172 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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14. CO Emissions Inferred From Surface CO Observations Over China in December 2013 and 2017 S. Feng et al. 10.1029/2019JD031808
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17. MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe M. Sofiev et al. 10.5194/acpd-15-8243-2015
18. Assimilation of satellite NO<sub>2</sub> observations at high spatial resolution using OSSEs X. Liu et al. 10.5194/acp-17-7067-2017
19. 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
20. 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
21. The impact of multi-species surface chemical observation assimilation on air quality forecasts in China Z. Peng et al. 10.5194/acp-18-17387-2018
22. Toward Optimal Choices of Control Space Representation for Geophysical Data Assimilation M. Bocquet 10.1175/2009MWR2789.1
23. Estimation of volatile organic compound emissions for Europe using data assimilation M. Koohkan et al. 10.5194/acp-13-5887-2013
24. Data assimilation of stratospheric constituents: a review W. Lahoz et al. 10.5194/acp-7-5745-2007
25. Estimates of Health Impacts and Radiative Forcing in Winter Haze in Eastern China through Constraints of Surface PM2.5 Predictions M. Gao et al. 10.1021/acs.est.6b03745
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27. 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
28. 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/acpd-9-22271-2009
29. Top-down analysis of the elemental carbon emissions inventory in the United States by inverse modeling using Community Multiscale Air Quality model with decoupled direct method (CMAQ-DDM) Y. Hu et al. 10.1029/2009JD011987
30. Observation operator for the assimilation of aerosol type resolving satellite measurements into a chemical transport model M. Schroedter-Homscheidt et al. 10.5194/acpd-10-13855-2010
31. 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
32. Four-dimensional variational inversion of black carbon emissions during ARCTAS-CARB with WRFDA-Chem J. Guerrette & D. Henze 10.5194/acp-17-7605-2017
33. Evaluation Criteria on the Design for Assimilating Remote Sensing Data Using Variational Approaches S. Lu et al. 10.1175/MWR-D-16-0289.1
34. Simplified aerosol modeling for variational data assimilation N. Huneeus et al. 10.5194/gmd-2-213-2009
35. Estimation of errors in the inverse modeling of accidental release of atmospheric pollutant: Application to the reconstruction of the cesium-137 and iodine-131 source terms from the Fukushima Daiichi power plant V. Winiarek et al. 10.1029/2011JD016932
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38. 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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42. Estimation of Volcanic Ash Emissions Using Trajectory-Based 4D-Var Data Assimilation S. Lu et al. 10.1175/MWR-D-15-0194.1
43. Sequential data assimilation algorithms for air quality monitoring models based on a weak-constraint variational principle A. Penenko et al. 10.1134/S1995423916040054
44. Joint state and parameter estimation with an iterative ensemble Kalman smoother M. Bocquet & P. Sakov 10.5194/npg-20-803-2013
45. 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/acpd-14-32709-2014
46. 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
47. Parameter-field estimation for atmospheric dispersion: application to the Chernobyl accident using 4D-Var M. Bocquet 10.1002/qj.961
48. The SPRINTARS version 3.80/4D-Var data assimilation system: development and inversion experiments based on the observing system simulation experiment framework K. Yumimoto & T. Takemura 10.5194/gmdd-6-3427-2013
49. 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
50. Toward the next generation of air quality monitoring: Ozone K. Bowman 10.1016/j.atmosenv.2013.07.007
51. 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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53. 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
54. Simplified aerosol modeling for variational data assimilation N. Huneeus et al. 10.5194/gmdd-2-639-2009
55. 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
56. 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
57. Sensitivity of Latent Heat Fluxes to Initial Values and Parameters of a Land-Surface Model J. Schwinger et al. 10.2136/vzj2009.0190
58. 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
59. 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
60. Technical Note: Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions: method and comparison with synthesis inversion J. Meirink et al. 10.5194/acpd-8-12023-2008
61. 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
62. 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
63. 3-D evaluation of tropospheric ozone simulations by an ensemble of regional Chemistry Transport Model D. Zyryanov et al. 10.5194/acpd-11-28797-2011
64. Investigating a high ozone episode in a rural mountain site A. Monteiro et al. 10.1016/j.envpol.2011.11.008
65. Assimilating aerosol observations with a “hybrid” variational-ensemble data assimilation system C. Schwartz et al. 10.1002/2013JD020937
66. Singular vector decomposition for sensitivity analyses of tropospheric chemical scenarios N. Goris & H. Elbern 10.5194/acp-13-5063-2013
67. 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
68. 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
69. 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
70. 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
71. Ubiquity of organic nitrates from nighttime chemistry in the European submicron aerosol A. Kiendler-Scharr et al. 10.1002/2016GL069239
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73. A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling M. Prank et al. 10.5194/acpd-10-15963-2010
74. The High Order Conservative Method for the Parameters Estimation in a PM2.5 Transport Adjoint Model N. Li et al. 10.1155/2017/4626585
