Articles | Volume 8, issue 24
https://doi.org/10.5194/acp-8-7353-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-8-7353-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
11 Dec 2008
Using 3DVAR data assimilation system to improve ozone simulations in the Mexico City basin
N. Bei
Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
Molina Center for Energy and the Environment, La Jolla, CA, USA
B. de Foy
Molina Center for Energy and the Environment, La Jolla, CA, USA
Saint Louis University, Saint Louis, MO, USA
W. Lei
Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
Molina Center for Energy and the Environment, La Jolla, CA, USA
M. Zavala
Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
Molina Center for Energy and the Environment, La Jolla, CA, USA
L. T. Molina
Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
Molina Center for Energy and the Environment, La Jolla, CA, USA
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Cited
34 citations as recorded by crossref.
- Simulations of organic aerosol concentrations in Mexico City using the WRF-CHEM model during the MCMA-2006/MILAGRO campaign G. Li et al. https://doi.org/10.5194/acp-11-3789-2011
- Assimilating compact phase space retrievals of atmospheric composition with WRF-Chem/DART: a regional chemical transport/ensemble Kalman filter data assimilation system A. Mizzi et al. https://doi.org/10.5194/gmd-9-965-2016
- Impacts of sea-land and mountain-valley circulations on the air pollution in Beijing-Tianjin-Hebei (BTH): A case study N. Bei et al. https://doi.org/10.1016/j.envpol.2017.11.066
- Uncertainties in SOA simulations due to meteorological uncertainties in Mexico City during MILAGRO-2006 field campaign N. Bei et al. https://doi.org/10.5194/acp-12-11295-2012
- Ozone predictabilities due to meteorological uncertainties in the Mexico City basin using ensemble forecasts N. Bei et al. https://doi.org/10.5194/acp-10-6295-2010
- Simulation of regional dust and its effect on photochemistry in the Mexico City area during MILAGRO experiment Z. Ying et al. https://doi.org/10.1016/j.atmosenv.2011.02.018
- ANALYSIS AND QUANTIFICATION OF DATA ASSIMILATION BASED ON SEQUENTIAL MONTE CARLO METHODS FOR WILDFIRE SPREAD SIMULATION F. GU & X. HU https://doi.org/10.1142/S1793962310000298
- Chemical Data Assimilation—An Overview A. Sandu & T. Chai https://doi.org/10.3390/atmos2030426
- An overview of the MILAGRO 2006 Campaign: Mexico City emissions and their transport and transformation L. Molina et al. https://doi.org/10.5194/acp-10-8697-2010
- Data assimilation using sequential monte carlo methods in wildfire spread simulation H. Xue et al. https://doi.org/10.1145/2379810.2379816
- Evaluation of WRF mesoscale simulations and particle trajectory analysis for the MILAGRO field campaign B. de Foy et al. https://doi.org/10.5194/acp-9-4419-2009
- Time-resolved Analysis of Ozone Precursor Influx Using Box Model-based Data Assimilation Techniques J. Kim et al. https://doi.org/10.5572/KOSAE.2025.41.3.482
- Impacts of local circulations on the wintertime air pollution in the Guanzhong Basin, China N. Bei et al. https://doi.org/10.1016/j.scitotenv.2017.02.151
- Human settlement, civil engineering and silk road – Xi’an Jiaotong University, 120-year anniversary C. Yu https://doi.org/10.1177/1420326X16648425
- Spatial assessment of air resources in China from 2013 to 2017 N. Zhang et al. https://doi.org/10.1016/j.scitotenv.2018.12.129
- Current Status and Development of Modeling Techniques for Forecasting and Monitoring of Air Quality over East Asia R. Park et al. https://doi.org/10.5572/KOSAE.2013.29.4.407
- Impacts of using an ensemble Kalman filter on air quality simulations along the California–Mexico border region during Cal–Mex 2010 Field Campaign N. Bei et al. https://doi.org/10.1016/j.scitotenv.2014.07.121
- Typical synoptic situations and their impacts on the wintertime air pollution in the Guanzhong basin, China N. Bei et al. https://doi.org/10.5194/acp-16-7373-2016
