Articles | Volume 11, issue 22
https://doi.org/10.5194/acp-11-11647-2011
© Author(s) 2011. 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-11-11647-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Effects of model resolution on the interpretation of satellite NO2 observations
L. C. Valin
College of Chemistry, University of California Berkeley, Berkeley, CA 94720, USA
A. R. Russell
College of Chemistry, University of California Berkeley, Berkeley, CA 94720, USA
R. C. Hudman
College of Chemistry, University of California Berkeley, Berkeley, CA 94720, USA
now at: Environmental Protection Agency, Region 9, San Francisco, CA 94105, USA
R. C. Cohen
College 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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112 citations as recorded by crossref.
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- Satellite constraints of nitrogen oxide (NOx) emissions from India based on OMI observations and WRF‐Chem simulations S. Ghude et al. 10.1002/grl.50065
- Air quality in the mid-21st century for the city of Paris under two climate scenarios; from the regional to local scale K. Markakis et al. 10.5194/acp-14-7323-2014
- Influence of model grid resolution on NO2 vertical column densities over East Asia K. Yamaji et al. 10.1080/10962247.2013.827603
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- Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
- Photochemical model assessment of single source NO2 and O3 plumes using field study data K. Baker et al. 10.1016/j.scitotenv.2023.166606
- 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
- Characterization of errors in satellite-based HCHO ∕ NO2 tropospheric column ratios with respect to chemistry, column-to-PBL translation, spatial representation, and retrieval uncertainties A. Souri et al. 10.5194/acp-23-1963-2023
- Advances in Simulating the Global Spatial Heterogeneity of Air Quality and Source Sector Contributions: Insights into the Global South D. Zhang et al. 10.1021/acs.est.2c07253
- Modeling uncertainties for tropospheric nitrogen dioxide columns affecting satellite-based inverse modeling of nitrogen oxides emissions J. Lin et al. 10.5194/acp-12-12255-2012
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- Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis Z. Qu et al. 10.1002/2016JD025852
- Balance of Emission and Dynamical Controls on Ozone During the Korea‐United States Air Quality Campaign From Multiconstituent Satellite Data Assimilation K. Miyazaki et al. 10.1029/2018JD028912
- Comprehensive evaluations of diurnal NO<sub>2</sub> measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NO<sub><i>x</i></sub> emissions J. Li et al. 10.5194/acp-21-11133-2021
- 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
- Effect of changing NO<sub><i>x</i></sub> lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO<sub>2</sub> columns over China V. Shah et al. 10.5194/acp-20-1483-2020
- Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model L. Bindle et al. 10.5194/gmd-14-5977-2021
- Evaluation of OMI operational standard NO<sub>2</sub> column retrievals using in situ and surface-based NO<sub>2</sub> observations L. Lamsal et al. 10.5194/acp-14-11587-2014
- Dominant role of emission reduction in PM<sub>2.5</sub> air quality improvement in Beijing during 2013–2017: a model-based decomposition analysis J. Cheng et al. 10.5194/acp-19-6125-2019
- Decadal changes in global surface NO<sub><i>x</i></sub> emissions from multi-constituent satellite data assimilation K. Miyazaki et al. 10.5194/acp-17-807-2017
- Rapid growth in nitrogen dioxide pollution over Western China, 2005–2013 Y. Cui et al. 10.5194/acp-16-6207-2016
- Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons A. Souri et al. 10.5194/amt-15-41-2022
- Growth in NO<sub>x</sub> emissions from power plants in China: bottom-up estimates and satellite observations S. Wang et al. 10.5194/acp-12-4429-2012
- Increase in NOx Emissions from Indian Thermal Power Plants during 1996–2010: Unit-Based Inventories and Multisatellite Observations Z. Lu & D. Streets 10.1021/es300831w
- The Dawn of Geostationary Air Quality Monitoring: Case Studies From Seoul and Los Angeles L. Judd et al. 10.3389/fenvs.2018.00085
- Quantifying NOx emissions in Egypt using TROPOMI observations A. Rey-Pommier et al. 10.5194/acp-22-11505-2022
- Assimilation of satellite NO<sub>2</sub> observations at high spatial resolution using OSSEs X. Liu et al. 10.5194/acp-17-7067-2017
- 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
- Emissions estimation from satellite retrievals: A review of current capability D. Streets et al. 10.1016/j.atmosenv.2013.05.051
- CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data A. Fortems-Cheiney et al. 10.5194/acp-24-4635-2024
- Implementation and evaluation of online gas-phase chemistry within a regional climate model (RegCM-CHEM4) A. Shalaby et al. 10.5194/gmd-5-741-2012
- Model evaluation of methods for estimating surface emissions and chemical lifetimes from satellite data B. de Foy et al. 10.1016/j.atmosenv.2014.08.051
- Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations J. East et al. 10.5194/acp-22-15981-2022
- Evaluation of modeling NO<sub>2</sub> concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China F. Liu et al. 10.5194/acp-18-4171-2018
- Assessment of Airport-Related Emissions and Their Impact on Air Quality in Atlanta, GA, Using CMAQ and TROPOMI A. Lawal et al. 10.1021/acs.est.1c03388
- Estimations of NOxemissions, NO2lifetime and their temporal variation over three British urbanised regions in 2019 using TROPOMI NO2observations M. Pommier 10.1039/D2EA00086E
- Changes in air quality and human mobility in the USA during the COVID-19 pandemic C. Archer et al. 10.1007/s42865-020-00019-0
- Impact of nesting resolution jump on dynamical downscaling ozone concentrations over Belgium D. Lauwaet et al. 10.1016/j.atmosenv.2012.10.034
- High-resolution (0.05° × 0.05°) NO<sub><i>x</i></sub> emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
- 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
- Fine-Scale Columnar and Surface NOx Concentrations over South Korea: Comparison of Surface Monitors, TROPOMI, CMAQ and CAPSS Inventory H. Kim et al. 10.3390/atmos11010101
- Climate-forced air-quality modeling at the urban scale: sensitivity to model resolution, emissions and meteorology K. Markakis et al. 10.5194/acp-15-7703-2015
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