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.
Methods for assessment of models
| 
16 Jul 2014
Methods for assessment of models |
| 16 Jul 2014
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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- The optimization of SO2 emissions by the 4DVAR and EnKF methods and its application in WRF-Chem Y. Hu et al. https://doi.org/10.1016/j.scitotenv.2023.163796
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- Length Scale Analyses of Background Error Covariances for EnKF and EnSRF Data Assimilation S. Park et al. https://doi.org/10.3390/atmos13020160
- Comparative Review of Global Methane Budget Estimation: Top-Down, Bottom-Up, and Integrated Approaches B. Alem et al. https://doi.org/10.3390/rs18091336
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- Global ammonia emission inversion in 2022 via assimilating IASI observations M. Chen et al. https://doi.org/10.1038/s44407-026-00072-7
25 citations as recorded by crossref.
- The ALTIUS atmospheric limb sounder D. Fussen et al. https://doi.org/10.1016/j.jqsrt.2019.06.021
- 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. https://doi.org/10.5194/acp-23-6217-2023
- Precipitation Data Assimilation System Based on a Neural Network and Case-Based Reasoning System J. Lu et al. https://doi.org/10.3390/info9050106
- Ensemble-Based Flow Field Estimation Using the Dynamic Wind Farm Model FLORIDyn M. Becker et al. https://doi.org/10.3390/en15228589
- On the capability of the future ALTIUS ultraviolet–visible–near-infrared limb sounder to constrain modelled stratospheric ozone Q. Errera et al. https://doi.org/10.5194/amt-14-4737-2021
- Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO2 surface flux inversions A. Babenhauserheide et al. https://doi.org/10.5194/acp-15-9747-2015
- Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part I: Design of the Assimilation System S. Voshtani et al. https://doi.org/10.3390/rs14020371
- Harmonisation and diagnostics of MIPAS ESA CH4 and N2O profiles using data assimilation Q. Errera et al. https://doi.org/10.5194/amt-9-5895-2016
- Numeric modelling and risk assessment of pollutions in the Chinese Bohai Sea Y. Liu et al. https://doi.org/10.1007/s11430-016-9062-y
- Weak and Strong Constraints Variational Data Assimilation with the NCOM-4DVAR in the Agulhas Region Using the Representer Method H. Ngodock et al. https://doi.org/10.1175/MWR-D-16-0264.1
- EnKF and 4D-Var data assimilation with chemical transport model BASCOE (version 05.06) S. Skachko et al. https://doi.org/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. https://doi.org/10.3390/atmos14040758
- The optimization of SO2 emissions by the 4DVAR and EnKF methods and its application in WRF-Chem Y. Hu et al. https://doi.org/10.1016/j.scitotenv.2023.163796
- 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. https://doi.org/10.5194/acp-25-2243-2025
- Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part I: Physical Background and Coupled Modeling Aspects R. Ménard et al. https://doi.org/10.3390/atmos11020150
- Length Scale Analyses of Background Error Covariances for EnKF and EnSRF Data Assimilation S. Park et al. https://doi.org/10.3390/atmos13020160
- Comparative Review of Global Methane Budget Estimation: Top-Down, Bottom-Up, and Integrated Approaches B. Alem et al. https://doi.org/10.3390/rs18091336
- Analysis of the 6 September 2015 Tornadic Storm Around the Tokyo Metropolitan Area Using Coupled 3DVAR and Incremental Analysis Updates K. Shimose et al. https://doi.org/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. https://doi.org/10.5194/essd-13-5711-2021
- Comparison of mean age of air in five reanalyses using the BASCOE transport model S. Chabrillat et al. https://doi.org/10.5194/acp-18-14715-2018
- Evaluation of Analysis by Cross-Validation, Part II: Diagnostic and Optimization of Analysis Error Covariance R. Ménard & M. Deshaies-Jacques https://doi.org/10.3390/atmos9020070
- Cropland evapotranspiration based on Sentinel-2 shortwave infrared data and ensemble Kalman filter L. Liu et al. https://doi.org/10.1016/j.agrformet.2026.111035
- Technical note: Reanalysis of Aura MLS chemical observations Q. Errera et al. https://doi.org/10.5194/acp-19-13647-2019
- 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. https://doi.org/10.5194/gmd-15-2773-2022
- Global ammonia emission inversion in 2022 via assimilating IASI observations M. Chen et al. https://doi.org/10.1038/s44407-026-00072-7
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