Articles | Volume 7, issue 4
https://doi.org/10.5194/gmd-7-1451-2014
© 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-7-1451-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparison of the ensemble Kalman filter and 4D-Var assimilation methods using a stratospheric tracer transport model
S. Skachko
Belgian Institute for Space Aeronomy, BIRA-IASB, Brussels, 1180, Belgium
Q. Errera
Belgian Institute for Space Aeronomy, BIRA-IASB, Brussels, 1180, Belgium
R. Ménard
Air Quality Research Division, Environment Canada, Dorval, Canada
Y. Christophe
Belgian Institute for Space Aeronomy, BIRA-IASB, Brussels, 1180, Belgium
S. Chabrillat
Belgian Institute for Space Aeronomy, BIRA-IASB, Brussels, 1180, Belgium
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21 citations as recorded by crossref.
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- Harmonisation and diagnostics of MIPAS ESA CH<sub>4</sub> and N<sub>2</sub>O profiles using data assimilation Q. Errera et al. 10.5194/amt-9-5895-2016
- Numeric modelling and risk assessment of pollutions in the Chinese Bohai Sea Y. Liu et al. 10.1007/s11430-016-9062-y
- Unbalanced emission reductions of different species and sectors in China during COVID-19 lockdown derived by multi-species surface observation assimilation L. Kong et al. 10.5194/acp-23-6217-2023
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- EnKF and 4D-Var data assimilation with chemical transport model BASCOE (version 05.06) S. Skachko et al. 10.5194/gmd-9-2893-2016
- Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al. 10.3390/atmos14040758
- Precipitation Data Assimilation System Based on a Neural Network and Case-Based Reasoning System J. Lu et al. 10.3390/info9050106
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- The optimization of SO2 emissions by the 4DVAR and EnKF methods and its application in WRF-Chem Y. Hu et al. 10.1016/j.scitotenv.2023.163796
- Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part I: Physical Background and Coupled Modeling Aspects R. Ménard et al. 10.3390/atmos11020150
- Length Scale Analyses of Background Error Covariances for EnKF and EnSRF Data Assimilation S. Park et al. 10.3390/atmos13020160
- Analysis of the 6 September 2015 Tornadic Storm Around the Tokyo Metropolitan Area Using Coupled 3DVAR and Incremental Analysis Updates K. Shimose et al. 10.20965/jdr.2017.p0956
- ML-TOMCAT: machine-learning-based satellite-corrected global stratospheric ozone profile data set from a chemical transport model S. Dhomse et al. 10.5194/essd-13-5711-2021
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- On the capability of the future ALTIUS ultraviolet–visible–near-infrared limb sounder to constrain modelled stratospheric ozone Q. Errera et al. 10.5194/amt-14-4737-2021
- Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO<sub>2</sub> surface flux inversions A. Babenhauserheide et al. 10.5194/acp-15-9747-2015
- Evaluation of Analysis by Cross-Validation, Part II: Diagnostic and Optimization of Analysis Error Covariance R. Ménard & M. Deshaies-Jacques 10.3390/atmos9020070
- Technical note: Reanalysis of Aura MLS chemical observations Q. Errera et al. 10.5194/acp-19-13647-2019
- Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part I: Design of the Assimilation System S. Voshtani et al. 10.3390/rs14020371
- Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM<sub>2.5</sub> S. Park et al. 10.5194/gmd-15-2773-2022
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