Articles | Volume 9, issue 14
https://doi.org/10.5194/acp-9-4855-2009
© Author(s) 2009. 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-9-4855-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
22 Jul 2009
On the extraction of wind information from the assimilation of ozone profiles in Météo–France 4-D-Var operational NWP suite
N. Semane
CNRM-GAME, Météo-France and CNRS URA 1357, Toulouse, France
CNRM, Direction de la Météorologie Nationale, Casablanca, Morocco
V.-H. Peuch
CNRM-GAME, Météo-France and CNRS URA 1357, Toulouse, France
S. Pradier
CNRM-GAME, Météo-France and CNRS URA 1357, Toulouse, France
G. Desroziers
CNRM-GAME, Météo-France and CNRS URA 1357, Toulouse, France
L. El Amraoui
CNRM-GAME, Météo-France and CNRS URA 1357, Toulouse, France
P. Brousseau
CNRM-GAME, Météo-France and CNRS URA 1357, Toulouse, France
S. Massart
CERFACS, Toulouse, France
B. Chapnik
CNRM-GAME, Météo-France and CNRS URA 1357, Toulouse, France
A. Peuch
DP, Météo–France, Toulouse, France
Viewed
Total article views: 3,092 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 28 Aug 2008)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,911 | 1,067 | 114 | 3,092 | 119 | 73 |
- HTML: 1,911
- PDF: 1,067
- XML: 114
- Total: 3,092
- BibTeX: 119
- EndNote: 73
Total article views: 2,592 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 22 Jul 2009)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,693 | 791 | 108 | 2,592 | 112 | 73 |
- HTML: 1,693
- PDF: 791
- XML: 108
- Total: 2,592
- BibTeX: 112
- EndNote: 73
Total article views: 500 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 28 Aug 2008)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 218 | 276 | 6 | 500 | 7 | 0 |
- HTML: 218
- PDF: 276
- XML: 6
- Total: 500
- BibTeX: 7
- EndNote: 0
Cited
27 citations as recorded by crossref.
- Multi-species chemical data assimilation with the Danish Eulerian hemispheric model: system description and verification J. Silver et al. 10.1007/s10874-015-9326-0
- The MACC reanalysis: an 8 yr data set of atmospheric composition A. Inness et al. 10.5194/acp-13-4073-2013
- The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction X. Liu et al. 10.5194/acp-21-9573-2021
- Extraction of wind and temperature information from hybrid 4D-Var assimilation of stratospheric ozone using NAVGEM D. Allen et al. 10.5194/acp-18-2999-2018
- Update of Infrared Atmospheric Sounding Interferometer (IASI) channel selection with correlated observation errors for numerical weather prediction (NWP) O. Coopmann et al. 10.5194/amt-13-2659-2020
- Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part II: Weak and Strong Coupling R. Ménard et al. 10.3390/atmos10120798
- Online coupled regional meteorology chemistry models in Europe: current status and prospects A. Baklanov et al. 10.5194/acp-14-317-2014
- Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models M. Bocquet et al. 10.5194/acp-15-5325-2015
- Toward Improving Short‐Term Predictions of Fine Particulate Matter Over the United States Via Assimilation of Satellite Aerosol Optical Depth Retrievals R. Kumar et al. 10.1029/2018JD029009
- Analysis of a rapid increase of stratospheric ozone during late austral summer 2008 over Kerguelen (49.4° S, 70.3° E) H. Bencherif et al. 10.5194/acp-11-363-2011
- A linear CO chemistry parameterization in a chemistry-transport model: evaluation and application to data assimilation M. Claeyman et al. 10.5194/acp-10-6097-2010
- Midlatitude stratosphere – troposphere exchange as diagnosed by MLS O<sub>3</sub> and MOPITT CO assimilated fields L. El Amraoui et al. 10.5194/acp-10-2175-2010
- Hybrid ensemble 4DVar assimilation of stratospheric ozone using a global shallow water model D. Allen et al. 10.5194/acp-16-8193-2016
- Validation of nine years of MOPITT V5 NIR using MOZAIC/IAGOS measurements: biases and long-term stability A. de Laat et al. 10.5194/amt-7-3783-2014
- A multimodel comparison of stratospheric ozone data assimilation based on an ensemble Kalman filter approach T. Nakamura et al. 10.1002/jgrd.50338
- Wind extraction potential from 4D-Var assimilation of stratospheric O<sub>3</sub>, N<sub>2</sub>O, and H<sub>2</sub>O using a global shallow water model D. Allen et al. 10.5194/acp-14-3347-2014
- Impact of EOS MLS ozone data on medium‐extended range ensemble weather forecasts J. Cheung et al. 10.1002/2014JD021823
- Inferring atmospheric dynamics from aerosol observations in 4D‐Var Ž. Zaplotnik et al. 10.1002/qj.3743
- Assimilation of Stratospheric Temperature and Ozone with an Ensemble Kalman Filter in a Chemistry–Climate Model T. Milewski & M. Bourqui 10.1175/2011MWR3540.1
- Wind extraction potential from ensemble Kalman filter assimilation of stratospheric ozone using a global shallow water model D. Allen et al. 10.5194/acp-15-5835-2015
- Limitations of wind extraction from 4D-Var assimilation of ozone D. Allen et al. 10.5194/acp-13-3501-2013
- Flow‐dependent wind extraction in strong‐constraint 4D‐Var Ž. Zaplotnik et al. 10.1002/qj.4497
- Comparisons of Three-Dimensional Variational Data Assimilation and Model Output Statistics in Improving Atmospheric Chemistry Forecasts C. Ma et al. 10.1007/s00376-017-7179-y
- Importance of using ensemble estimated background error covariances for the quality of atmospheric ozone analyses S. Massart et al. 10.1002/qj.971
- Regional scale ozone data assimilation using an ensemble Kalman filter and the CHIMERE chemical transport model B. Gaubert et al. 10.5194/gmd-7-283-2014
- A low-order coupled chemistry meteorology model for testing online and offline data assimilation schemes: L95-GRS (v1.0) J. Haussaire & M. Bocquet 10.5194/gmd-9-393-2016
- Assimilation of IASI Ozone‐Sensitive Channels in Preparation for an Enhanced Coupling Between Numerical Weather Prediction and Chemistry Transport Models O. Coopmann et al. 10.1029/2017JD027901
27 citations as recorded by crossref.
