159 citations as recorded by crossref.

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3. Estimation of spatially varying parameters in three-dimensional cohesive sediment transport models by assimilating remote sensing data J. Zhang et al. 10.1007/s00773-017-0477-3
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6. Comparison of Land-Use Regression Modeling with Dispersion and Chemistry Transport Modeling to Assign Air Pollution Concentrations within the Ruhr Area F. Hennig et al. 10.3390/atmos7030048
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9. Thoughts on Earth System Modeling: From global to regional scale E. Canepa & P. Builtjes 10.1016/j.earscirev.2017.06.017
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14. Atmospheric impacts of the 2010 Russian wildfires: integrating modelling and measurements of an extreme air pollution episode in the Moscow region I. Konovalov et al. 10.5194/acp-11-10031-2011
15. Dynamically Constrained Interpolation of the Sparsely Observed Suspended Sediment Concentrations in Both Space and Time: A Case Study in the Bohai Sea X. Mao et al. 10.1175/JTECH-D-17-0149.1
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21. Updated aerosol module and its application to simulate secondary organic aerosols during IMPACT campaign May 2008 Y. Li et al. 10.5194/acp-13-6289-2013
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24. Evaluating the Impact of Emissions Regulations on the Emissions Reduction During the 2015 China Victory Day Parade With an Ensemble Square Root Filter K. Chu et al. 10.1002/2017JD027631
25. Four-dimensional variational inversion of black carbon emissions during ARCTAS-CARB with WRFDA-Chem J. Guerrette & D. Henze 10.5194/acp-17-7605-2017
26. Assessment of the Meteorological Impact on Improved PM 2.5 Air Quality Over North China During 2016–2019 Based on a Regional Joint Atmospheric Composition Reanalysis Data‐Set X. Kou et al. 10.1029/2020JD034382
27. Evaluation Criteria on the Design for Assimilating Remote Sensing Data Using Variational Approaches S. Lu et al. 10.1175/MWR-D-16-0289.1
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31. Performance of a local ensemble transform Kalman filter for the analysis of atmospheric circulation and distribution of long-lived tracers under idealized conditions K. Miyazaki 10.1029/2009JD011892
32. Evaluation of atmospheric aerosols in the metropolitan area of São Paulo simulated by the regional EURAD-IM model on high-resolution E. De Souza Fernandes Duarte et al. 10.1016/j.apr.2020.12.006
33. NO<sub>2</sub> photolysis frequencies in street canyons P. Koepke et al. 10.5194/acp-10-7457-2010
34. A feature point scheme for improving estimation of the temporally varying bottom friction coefficient in tidal models using adjoint method D. Wang et al. 10.1016/j.oceaneng.2020.108481
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36. A comparison of correlation-length estimation methods for the objective analysis of surface pollutants at Environment and Climate Change Canada R. Ménard et al. 10.1080/10962247.2016.1177620
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39. Estimation of Volcanic Ash Emissions Using Trajectory-Based 4D-Var Data Assimilation S. Lu et al. 10.1175/MWR-D-15-0194.1
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42. 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
43. On the observability of chemical and physical aerosol properties by optical observations: Inverse modelling with variational data assimilation M. Kahnert 10.1111/j.1600-0889.2009.00436.x
44. Parameter-field estimation for atmospheric dispersion: application to the Chernobyl accident using 4D-Var M. Bocquet 10.1002/qj.961
45. Identifying forecast uncertainties for biogenic gases in the Po Valley related to model configuration in EURAD-IM during PEGASOS 2012 A. Vogel & H. Elbern 10.5194/acp-21-4039-2021
46. Aerosol optical depth assimilation for a modal aerosol model: Implementation and application in AOD forecasts over East Asia J. Pang et al. 10.1016/j.scitotenv.2020.137430
47. Toward the next generation of air quality monitoring: Ozone K. Bowman 10.1016/j.atmosenv.2013.07.007
48. Application of a chemical transport model and optimized data assimilation methods to improve air quality assessment C. Silibello et al. 10.1007/s11869-014-0235-1
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50. Modeling study of a severe aerosol pollution event in December 2013 over Shanghai China: An application of chemical data assimilation J. Wu et al. 10.1016/j.partic.2014.10.008
51. Evaluation of a regional air quality forecast model for tropospheric NO<sub>2</sub> columns using the OMI/Aura satellite tropospheric NO<sub>2</sub> product F. Herron-Thorpe et al. 10.5194/acp-10-8839-2010
52. Uncertainty quantification of pollutant source retrieval: comparison of Bayesian methods with application to the Chernobyl and Fukushima Daiichi accidental releases of radionuclides Y. Liu et al. 10.1002/qj.3138
53. Development of four-dimensional variational assimilation system based on the GRAPES–CUACE adjoint model (GRAPES–CUACE-4D-Var V1.0) and its application in emission inversion C. Wang et al. 10.5194/gmd-14-337-2021
54. Sensitivity of Latent Heat Fluxes to Initial Values and Parameters of a Land-Surface Model J. Schwinger et al. 10.2136/vzj2009.0190
55. Estimation of the caesium-137 source term from the Fukushima Daiichi nuclear power plant using a consistent joint assimilation of air concentration and deposition observations V. Winiarek et al. 10.1016/j.atmosenv.2013.10.017
56. Analyzing highly uncertain source regions in the Ex-UTLS and their effects on small-scale atmospheric composition using probabilistic retroplume calculations A. Vogel et al. 10.1016/j.atmosenv.2019.117063
57. Using Geographically Referenced Data on Environmental Exposures for Public Health Research: A Feasibility Study Based on the German Socio-Economic Panel Study (SOEP) S. Voigtländer et al. 10.2139/ssrn.1884910
