67 citations as recorded by crossref.

1. Constraining CO<sub>2</sub> emissions from open biomass burning by satellite observations of co-emitted species: a method and its application to wildfires in Siberia I. Konovalov et al. 10.5194/acp-14-10383-2014
2. Improvement of PM10 prediction in East Asia using inverse modeling Y. Koo et al. 10.1016/j.atmosenv.2015.02.004
3. Anthropogenic influences on aerosols at Ny-Ålesund in the summer Arctic J. Zhan et al. 10.1016/j.apr.2016.10.010
4. 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
5. Assimilation of lidar signals: application to aerosol forecasting in the western Mediterranean basin Y. Wang et al. 10.5194/acp-14-12031-2014
6. Frequent new particle formation at remote sites in the subboreal forest of North America M. Andreae et al. 10.5194/acp-22-2487-2022
7. Present‐Day and Historical Aerosol and Ozone Characteristics in CNRM CMIP6 Simulations M. Michou et al. 10.1029/2019MS001816
8. Improvement of PM2.5 forecast over China by the joint adjustment of initial conditions and emissions with the NLS-4DVar method S. Zhang et al. 10.1016/j.atmosenv.2021.118896
9. Variability of the infrared complex refractive index of African mineral dust: experimental estimation and implications for radiative transfer and satellite remote sensing C. Di Biagio et al. 10.5194/acp-14-11093-2014
10. Aerosol-type retrieval and uncertainty quantification from OMI data A. Kauppi et al. 10.5194/amt-10-4079-2017
11. CHIMERE 2013: a model for regional atmospheric composition modelling L. Menut et al. 10.5194/gmd-6-981-2013
12. Novel estimation of aerosol processes with particle size distribution measurements: a case study with the TOMAS algorithm v1.0.0 D. McGuffin et al. 10.5194/gmd-14-1821-2021
13. Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al. 10.5194/acp-21-2637-2021
14. Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts A. Ansmann et al. 10.5194/acp-17-14987-2017
15. Measurement report: Assessing the impacts of emission uncertainty on aerosol optical properties and radiative forcing from biomass burning in peninsular Southeast Asia Y. Jin et al. 10.5194/acp-24-367-2024
16. Vertical aerosol data assimilation technology and application based on satellite and ground lidar: A review and outlook T. Yang et al. 10.1016/j.jes.2022.04.012
17. Estimating aerosol emission from SPEXone on the NASA PACE mission using an ensemble Kalman smoother: observing system simulation experiments (OSSEs) A. Tsikerdekis et al. 10.5194/gmd-15-3253-2022
18. Size distribution and optical properties of mineral dust aerosols transported in the western Mediterranean C. Denjean et al. 10.5194/acp-16-1081-2016
19. 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
20. An outstanding Saharan dust event at Mt. Cimone (2165 m a.s.l., Italy) in March 2004 E. Brattich et al. 10.1016/j.atmosenv.2015.05.017
21. 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
22. Large seasonal variations in fine aerosol precipitation rates revealed using cosmogenic 7Be as a tracer J. Chae & G. Kim 10.1016/j.scitotenv.2019.03.482
23. Impacts of meteorological nudging on the global dust cycle simulated by NICAM coupled with an aerosol model T. Dai et al. 10.1016/j.atmosenv.2018.07.016
24. Four-dimensional variational assimilation for SO2 emission and its application around the COVID-19 lockdown in the spring 2020 over China Y. Hu et al. 10.5194/acp-22-13183-2022
25. Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. 10.5194/acp-23-9495-2023
26. Characterization of carbonaceous aerosols over the Northern Adriatic Sea in the JERICO-NEXT project framework D. Massabò et al. 10.1016/j.atmosenv.2020.117449
27. Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives O. Dubovik et al. 10.1016/j.jqsrt.2018.11.024
28. Characterising Brazilian biomass burning emissions using WRF-Chem with MOSAIC sectional aerosol S. Archer-Nicholls et al. 10.5194/gmd-8-549-2015
29. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. 10.5194/acp-19-14585-2019
30. JRAero: the Japanese Reanalysis for Aerosol v1.0 K. Yumimoto et al. 10.5194/gmd-10-3225-2017
31. Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. 10.5194/acp-18-10615-2018
32. Antecedent Soil Moisture Conditions Influenced Vertical Dust Flux: A Case Study in Iran Using WRF-Chem Model F. Soleimani Sardoo et al. 10.3390/land11060819
33. On the rising and sinking motion of bouncing oil drops in strongly stratified liquids J. Meijer et al. 10.1017/jfm.2023.415
34. Low Dust Generation Potential From Active Sand Grains by Wind Abrasion N. Swet et al. 10.1029/2020JF005545