- Evaluating simulated primary anthropogenic and biomass burning organic aerosols during MILAGRO: implications for assessing treatments of secondary organic aerosols J. Fast et al. https://doi.org/10.5194/acp-9-6191-2009
- The role of observation nudging in high-resolution simulations of the 2016 Tunisian dust storm event H. Snoun et al. https://doi.org/10.1007/s41207-024-00629-6
- Ozone formation along the California–Mexican border region during Cal–Mex 2010 field campaign G. Li et al. https://doi.org/10.1016/j.atmosenv.2013.11.067
- Summertime ozone formation in Xi'an and surrounding areas, China T. Feng et al. https://doi.org/10.5194/acp-16-4323-2016
- Effect of Meteorological Data Assimilation on Regional Air Quality Forecasts over the Korean Peninsula Y. Cho et al. https://doi.org/10.1007/s13351-024-3152-8
- Effect of meteorological data assimilation using 3DVAR on high-resolution simulations of atmospheric CO2 concentrations in East Asia M. Seo & H. Kim https://doi.org/10.1016/j.apr.2023.101759
- Critical role of meteorological conditions in a persistent haze episode in the Guanzhong basin, China N. Bei et al. https://doi.org/10.1016/j.scitotenv.2015.12.159
- Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study N. Bei et al. https://doi.org/10.5194/acp-17-14579-2017
- Simulations of organic aerosol concentrations during springtime in the Guanzhong Basin, China T. Feng et al. https://doi.org/10.5194/acp-16-10045-2016
- Impacts of HONO sources on the photochemistry in Mexico City during the MCMA-2006/MILAGO Campaign G. Li et al. https://doi.org/10.5194/acp-10-6551-2010
- Worsening summertime ozone pollution in the Guanzhong Basin, China from 2014 to 2018: Impacts of synoptic conditions and anthropogenic emissions N. Bei et al. https://doi.org/10.1016/j.atmosenv.2022.118974
- Contribution of garbage burning to chloride and PM2.5 in Mexico City G. Li et al. https://doi.org/10.5194/acp-12-8751-2012
- Fast Data-Obtaining Algorithm for Data Assimilation with Large Data Set J. Xiao et al. https://doi.org/10.1007/s10766-019-00653-y
- Building occupancy simulation and data assimilation using a graph-based agent-oriented model S. Rai & X. Hu https://doi.org/10.1016/j.physa.2018.02.051
- Variational chemical data assimilation with approximate adjoints K. Singh & A. Sandu https://doi.org/10.1016/j.cageo.2011.07.003
- Study on CO 2 concentration assimilation by integrating a multi-source satellite fusion dataset based on the WRF-Chem model W. Liu et al. https://doi.org/10.1080/01431161.2026.2612845
34 citations as recorded by crossref.
- Simulations of organic aerosol concentrations in Mexico City using the WRF-CHEM model during the MCMA-2006/MILAGRO campaign G. Li et al. https://doi.org/10.5194/acp-11-3789-2011
- Assimilating compact phase space retrievals of atmospheric composition with WRF-Chem/DART: a regional chemical transport/ensemble Kalman filter data assimilation system A. Mizzi et al. https://doi.org/10.5194/gmd-9-965-2016
- Impacts of sea-land and mountain-valley circulations on the air pollution in Beijing-Tianjin-Hebei (BTH): A case study N. Bei et al. https://doi.org/10.1016/j.envpol.2017.11.066
- Uncertainties in SOA simulations due to meteorological uncertainties in Mexico City during MILAGRO-2006 field campaign N. Bei et al. https://doi.org/10.5194/acp-12-11295-2012
- Ozone predictabilities due to meteorological uncertainties in the Mexico City basin using ensemble forecasts N. Bei et al. https://doi.org/10.5194/acp-10-6295-2010
- Simulation of regional dust and its effect on photochemistry in the Mexico City area during MILAGRO experiment Z. Ying et al. https://doi.org/10.1016/j.atmosenv.2011.02.018
- ANALYSIS AND QUANTIFICATION OF DATA ASSIMILATION BASED ON SEQUENTIAL MONTE CARLO METHODS FOR WILDFIRE SPREAD SIMULATION F. GU & X. HU https://doi.org/10.1142/S1793962310000298
- Chemical Data Assimilation—An Overview A. Sandu & T. Chai https://doi.org/10.3390/atmos2030426
- An overview of the MILAGRO 2006 Campaign: Mexico City emissions and their transport and transformation L. Molina et al. https://doi.org/10.5194/acp-10-8697-2010