58. Challenges for a New Air Quality Directive: The role of monitoring and modelling techniques C. Borrego et al. 10.1016/j.uclim.2014.06.007
59. Investigating a high ozone episode in a rural mountain site A. Monteiro et al. 10.1016/j.envpol.2011.11.008
60. Assimilating aerosol observations with a “hybrid” variational-ensemble data assimilation system C. Schwartz et al. 10.1002/2013JD020937
61. A 6-year-long (2013–2018) high-resolution air quality reanalysis dataset in China based on the assimilation of surface observations from CNEMC L. Kong et al. 10.5194/essd-13-529-2021
62. Singular vector decomposition for sensitivity analyses of tropospheric chemical scenarios N. Goris & H. Elbern 10.5194/acp-13-5063-2013
63. Parameter estimation for a cohesive sediment transport model by assimilating satellite observations in the Hangzhou Bay: Temporal variations and spatial distributions D. Wang et al. 10.1016/j.ocemod.2017.11.007
64. Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer P. Monks et al. 10.5194/acp-15-8889-2015
65. Seasonal trends of dry and bulk concentration of nitrogen compounds over a rain forest in Ghana F. Fattore et al. 10.5194/bg-11-3069-2014
66. 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
67. Ubiquity of organic nitrates from nighttime chemistry in the European submicron aerosol A. Kiendler‐Scharr et al. 10.1002/2016GL069239
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69. The High Order Conservative Method for the Parameters Estimation in a PM2.5 Transport Adjoint Model N. Li et al. 10.1155/2017/4626585
70. Ensemble Techniques to Improve Air Quality Assessment: Focus on O3 and PM A. Monteiro et al. 10.1007/s10666-012-9344-0
71. Retrospective analysis of 2015–2017 wintertime PM<sub>2.5</sub> in China: response to emission regulations and the role of meteorology D. Chen et al. 10.5194/acp-19-7409-2019
72. Bias Correction Techniques to Improve Air Quality Ensemble Predictions: Focus on O3 and PM Over Portugal A. Monteiro et al. 10.1007/s10666-013-9358-2
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74. Multi-species inversion of CH<sub>4</sub>, CO and H<sub>2</sub> emissions from surface measurements I. Pison et al. 10.5194/acp-9-5281-2009
75. Online coupled regional meteorology chemistry models in Europe: current status and prospects A. Baklanov et al. 10.5194/acp-14-317-2014
76. Adjoint inversion modeling of Asian dust emission using lidar observations K. Yumimoto et al. 10.5194/acp-8-2869-2008
77. Comparison of OMI NO<sub>2</sub> tropospheric columns with an ensemble of global and European regional air quality models V. Huijnen et al. 10.5194/acp-10-3273-2010
78. Probing into the impact of 3DVAR assimilation of surface PM10observations over China using process analysis Z. Jiang et al. 10.1002/jgrd.50495
79. Variational assimilation of IASI SO<sub>2</sub> plume height and total column retrievals in the 2010 eruption of Eyjafjallajökull using the SILAM v5.3 chemistry transport model J. Vira et al. 10.5194/gmd-10-1985-2017
80. Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. 10.5194/acp-18-12551-2018
81. Three-dimensional variational data assimilation of ozone and fine particulate matter observations: some results using the Weather Research and Forecasting-Chemistry model and Grid-point Statistical Interpolation M. Pagowski et al. 10.1002/qj.700
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83. Improving air quality forecasting with the assimilation of GOCI aerosol optical depth (AOD) retrievals during the KORUS-AQ period S. Ha et al. 10.5194/acp-20-6015-2020
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85. Improving PM<sub>2. 5</sub> forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter Z. Peng et al. 10.5194/acp-17-4837-2017
86. Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM<sub>2.5</sub> concentrations over the North China Plain Y. Xiang et al. 10.5194/acp-21-7023-2021
87. Estimation of Bottom Friction Coefficient in Multi‐Constituent Tidal Models Using the Adjoint Method: Temporal Variations and Spatial Distributions D. Wang et al. 10.1029/2020JC016949
88. The assessment of potential observability for joint chemical states and emissions in atmospheric modelings X. Wu et al. 10.1007/s00477-021-02113-x
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90. Improvement of ozone forecast over Beijing based on ensemble Kalman filter with simultaneous adjustment of initial conditions and emissions X. Tang et al. 10.5194/acp-11-12901-2011
91. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V. Marécal et al. 10.5194/gmd-8-2777-2015
92. Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions: method and comparison with synthesis inversion J. Meirink et al. 10.5194/acp-8-6341-2008
93. On possibilities of assimilation of near-real-time pollen data by atmospheric composition models M. Sofiev 10.1007/s10453-019-09583-1
94. Regional representativity of AERONET observation sites during the biomass burning season in South America determined by correlation studies with MODIS Aerosol Optical Depth J. Hoelzemann et al. 10.1029/2008JD010369
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96. An inversion technique for the retrieval of single-point emissions from atmospheric concentration measurements M. Sharan et al. 10.1098/rspa.2008.0402
97. Regional NOx emission inversion through a four-dimensional variational approach using SCIAMACHY tropospheric NO2 column observations T. Chai et al. 10.1016/j.atmosenv.2009.06.052
98. 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
99. Assimilating AOD retrievals from GOCI and VIIRS to forecast surface PM2.5 episodes over Eastern China J. Pang et al. 10.1016/j.atmosenv.2018.02.011
100. MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe M. Sofiev et al. 10.5194/acp-15-8115-2015
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