Articles | Volume 13, issue 13
https://doi.org/10.5194/acp-13-6555-2013
© Author(s) 2013. 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-13-6555-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Jul 2013
Research article |
| 11 Jul 2013
Atmospheric inversion of SO2 and primary aerosol emissions for the year 2010
N. Huneeus
Laboratoire de Météorologie Dynamique, IPSL, UMR8539, CNRS/UPMC, Paris, France
O. Boucher
Laboratoire de Météorologie Dynamique, IPSL, UMR8539, CNRS/UPMC, Paris, France
F. Chevallier
Laboratoire des Sciences du Climat et de l'Environnement, IPSL, UMR8212, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
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- NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components H. Li et al. 10.5194/gmd-17-8495-2024
- Four-dimensional variational assimilation for SO2 emission and its application around the COVID-19 lockdown in the spring 2020 over China Y. Hu et al. 10.5194/acp-22-13183-2022
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- The pulsating nature of large-scale Saharan dust transport as a result of interplays between mid-latitude Rossby waves and the North African Dipole Intensity E. Cuevas et al. 10.1016/j.atmosenv.2017.08.059
- Effect of global atmospheric aerosol emission change on PM2.5-related health impacts X. Seposo et al. 10.1080/16549716.2019.1664130
- Impact of the choice of the satellite aerosol optical depth product in a sub-regional dust emission inversion J. Escribano et al. 10.5194/acp-17-7111-2017
- Subregional inversion of North African dust sources J. Escribano et al. 10.1002/2016JD025020
- Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives O. Dubovik et al. 10.1016/j.jqsrt.2018.11.024
- Spatial Representativeness Error in the Ground‐Level Observation Networks for Black Carbon Radiation Absorption R. Wang et al. 10.1002/2017GL076817
- Evaluating the Impact of Emissions Regulations on the Emissions Reduction During the 2015 China Victory Day Parade With an Ensemble Square Root Filter K. Chu et al. 10.1002/2017JD027631
- Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. 10.5194/acp-18-12551-2018
- Vertical aerosol data assimilation technology and application based on satellite and ground lidar: A review and outlook T. Yang et al. 10.1016/j.jes.2022.04.012
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- Revealing important nocturnal and day‐to‐day variations in fire smoke emissions through a multiplatform inversion P. Saide et al. 10.1002/2015GL063737
- The contribution of China’s emissions to global climate forcing B. Li et al. 10.1038/nature17165
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- The SPRINTARS version 3.80/4D-Var data assimilation system: development and inversion experiments based on the observing system simulation experiment framework K. Yumimoto & T. Takemura 10.5194/gmd-6-2005-2013
- Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al. 10.1016/j.asr.2016.03.008
- Dust events characterization from visibility, trends and Dust Adversity Index in the Canary Islands for the period 1980–2022 D. Suárez-Molina et al. 10.1016/j.heliyon.2024.e31262
22 citations as recorded by crossref.
- Constraining black carbon aerosol over Asia using OMI aerosol absorption optical depth and the adjoint of GEOS-Chem L. Zhang et al. 10.5194/acp-15-10281-2015
- Estimation of black carbon emissions from Siberian fires using satellite observations of absorption and extinction optical depths I. Konovalov et al. 10.5194/acp-18-14889-2018
- NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components H. Li et al. 10.5194/gmd-17-8495-2024
- Four-dimensional variational assimilation for SO2 emission and its application around the COVID-19 lockdown in the spring 2020 over China Y. Hu et al. 10.5194/acp-22-13183-2022
- Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. 10.5194/acp-19-14585-2019
- The pulsating nature of large-scale Saharan dust transport as a result of interplays between mid-latitude Rossby waves and the North African Dipole Intensity E. Cuevas et al. 10.1016/j.atmosenv.2017.08.059
- Effect of global atmospheric aerosol emission change on PM2.5-related health impacts X. Seposo et al. 10.1080/16549716.2019.1664130
- Impact of the choice of the satellite aerosol optical depth product in a sub-regional dust emission inversion J. Escribano et al. 10.5194/acp-17-7111-2017
- Subregional inversion of North African dust sources J. Escribano et al. 10.1002/2016JD025020
- Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives O. Dubovik et al. 10.1016/j.jqsrt.2018.11.024
- Spatial Representativeness Error in the Ground‐Level Observation Networks for Black Carbon Radiation Absorption R. Wang et al. 10.1002/2017GL076817
- Evaluating the Impact of Emissions Regulations on the Emissions Reduction During the 2015 China Victory Day Parade With an Ensemble Square Root Filter K. Chu et al. 10.1002/2017JD027631
- Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. 10.5194/acp-18-12551-2018
- Vertical aerosol data assimilation technology and application based on satellite and ground lidar: A review and outlook T. Yang et al. 10.1016/j.jes.2022.04.012
- Forecasting the northern African dust outbreak towards Europe in April 2011: a model intercomparison N. Huneeus et al. 10.5194/acp-16-4967-2016
- Revealing important nocturnal and day‐to‐day variations in fire smoke emissions through a multiplatform inversion P. Saide et al. 10.1002/2015GL063737
- The contribution of China’s emissions to global climate forcing B. Li et al. 10.1038/nature17165
- Novel estimation of aerosol processes with particle size distribution measurements: a case study with the TOMAS algorithm v1.0.0 D. McGuffin et al. 10.5194/gmd-14-1821-2021
- Improving PM<sub>2. 5</sub> forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter Z. Peng et al. 10.5194/acp-17-4837-2017
- The SPRINTARS version 3.80/4D-Var data assimilation system: development and inversion experiments based on the observing system simulation experiment framework K. Yumimoto & T. Takemura 10.5194/gmd-6-2005-2013
- Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al. 10.1016/j.asr.2016.03.008
- Dust events characterization from visibility, trends and Dust Adversity Index in the Canary Islands for the period 1980–2022 D. Suárez-Molina et al. 10.1016/j.heliyon.2024.e31262
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