23 citations as recorded by crossref.

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2. Harmonisation and diagnostics of MIPAS ESA CH4 and N2O profiles using data assimilation Q. Errera et al. 10.5194/amt-9-5895-2016
3. Numeric modelling and risk assessment of pollutions in the Chinese Bohai Sea Y. Liu et al. 10.1007/s11430-016-9062-y
4. 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
5. Weak and Strong Constraints Variational Data Assimilation with the NCOM-4DVAR in the Agulhas Region Using the Representer Method H. Ngodock et al. 10.1175/MWR-D-16-0264.1
6. EnKF and 4D-Var data assimilation with chemical transport model BASCOE (version 05.06) S. Skachko et al. 10.5194/gmd-9-2893-2016
7. 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
8. Precipitation Data Assimilation System Based on a Neural Network and Case-Based Reasoning System J. Lu et al. 10.3390/info9050106
9. Ensemble-Based Flow Field Estimation Using the Dynamic Wind Farm Model FLORIDyn M. Becker et al. 10.3390/en15228589
10. 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
11. Assessing the relative impacts of satellite ozone and its precursor observations to improve global tropospheric ozone analysis using multiple chemical reanalysis systems T. Sekiya et al. 10.5194/acp-25-2243-2025
12. Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part I: Physical Background and Coupled Modeling Aspects R. Ménard et al. 10.3390/atmos11020150
13. Length Scale Analyses of Background Error Covariances for EnKF and EnSRF Data Assimilation S. Park et al. 10.3390/atmos13020160
14. 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
15. 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
16. Comparison of mean age of air in five reanalyses using the BASCOE transport model S. Chabrillat et al. 10.5194/acp-18-14715-2018
17. 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
18. Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO2 surface flux inversions A. Babenhauserheide et al. 10.5194/acp-15-9747-2015
19. Evaluation of Analysis by Cross-Validation, Part II: Diagnostic and Optimization of Analysis Error Covariance R. Ménard & M. Deshaies-Jacques 10.3390/atmos9020070
20. Technical note: Reanalysis of Aura MLS chemical observations Q. Errera et al. 10.5194/acp-19-13647-2019
21. Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part I: Design of the Assimilation System S. Voshtani et al. 10.3390/rs14020371
22. Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM2.5 S. Park et al. 10.5194/gmd-15-2773-2022
23. Precipitation data assimilation in WRFDA 4D-Var: implementation and application to convection-permitting forecasts over United States J. Ban et al. 10.1080/16000870.2017.1368310