- Data assimilation using sequential monte carlo methods in wildfire spread simulation H. Xue et al. https://doi.org/10.1145/2379810.2379816
- Evaluation of WRF mesoscale simulations and particle trajectory analysis for the MILAGRO field campaign B. de Foy et al. https://doi.org/10.5194/acp-9-4419-2009
- Time-resolved Analysis of Ozone Precursor Influx Using Box Model-based Data Assimilation Techniques J. Kim et al. https://doi.org/10.5572/KOSAE.2025.41.3.482
- Impacts of local circulations on the wintertime air pollution in the Guanzhong Basin, China N. Bei et al. https://doi.org/10.1016/j.scitotenv.2017.02.151
- Human settlement, civil engineering and silk road – Xi’an Jiaotong University, 120-year anniversary C. Yu https://doi.org/10.1177/1420326X16648425
- Spatial assessment of air resources in China from 2013 to 2017 N. Zhang et al. https://doi.org/10.1016/j.scitotenv.2018.12.129
- Current Status and Development of Modeling Techniques for Forecasting and Monitoring of Air Quality over East Asia R. Park et al. https://doi.org/10.5572/KOSAE.2013.29.4.407
- Impacts of using an ensemble Kalman filter on air quality simulations along the California–Mexico border region during Cal–Mex 2010 Field Campaign N. Bei et al. https://doi.org/10.1016/j.scitotenv.2014.07.121
- Typical synoptic situations and their impacts on the wintertime air pollution in the Guanzhong basin, China N. Bei et al. https://doi.org/10.5194/acp-16-7373-2016
- Evaluating simulated primary anthropogenic and biomass burning organic aerosols during MILAGRO: implications for assessing treatments of secondary organic aerosols J. Fast et al. https://doi.org/10.5194/acp-9-6191-2009
- The role of observation nudging in high-resolution simulations of the 2016 Tunisian dust storm event H. Snoun et al. https://doi.org/10.1007/s41207-024-00629-6
- Ozone formation along the California–Mexican border region during Cal–Mex 2010 field campaign G. Li et al. https://doi.org/10.1016/j.atmosenv.2013.11.067
- Summertime ozone formation in Xi'an and surrounding areas, China T. Feng et al. https://doi.org/10.5194/acp-16-4323-2016
- Effect of Meteorological Data Assimilation on Regional Air Quality Forecasts over the Korean Peninsula Y. Cho et al. https://doi.org/10.1007/s13351-024-3152-8
- Effect of meteorological data assimilation using 3DVAR on high-resolution simulations of atmospheric CO2 concentrations in East Asia M. Seo & H. Kim https://doi.org/10.1016/j.apr.2023.101759
- Critical role of meteorological conditions in a persistent haze episode in the Guanzhong basin, China N. Bei et al. https://doi.org/10.1016/j.scitotenv.2015.12.159
- Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study N. Bei et al. https://doi.org/10.5194/acp-17-14579-2017
- Simulations of organic aerosol concentrations during springtime in the Guanzhong Basin, China T. Feng et al. https://doi.org/10.5194/acp-16-10045-2016
- Impacts of HONO sources on the photochemistry in Mexico City during the MCMA-2006/MILAGO Campaign G. Li et al. https://doi.org/10.5194/acp-10-6551-2010
- Worsening summertime ozone pollution in the Guanzhong Basin, China from 2014 to 2018: Impacts of synoptic conditions and anthropogenic emissions N. Bei et al. https://doi.org/10.1016/j.atmosenv.2022.118974
- Contribution of garbage burning to chloride and PM2.5 in Mexico City G. Li et al. https://doi.org/10.5194/acp-12-8751-2012
- Fast Data-Obtaining Algorithm for Data Assimilation with Large Data Set J. Xiao et al. https://doi.org/10.1007/s10766-019-00653-y
- Building occupancy simulation and data assimilation using a graph-based agent-oriented model S. Rai & X. Hu https://doi.org/10.1016/j.physa.2018.02.051
- Variational chemical data assimilation with approximate adjoints K. Singh & A. Sandu https://doi.org/10.1016/j.cageo.2011.07.003
- Study on CO 2 concentration assimilation by integrating a multi-source satellite fusion dataset based on the WRF-Chem model W. Liu et al. https://doi.org/10.1080/01431161.2026.2612845
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