- Multi-species chemical data assimilation with the Danish Eulerian hemispheric model: system description and verification J. Silver et al. 10.1007/s10874-015-9326-0
- The MACC reanalysis: an 8 yr data set of atmospheric composition A. Inness et al. 10.5194/acp-13-4073-2013
- The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction X. Liu et al. 10.5194/acp-21-9573-2021
- Extraction of wind and temperature information from hybrid 4D-Var assimilation of stratospheric ozone using NAVGEM D. Allen et al. 10.5194/acp-18-2999-2018
- Update of Infrared Atmospheric Sounding Interferometer (IASI) channel selection with correlated observation errors for numerical weather prediction (NWP) O. Coopmann et al. 10.5194/amt-13-2659-2020
- Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part II: Weak and Strong Coupling R. Ménard et al. 10.3390/atmos10120798
- Online coupled regional meteorology chemistry models in Europe: current status and prospects A. Baklanov et al. 10.5194/acp-14-317-2014
- Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models M. Bocquet et al. 10.5194/acp-15-5325-2015
- Toward Improving Short‐Term Predictions of Fine Particulate Matter Over the United States Via Assimilation of Satellite Aerosol Optical Depth Retrievals R. Kumar et al. 10.1029/2018JD029009
- Analysis of a rapid increase of stratospheric ozone during late austral summer 2008 over Kerguelen (49.4° S, 70.3° E) H. Bencherif et al. 10.5194/acp-11-363-2011
- A linear CO chemistry parameterization in a chemistry-transport model: evaluation and application to data assimilation M. Claeyman et al. 10.5194/acp-10-6097-2010
- Midlatitude stratosphere – troposphere exchange as diagnosed by MLS O<sub>3</sub> and MOPITT CO assimilated fields L. El Amraoui et al. 10.5194/acp-10-2175-2010
- Hybrid ensemble 4DVar assimilation of stratospheric ozone using a global shallow water model D. Allen et al. 10.5194/acp-16-8193-2016
- Validation of nine years of MOPITT V5 NIR using MOZAIC/IAGOS measurements: biases and long-term stability A. de Laat et al. 10.5194/amt-7-3783-2014
- A multimodel comparison of stratospheric ozone data assimilation based on an ensemble Kalman filter approach T. Nakamura et al. 10.1002/jgrd.50338
- Wind extraction potential from 4D-Var assimilation of stratospheric O<sub>3</sub>, N<sub>2</sub>O, and H<sub>2</sub>O using a global shallow water model D. Allen et al. 10.5194/acp-14-3347-2014
- Impact of EOS MLS ozone data on medium‐extended range ensemble weather forecasts J. Cheung et al. 10.1002/2014JD021823
- Inferring atmospheric dynamics from aerosol observations in 4D‐Var Ž. Zaplotnik et al. 10.1002/qj.3743
- Assimilation of Stratospheric Temperature and Ozone with an Ensemble Kalman Filter in a Chemistry–Climate Model T. Milewski & M. Bourqui 10.1175/2011MWR3540.1
- Wind extraction potential from ensemble Kalman filter assimilation of stratospheric ozone using a global shallow water model D. Allen et al. 10.5194/acp-15-5835-2015
- Limitations of wind extraction from 4D-Var assimilation of ozone D. Allen et al. 10.5194/acp-13-3501-2013
- Flow‐dependent wind extraction in strong‐constraint 4D‐Var Ž. Zaplotnik et al. 10.1002/qj.4497
- Comparisons of Three-Dimensional Variational Data Assimilation and Model Output Statistics in Improving Atmospheric Chemistry Forecasts C. Ma et al. 10.1007/s00376-017-7179-y
- Importance of using ensemble estimated background error covariances for the quality of atmospheric ozone analyses S. Massart et al. 10.1002/qj.971
- Regional scale ozone data assimilation using an ensemble Kalman filter and the CHIMERE chemical transport model B. Gaubert et al. 10.5194/gmd-7-283-2014
- A low-order coupled chemistry meteorology model for testing online and offline data assimilation schemes: L95-GRS (v1.0) J. Haussaire & M. Bocquet 10.5194/gmd-9-393-2016
- Assimilation of IASI Ozone‐Sensitive Channels in Preparation for an Enhanced Coupling Between Numerical Weather Prediction and Chemistry Transport Models O. Coopmann et al. 10.1029/2017JD027901
Saved (final revised paper)
Latest update: 13 Dec 2024
