Articles | Volume 7, issue 1
https://doi.org/10.5194/gmd-7-283-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-283-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model evaluation paper
| 
13 Feb 2014
Model evaluation paper |
| 13 Feb 2014
Regional scale ozone data assimilation using an ensemble Kalman filter and the CHIMERE chemical transport model
B. Gaubert
LISA, CNRS/INSU UMR7583, Université Paris-Est Créteil et Université Paris Diderot, Institut Pierre Simon Laplace, 94010 Créteil, France
A. Coman
LISA, CNRS/INSU UMR7583, Université Paris-Est Créteil et Université Paris Diderot, Institut Pierre Simon Laplace, 94010 Créteil, France
G. Foret
LISA, CNRS/INSU UMR7583, Université Paris-Est Créteil et Université Paris Diderot, Institut Pierre Simon Laplace, 94010 Créteil, France
F. Meleux
Institut National de l'Environnement Industriel et des Risques, INERIS, Parc Technologique ALATA-B.P. No. 2, 60550 Verneuil en Halatte, France
A. Ung
Institut National de l'Environnement Industriel et des Risques, INERIS, Parc Technologique ALATA-B.P. No. 2, 60550 Verneuil en Halatte, France
L. Rouil
Institut National de l'Environnement Industriel et des Risques, INERIS, Parc Technologique ALATA-B.P. No. 2, 60550 Verneuil en Halatte, France
A. Ionescu
Centre d'Études et de Recherche en Thermique, Environnement et Systèmes EA 3481, Université Paris-Est Créteil, 94010 Créteil, France
Y. Candau
Centre d'Études et de Recherche en Thermique, Environnement et Systèmes EA 3481, Université Paris-Est Créteil, 94010 Créteil, France
M. Beekmann
LISA, CNRS/INSU UMR7583, Université Paris-Est Créteil et Université Paris Diderot, Institut Pierre Simon Laplace, 94010 Créteil, France
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30 citations as recorded by crossref.
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- On possibilities of assimilation of near-real-time pollen data by atmospheric composition models M. Sofiev https://doi.org/10.1007/s10453-019-09583-1
- Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ B. Gaubert et al. https://doi.org/10.5194/acp-20-14617-2020
- Generalized background error covariance matrix model (GEN_BE v2.0) G. Descombes et al. https://doi.org/10.5194/gmd-8-669-2015
- Accounting for model error in air quality forecasts: an application of 4DEnVar to the assimilation of atmospheric composition using QG-Chem 1.0 E. Emili et al. https://doi.org/10.5194/gmd-9-3933-2016
- Limitations of ozone data assimilation with adjustment of NOx emissions: mixed effects on NO2 forecasts over Beijing and surrounding areas X. Tang et al. https://doi.org/10.5194/acp-16-6395-2016
- Tropospheric Ozone Assessment Report: Tropospheric ozone from 1877 to 2016, observed levels, trends and uncertainties D. Tarasick et al. https://doi.org/10.1525/elementa.376
- A new hybrid models based on the neural network and discrete wavelet transform to identify the CHIMERE model limitation A. Ajdour et al. https://doi.org/10.1007/s11356-022-23084-8
- On the representation error in data assimilation T. Janjić et al. https://doi.org/10.1002/qj.3130
- Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. https://doi.org/10.3390/rs15194813
- Toward a chemical reanalysis in a coupled chemistry‐climate model: An evaluation of MOPITT CO assimilation and its impact on tropospheric composition B. Gaubert et al. https://doi.org/10.1002/2016JD024863
- Advantages of assimilating multispectral satellite retrievals of atmospheric composition: a demonstration using MOPITT carbon monoxide products W. Tang et al. https://doi.org/10.5194/amt-17-1941-2024
- Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements W. Tang et al. https://doi.org/10.5194/amt-14-4639-2021
- Development and validation of influenza forecasting for 64 temperate and tropical countries S. Kramer et al. https://doi.org/10.1371/journal.pcbi.1006742
- Ozone pollution: What can we see from space? A case study G. Foret et al. https://doi.org/10.1002/2013JD021340
- Toward a multivariate formulation of the parametric Kalman filter assimilation: application to a simplified chemical transport model A. Perrot et al. https://doi.org/10.5194/npg-30-139-2023
- Efficient ensemble generation for uncertain correlated parameters in atmospheric chemical models: a case study for biogenic emissions from EURAD-IM version 5 A. Vogel & H. Elbern https://doi.org/10.5194/gmd-14-5583-2021
- Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS A. Inness et al. https://doi.org/10.5194/acp-15-5275-2015
- Biogenic isoprene emissions, dry deposition velocity, and surface ozone concentration during summer droughts, heatwaves, and normal conditions in southwestern Europe A. Guion et al. https://doi.org/10.5194/acp-23-1043-2023
- A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V. Marécal et al. https://doi.org/10.5194/gmd-8-2777-2015
- Assessing the Use of Influenza Forecasts and Epidemiological Modeling in Public Health Decision Making in the United States C. Doms et al. https://doi.org/10.1038/s41598-018-30378-w
- Assimilation of surface NO2 and O3 observations into the SILAM chemistry transport model J. Vira & M. Sofiev https://doi.org/10.5194/gmd-8-191-2015
- Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer P. Monks et al. https://doi.org/10.5194/acp-15-8889-2015
- Assimilation of satellite NO2 observations at high spatial resolution using OSSEs X. Liu et al. https://doi.org/10.5194/acp-17-7067-2017
- An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace‐Gas Observations Constrain NOx Emissions in the US C. Hsu et al. https://doi.org/10.1029/2023JD039323
- 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
- EnKF and 4D-Var data assimilation with chemical transport model BASCOE (version 05.06) S. Skachko et al. https://doi.org/10.5194/gmd-9-2893-2016
- Vertical distribution and transport characteristics of ozone pollution based on lidar observation network and data assimilation over the Pearl River Delta, China Y. Pan et al. https://doi.org/10.1016/j.atmosres.2024.107643
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