Articles | Volume 12, issue 10
https://doi.org/10.5194/acp-12-4493-2012
© Author(s) 2012. 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-12-4493-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 May 2012
Research article |
| 22 May 2012
Assimilation of IASI satellite CO fields into a global chemistry transport model for validation against aircraft measurements
A. Klonecki
NOVELTIS, Ramonville-Saint-Agne, France
M. Pommier
UPMC Univ. Paris 06; Université Versailles St-Quentin; CNRS/INSU, LATMOS-IPSL, Paris, France
now at: Air Quality Research Division, Science and Technology Branch, Environment Canada, Toronto, Ontario, Canada
C. Clerbaux
UPMC Univ. Paris 06; Université Versailles St-Quentin; CNRS/INSU, LATMOS-IPSL, Paris, France
Spectroscopie de l'Atmosphère, Chimie Quantique et Photophysique, Université Libre de Bruxelles (ULB), Brussels, Belgium
G. Ancellet
UPMC Univ. Paris 06; Université Versailles St-Quentin; CNRS/INSU, LATMOS-IPSL, Paris, France
J.-P. Cammas
Université de Toulouse, CNRS, UMR5560, Laboratoire d'Aérologie, Toulouse, France
P.-F. Coheur
Spectroscopie de l'Atmosphère, Chimie Quantique et Photophysique, Université Libre de Bruxelles (ULB), Brussels, Belgium
A. Cozic
LSCE/IPSL, CEA-CNRS-UVSQ, Saclay, France
G. S. Diskin
NASA Langley Research Center, MS 483, Hampton, USA
J. Hadji-Lazaro
UPMC Univ. Paris 06; Université Versailles St-Quentin; CNRS/INSU, LATMOS-IPSL, Paris, France
D. A. Hauglustaine
LSCE/IPSL, CEA-CNRS-UVSQ, Saclay, France
D. Hurtmans
Spectroscopie de l'Atmosphère, Chimie Quantique et Photophysique, Université Libre de Bruxelles (ULB), Brussels, Belgium
B. Khattatov
National Center for Atmospheric Research, Boulder, Colorado, USA
J.-F. Lamarque
National Center for Atmospheric Research, Boulder, Colorado, USA
K. S. Law
UPMC Univ. Paris 06; Université Versailles St-Quentin; CNRS/INSU, LATMOS-IPSL, Paris, France
P. Nedelec
Université de Toulouse, CNRS, UMR5560, Laboratoire d'Aérologie, Toulouse, France
J.-D. Paris
LSCE/IPSL, CEA-CNRS-UVSQ, Saclay, France
J. R. Podolske
NASA Ames Research Center, Moffett Field, California, 94035, USA
P. Prunet
NOVELTIS, Ramonville-Saint-Agne, France
H. Schlager
DLR, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
S. Szopa
LSCE/IPSL, CEA-CNRS-UVSQ, Saclay, France
S. Turquety
UPMC Univ. Paris 06; Ecole Polytechnique; CNRS UMR 8539, LMD-IPSL, Palaiseau, France
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Cited
18 citations as recorded by crossref.