35. Mesoscale spatio-temporal variability of airborne lidar-derived aerosol properties in the Barbados region during EUREC<sup>4</sup>A P. Chazette et al. 10.5194/acp-22-1271-2022
36. Ensemble filter based estimation of spatially distributed parameters in a mesoscale dust model: experiments with simulated and real data V. Khade et al. 10.5194/acp-13-3481-2013
37. Development and basic evaluation of a prognostic aerosol scheme (v1) in the CNRM Climate Model CNRM-CM6 M. Michou et al. 10.5194/gmd-8-501-2015
38. New evidence on the dimming/brightening phenomenon and decreasing diurnal temperature range in Iran (1961–2009) F. Rahimzadeh et al. 10.1002/joc.4107
39. Impact of the choice of the satellite aerosol optical depth product in a sub-regional dust emission inversion J. Escribano et al. 10.5194/acp-17-7111-2017
40. Satellite perspective of aerosol intercontinental transport: From qualitative tracking to quantitative characterization H. Yu et al. 10.1016/j.atmosres.2012.12.013
41. Estimation of fossil-fuel CO<sub>2</sub> emissions using satellite measurements of "proxy" species I. Konovalov et al. 10.5194/acp-16-13509-2016
42. How shorter black carbon lifetime alters its climate effect Ø. Hodnebrog et al. 10.1038/ncomms6065
43. 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
44. The Role of Anthropogenic Aerosol Forcing in Interdecadal Variations of Summertime Upper‐Tropospheric Temperature Over East Asia Z. Wang et al. 10.1029/2018EF001052
45. The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future L. Remer et al. 10.3390/rs12182900
46. Emissions estimation from satellite retrievals: A review of current capability D. Streets et al. 10.1016/j.atmosenv.2013.05.051
47. Atmospheric inversion of SO<sub>2</sub> and primary aerosol emissions for the year 2010 N. Huneeus et al. 10.5194/acp-13-6555-2013
48. The role of semi-volatile organic compounds in the mesoscale evolution of biomass burning aerosol: a modeling case study of the 2010 mega-fire event in Russia I. Konovalov et al. 10.5194/acp-15-13269-2015
49. Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model N. Schutgens et al. 10.3390/rs4113528
50. U.K. HiGEM: Impacts of Desert Dust Radiative Forcing in a High-Resolution Atmospheric GCM M. Woodage & S. Woodward 10.1175/JCLI-D-13-00556.1
51. Trends and spatial patterns of fine-resolution aerosol optical depth–derived PM2.5 emissions in the Northeast United States from 2002 to 2013 C. Tang et al. 10.1080/10962247.2016.1218393
52. 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
53. Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem T. Dai et al. 10.5194/acp-21-4357-2021
54. Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis G. de Leeuw et al. 10.1016/j.rse.2013.04.023
55. Estimating radiative forcing efficiency of dust aerosol based on direct satellite observations: case studies over the Sahara and Taklimakan Desert L. Tian et al. 10.5194/acp-21-11669-2021
56. Investigating dominant characteristics of fires across the Amazon during 2005–2014 through satellite data synthesis of combustion signatures W. Tang & A. Arellano 10.1002/2016JD025216
57. An offline constrained data assimilation technique for aerosols: Improving GCM simulations over South Asia using observations from two satellite sensors A. Baraskar et al. 10.1016/j.atmosenv.2016.02.026
58. Subregional inversion of North African dust sources J. Escribano et al. 10.1002/2016JD025020
59. Evaluation Criteria on the Design for Assimilating Remote Sensing Data Using Variational Approaches S. Lu et al. 10.1175/MWR-D-16-0289.1
60. The future of Earth system prediction: Advances in model-data fusion A. Gettelman et al. 10.1126/sciadv.abn3488
61. Revealing important nocturnal and day‐to‐day variations in fire smoke emissions through a multiplatform inversion P. Saide et al. 10.1002/2015GL063737
62. WRF Sensitivity Analysis in Wind and Temperature Fields Simulation for the Northern Sahara and the Mediterranean Basin U. Rizza et al. 10.3390/atmos11030259
63. Regional and Global Emissions of Air Pollutants: Recent Trends and Future Scenarios M. Amann et al. 10.1146/annurev-environ-052912-173303
64. Sensitivity of WRF-Chem model to land surface schemes: Assessment in a severe dust outbreak episode in the Central Mediterranean (Apulia Region) U. Rizza et al. 10.1016/j.atmosres.2017.10.022
65. Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power J. Kaiser et al. 10.5194/bg-9-527-2012
66. A Development of Particulate Matter Forecasting System with Inverse Modeling using Source Contribution D. Choi et al. 10.5572/KOSAE.2018.34.6.889
67. Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types R. Yousefi et al. 10.1016/j.scitotenv.2020.137906