194/amt-15-41-2022
- Using satellite observations of tropospheric NO<sub>2</sub> columns to infer long-term trends in US NO<sub><i>x</i></sub> emissions: the importance of accounting for the free tropospheric NO<sub>2</sub> background R. Silvern et al. 10.5194/acp-19-8863-2019
- Combining Machine Learning and Satellite Observations to Predict Spatial and Temporal Variation of near Surface OH in North American Cities Q. Zhu et al. 10.1021/acs.est.1c05636
- Direct observation of changing NO x lifetime in North American cities J. Laughner & R. Cohen 10.1126/science.aax6832
- Observing U.S. Regional Variability in Lightning NO2 Production Rates J. Lapierre et al. 10.1029/2019JD031362
- Estimates of lightning NO<sub><i>x</i></sub> production based on high-resolution OMI NO<sub>2</sub> retrievals over the continental US X. Zhang et al. 10.5194/amt-13-1709-2020
- Space-Based Observations of Ozone Precursors within California Wildfire Plumes and the Impacts on Ozone-NOx-VOC Chemistry X. Jin et al. 10.1021/acs.est.3c04411
- Observations of Lightning NOx Production From GOES‐R Post Launch Test Field Campaign Flights D. Allen et al. 10.1029/2020JD033769
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- The changing role of organic nitrates in the removal and transport of NO<sub><i>x</i></sub> P. Romer Present et al. 10.5194/acp-20-267-2020
Latest update: 10 Oct 2024
Short summary
This paper describes the upgrade of the BErkeley High Resolution (BEHR) NO2 retrieval from versions 2.1C to 3.0B. This retrieval measures NO2 over the continental US using input data at higher spatial and temporal resolution than global retrievals. We analyze how each part of the upgrade affected the measured NO2. Most interestingly, we find that using NO2 profiles at daily (rather than monthly) time resolution does lead to differences in multi-month averages for regions affected by lightning.
This paper describes the upgrade of the BErkeley High Resolution (BEHR) NO2 retrieval from...
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