- Comparison between satellite spectrometric and aircraft measurements of the gaseous composition of the troposphere over Siberia during the forest fires of 2012 M. Arshinov et al. 10.1134/S0001433814090047
- Partially scanned interferogram methodology applied to IASI for the retrieval of CO, CO_2, CH_4 and N_2O G. Grieco et al. 10.1364/OE.21.024753
- The amplitude of the CO2 seasonal cycle in the atmosphere of the Ural region retrieved from ground-based and satellite near-IR measurements N. Rokotyan et al. 10.1134/S102485601501011X
- Assessing the impacts of assimilating IASI and MOPITT CO retrievals using CESM‐CAM‐chem and DART J. Barré et al. 10.1002/2015JD023467
- Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS A. Inness et al. 10.5194/acp-15-5275-2015
- Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions R. Buchholz et al. 10.1016/j.rse.2020.112275
- Decadal record of satellite carbon monoxide observations H. Worden et al. 10.5194/acp-13-837-2013
- Profile information on CO from SCIAMACHY observations using cloud slicing and comparison with model simulations C. Liu et al. 10.5194/acp-14-1717-2014
- Model-simulated trend of surface carbon monoxide for the 2001–2010 decade J. Yoon & A. Pozzer 10.5194/acp-14-10465-2014
- Quantifying Emissions of CO and NOx Using Observations From MOPITT, OMI, TES, and OSIRIS X. Zhang et al. 10.1029/2018JD028670
- Tracking pollutants from space: Eight years of IASI satellite observation C. Clerbaux et al. 10.1016/j.crte.2015.06.001
- Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model C. Bacour et al. 10.5194/bg-20-1089-2023
- A tropospheric chemistry reanalysis for the years 2005–2012 based on an assimilation of OMI, MLS, TES, and MOPITT satellite data K. Miyazaki et al. 10.5194/acp-15-8315-2015
- Top‐Down CO Emissions Based On IASI Observations and Hemispheric Constraints on OH Levels J. Müller et al. 10.1002/2017GL076697
- Diurnal Carbon Monoxide Retrieval from FY-4B/GIIRS Using a Novel Machine Learning Method Z. Liang et al. 10.34133/remotesensing.0289
- TCCON and NDACC X<sub>CO</sub> measurements: difference, discussion and application M. Zhou et al. 10.5194/amt-12-5979-2019
- 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. 10.5194/gmd-9-965-2016
- 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. 10.1002/2016JD024863
18 citations as recorded by crossref.
- Comparison between satellite spectrometric and aircraft measurements of the gaseous composition of the troposphere over Siberia during the forest fires of 2012 M. Arshinov et al. 10.1134/S0001433814090047
- Partially scanned interferogram methodology applied to IASI for the retrieval of CO, CO_2, CH_4 and N_2O G. Grieco et al. 10.1364/OE.21.024753
- The amplitude of the CO2 seasonal cycle in the atmosphere of the Ural region retrieved from ground-based and satellite near-IR measurements N. Rokotyan et al. 10.1134/S102485601501011X
- Assessing the impacts of assimilating IASI and MOPITT CO retrievals using CESM‐CAM‐chem and DART J. Barré et al. 10.1002/2015JD023467
- Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS A. Inness et al. 10.5194/acp-15-5275-2015
- Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions R. Buchholz et al. 10.1016/j.rse.2020.112275
- Decadal record of satellite carbon monoxide observations H. Worden et al. 10.5194/acp-13-837-2013
- Profile information on CO from SCIAMACHY observations using cloud slicing and comparison with model simulations C. Liu et al. 10.5194/acp-14-1717-2014
- Model-simulated trend of surface carbon monoxide for the 2001–2010 decade J. Yoon & A. Pozzer 10.5194/acp-14-10465-2014
- Quantifying Emissions of CO and NOx Using Observations From MOPITT, OMI, TES, and OSIRIS X. Zhang et al. 10.1029/2018JD028670
- Tracking pollutants from space: Eight years of IASI satellite observation C. Clerbaux et al. 10.1016/j.crte.2015.06.001
- Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model C. Bacour et al. 10.5194/bg-20-1089-2023
- A tropospheric chemistry reanalysis for the years 2005–2012 based on an assimilation of OMI, MLS, TES, and MOPITT satellite data K. Miyazaki et al. 10.5194/acp-15-8315-2015
- Top‐Down CO Emissions Based On IASI Observations and Hemispheric Constraints on OH Levels J. Müller et al. 10.1002/2017GL076697
- Diurnal Carbon Monoxide Retrieval from FY-4B/GIIRS Using a Novel Machine Learning Method Z. Liang et al. 10.34133/remotesensing.0289
- TCCON and NDACC X<sub>CO</sub> measurements: difference, discussion and application M. Zhou et al. 10.5194/amt-12-5979-2019
- 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. 10.5194/gmd-9-965-2016
- 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. 10.1002/2016JD024863
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