75. Aerosol optical depth assimilation for a size-resolved sectional model: impacts of observationally constrained, multi-wavelength and fine mode retrievals on regional scale forecasts P. Saide et al. 10.5194/acpd-13-12213-2013
76. Ensemble Techniques to Improve Air Quality Assessment: Focus on O3 and PM A. Monteiro et al. 10.1007/s10666-012-9344-0
77. 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
78. 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
79. 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/acpd-11-7811-2011
80. PM<sub>10</sub> data assimilation over Europe with the optimal interpolation method M. Tombette et al. 10.5194/acpd-8-9607-2008
81. 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
82. Online coupled regional meteorology chemistry models in Europe: current status and prospects A. Baklanov et al. 10.5194/acp-14-317-2014
83. Adjoint inversion modeling of Asian dust emission using lidar observations K. Yumimoto et al. 10.5194/acp-8-2869-2008
84. 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
85. Probing into the impact of 3DVAR assimilation of surface PM10observations over China using process analysis Z. Jiang et al. 10.1002/jgrd.50495
86. 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
87. 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
88. 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
89. Retrieving global aerosol sources from satellites using inverse modeling O. Dubovik et al. 10.5194/acp-8-209-2008
90. Data assimilation of satellite retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS A. Inness et al. 10.5194/acpd-15-4265-2015
91. 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
92. Performance assessment of CHIMERE and EURAD-IM’ dust modules C. Gama et al. 10.1016/j.apr.2019.03.005
93. Updated aerosol module and its application to simulate secondary organic aerosols during IMPACT campaign May 2008 Y. Li et al. 10.5194/acpd-13-5961-2013
94. Implementation of aerosol assimilation in Gridpoint Statistical Interpolation v. 3.2 and WRF-Chem v. 4.3.1 M. Pagowski et al. 10.5194/gmdd-7-2483-2014
95. 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
96. Inversion of CO emissions over Beijing and its surrounding areas with ensemble Kalman filter X. Tang et al. 10.1016/j.atmosenv.2013.08.051
97. Limitations of ozone data assimilation with adjustment of NO<sub><i>x</i></sub> emissions: mixed effects on NO<sub>2</sub> forecast over Beijing and surrounding areas X. Tang et al. 10.5194/acpd-15-35693-2015
98. 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
99. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V. Marécal et al. 10.5194/gmd-8-2777-2015
100. 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
101. Atmospheric impacts of the 2010 Russian wildfires: integrating modelling and measurements of the extreme air pollution episode in the Moscow megacity region I. Konovalov et al. 10.5194/acpd-11-12141-2011
102. On possibilities of assimilation of near-real-time pollen data by atmospheric composition models M. Sofiev 10.1007/s10453-019-09583-1
103. 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
104. Operational, regional-scale, chemical weather forecasting models in Europe J. Kukkonen et al. 10.5194/acpd-11-5985-2011
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108. 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
109. 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
110. MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe M. Sofiev et al. 10.5194/acp-15-8115-2015
111. Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS A. Inness et al. 10.5194/acp-15-5275-2015
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114. A Methodology for Estimating the Parameters in Three-Dimensional Cohesive Sediment Transport Models by Assimilating In Situ Observations with the Adjoint Method D. Wang et al. 10.1175/JTECH-D-16-0194.1
115. Multi-model ensemble simulations of olive pollen distribution in Europe in 2014: current status and outlook M. Sofiev et al. 10.5194/acp-17-12341-2017
116. Application of Dynamically Constrained Interpolation Methodology to the Surface Nitrogen Concentration in the Bohai Sea Q. Zheng et al. 10.3390/ijerph16132400
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118. Variational methods of data assimilation and inverse problems for studying the atmosphere, ocean, and environment V. Penenko 10.1134/S1995423909040065
119. Aerosol optical depth assimilation for a size-resolved sectional model: impacts of observationally constrained, multi-wavelength and fine mode retrievals on regional scale analyses and forecasts P. Saide et al. 10.5194/acp-13-10425-2013
120. A review of operational, regional-scale, chemical weather forecasting models in Europe J. Kukkonen et al. 10.5194/acp-12-1-2012
121. Potential effects of using biodiesel in road-traffic on air quality over the Porto urban area, Portugal I. Ribeiro et al. 10.1016/j.atmosenv.2015.11.006
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126. The SPRINTARS version 3.80/4D-Var data assimilation system: development and inversion experiments based on the observing system simulation experiment framework K. Yumimoto & T. Takemura 10.5194/gmd-6-2005-2013
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128. A case study of aerosol data assimilation with the Community Multi-scale Air Quality Model over the contiguous United States using 3D-Var and optimal interpolation methods Y. Tang et al. 10.5194/gmd-10-4743-2017
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134. Singular vector-based targeted observations of chemical constituents: description and first application of the EURAD-IM-SVA v1.0 N. Goris & H. Elbern 10.5194/gmd-8-3929-2015
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139. Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. 10.5194/acp-18-10615-2018
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142. Optimal Control and Observation Locations for Time-Varying Systems on a Finite-Time Horizon X. Wu et al. 10.1137/15M1014759
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