Articles | Volume 16, issue 23
https://doi.org/10.5194/acp-16-15247-2016
© 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/acp-16-15247-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Effects of daily meteorology on the interpretation of space-based remote sensing of NO2
Joshua L. Laughner
Department of Chemistry, University of California, Berkeley, Berkeley, CA, USA
Azimeh Zare
Department of Chemistry, University of California, Berkeley, Berkeley, CA, USA
Department of Chemistry, University of California, Berkeley, Berkeley, CA, USA
Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA, USA
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44 citations as recorded by crossref.
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- Evaluation of version 3.0B of the BEHR OMI NO<sub>2</sub> product J. Laughner et al. 10.5194/amt-12-129-2019
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- A high-resolution and observationally constrained OMI NO<sub>2</sub> satellite retrieval D. Goldberg et al. 10.5194/acp-17-11403-2017
- Large discrepancy between observed and modeled wintertime tropospheric NO2 variabilities due to COVID-19 controls in China J. Chen et al. 10.1088/1748-9326/ac4ec0
- Quantification of the effect of modeled lightning NO<sub>2</sub> on UV–visible air mass factors J. Laughner & R. Cohen 10.5194/amt-10-4403-2017
- High resolution satellite observations give new view of UK air quality R. Pope et al. 10.1002/wea.3441
- 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
- Informing Near-Airport Satellite NO2 Retrievals Using Pandora Sky-Scanning Observations A. Mouat et al. 10.1021/acsestair.4c00158
- The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction X. Liu et al. 10.5194/acp-21-9573-2021
- Global fine-scale changes in ambient NO2 during COVID-19 lockdowns M. Cooper et al. 10.1038/s41586-021-04229-0
- Validation of tropospheric NO<sub>2</sub> column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. 10.5194/amt-13-6141-2020
- Detection of Strong NOX Emissions from Fine-scale Reconstruction of the OMI Tropospheric NO2 Product J. Lee et al. 10.3390/rs11161861
- TROPOMI NO2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
- A top-down assessment using OMI NO<sub>2</sub> suggests an underestimate in the NO<sub><i>x</i></sub> emissions inventory in Seoul, South Korea, during KORUS-AQ D. Goldberg et al. 10.5194/acp-19-1801-2019
- 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
- Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis Z. Qu et al. 10.1002/2016JD025852
- 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
- A new TROPOMI product for tropospheric NO<sub>2</sub> columns over East Asia with explicit aerosol corrections M. Liu et al. 10.5194/amt-13-4247-2020
- Wind Speed Downscaling of the WRF Model at Subkilometer Scale in Complex Terrain for Wind Power Applications F. Paola et al. 10.1109/JSTARS.2024.3386629
- Assessment of NO<sub>2</sub> observations during DISCOVER-AQ and KORUS-AQ field campaigns S. Choi et al. 10.5194/amt-13-2523-2020
- The IAGOS NO<sub><i>x</i></sub> instrument – design, operation and first results from deployment aboard passenger aircraft F. Berkes et al. 10.5194/amt-11-3737-2018
- 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
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- The Berkeley High Resolution Tropospheric NO<sub>2</sub> product J. Laughner et al. 10.5194/essd-10-2069-2018
- Assimilation of satellite NO<sub>2</sub> observations at high spatial resolution using OSSEs X. Liu et al. 10.5194/acp-17-7067-2017
- Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia Z. Qu et al. 10.1029/2021GL096009
- Space-based NO<sub><i>x</i></sub> emission estimates over remote regions improved in DECSO J. Ding et al. 10.5194/amt-10-925-2017
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Latest update: 23 Nov 2024
Short summary
Satellite measurements of the atmosphere provide global information on pollutants that play an important role in air quality. These measurements require assumed knowledge about the vertical profile of these pollutants, which are often simulated at coarse resolution in space and time. We find that simulating these inputs with better spatial and temporal resolution alters individual measurements by up to 40 % and the average measurement by up to 13 %, and increases derived emissions by up to 100 %.
Satellite measurements of the atmosphere provide global information on pollutants that play an...
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