53 citations as recorded by crossref.

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2. Development of an electronic load I-V curve tracer to investigate the impact of Harmattan aerosol loading on PV module pern2tkformance in southwest Nigeria A. Willoughby & M. Osinowo 10.1016/j.solener.2018.03.047
3. New approach to monitor transboundary particulate pollution over Northeast Asia M. Park et al. 10.5194/acp-14-659-2014
4. A Study on Influence of Meteorological Patterns on Data Assimilation Effect using the Air Quality Prediction Model T. Kim et al. 10.5572/KOSAE.2019.35.1.049
5. Interannual variation in the fine-mode MODIS aerosol optical depth and its relationship to the changes in sulfur dioxide emissions in China between 2000 and 2010 S. Itahashi et al. 10.5194/acp-12-2631-2012
6. Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models S. Park et al. 10.1016/j.scitotenv.2020.136516
7. Impacts of uncertainties in emissions on aerosol data assimilation and short-term PM2.5 predictions over Northeast Asia S. Lee et al. 10.1016/j.atmosenv.2021.118921
8. Importance of Bias Correction in Data Assimilation of Multiple Observations Over Eastern China Using WRF‐Chem/DART C. Ma et al. 10.1029/2019JD031465
9. Aerosol Optical and Microphysical Properties of Four Typical Sites of SONET in China Based on Remote Sensing Measurements Y. Xie et al. 10.3390/rs70809928
10. Improved Dust Forecast by Assimilating MODIS IR-Based Nighttime AOT in the ADAM2 Model S. Lee et al. 10.2151/sola.2017-035
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14. Integrated emission inventory and modeling to assess distribution of particulate matter mass and black carbon composition in Southeast Asia D. Permadi et al. 10.5194/acp-18-2725-2018
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18. 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
19. Modelling Saharan dust transport into the Mediterranean basin with CMAQ D. Paz et al. 10.1016/j.atmosenv.2013.01.013
20. Use of Satellite Data for Air Pollution Modeling in Bulgaria E. Georgieva et al. 10.3390/earth2030034
21. GIST-PM-Asia v1: development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia S. Lee et al. 10.5194/gmd-9-17-2016
22. Improvement of the Aerosol Forecast and Analysis Over East Asia With Joint Assimilation of Two Geostationary Satellite Observations Y. Cheng et al. 10.1029/2022GL099908
23. The Impact of the Direct Effect of Aerosols on Meteorology and Air Quality Using Aerosol Optical Depth Assimilation During the KORUS‐AQ Campaign J. Jung et al. 10.1029/2019JD030641
24. Air quality modeling in East Asia: present issues and future directions R. Park & S. Kim 10.1007/s13143-014-0030-9
25. Measurement of Gas and Aerosol Phase Absorption Spectra across the Visible and Near-IR Using Supercontinuum Photoacoustic Spectroscopy J. Radney & C. Zangmeister 10.1021/acs.analchem.5b01541
26. Aerosol pollution and its potential impacts on outdoor human thermal sensation: East Asian perspectives K. Wai et al. 10.1016/j.envres.2017.07.036
27. Impacts of a newly-developed aerosol climatology on numerical weather prediction using a global atmospheric forecasting model I. Choi et al. 10.1016/j.atmosenv.2018.10.019
28. Recent changes of trans-boundary air pollution over the Yellow Sea: Implications for future air quality in South Korea P. Bhardwaj et al. 10.1016/j.envpol.2019.01.048
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30. Comparison of PMCAMx aerosol optical depth predictions over Europe with AERONET and MODIS measurements A. Panagiotopoulou et al. 10.5194/gmd-9-4257-2016
31. Aerosol Optical Properties over China from RAMS-CMAQ Model Compared with CALIOP Observations T. Wu et al. 10.3390/atmos8100201
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34. Legacy of aerosol radiative effect predominates daytime dust loading evolution X. Zhang et al. 10.1016/j.atmosres.2024.107735
35. Simulation of the interannual variations of aerosols in China: role of variations in meteorological parameters Q. Mu & H. Liao 10.5194/acp-14-9597-2014
36. Quantification of regional contributions to fine particles at downwind areas under Asian continental outflows during winter 2014 J. Jung et al. 10.1016/j.atmosenv.2019.04.062
37. Development of a daily PM<sub>10</sub> and PM<sub>2.5</sub> prediction system using a deep long short-term memory neural network model H. Kim et al. 10.5194/acp-19-12935-2019
38. Application of a Partial Convolutional Neural Network for Estimating Geostationary Aerosol Optical Depth Data Y. Lops et al. 10.1029/2021GL093096
39. Impact of assimilating multi-source observations on meteorological and PM2.5 forecast over Central China J. Liu et al. 10.1016/j.atmosres.2020.104945
40. A Review of Data Assimilation on Aerosol Optical, Radiative, and Climatic Effects Study Y. Cheng et al. 10.1007/s41810-022-00142-9
41. Contribution of ammonium nitrate to aerosol optical depth and direct radiative forcing by aerosols over East Asia R. Park et al. 10.5194/acp-14-2185-2014
42. Using Objective Analysis for the Assimilation of Satellite-Derived Aerosol Products to Improve PM2.5 Predictions over Europe M. Chrit & M. Majdi 10.3390/atmos13050763
43. 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
44. Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models M. Bocquet et al. 10.5194/acp-15-5325-2015
45. Ozone, nitrogen dioxide, and PM2.5 estimation from observation-model machine learning fusion over S. Korea: Influence of observation density, chemical transport model resolution, and geostationary remotely sensed AOD B. Tang et al. 10.1016/j.atmosenv.2024.120603
46. Impact of the OMI aerosol optical depth on analysis increments through coupled meteorology–aerosol data assimilation for an Asian dust storm E. Lee et al. 10.1016/j.rse.2017.02.013
47. Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues K. Lee et al. 10.5194/gmd-13-1055-2020
48. Optical and hygroscopic properties of long‐range transported haze plumes observed at Deokjeok Island off the west coast of the Korean Peninsula under the Asian continental outflows J. Jung et al. 10.1002/2015JD023154
49. Relative effects of open biomass burning and open crop straw burning on haze formation over central and eastern China: modeling study driven by constrained emissions K. Mehmood et al. 10.5194/acp-20-2419-2020
50. High spatiotemporal resolution estimation of AOD from Himawari-8 using an ensemble machine learning gap-filling method A. Chen et al. 10.1016/j.scitotenv.2022.159673
51. Hourly Aerosol Assimilation of Himawari‐8 AOT Using the Four‐Dimensional Local Ensemble Transform Kalman Filter T. Dai et al. 10.1029/2018MS001475
52. Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM<sub>2.5</sub> S. Park et al. 10.5194/gmd-15-2773-2022
53. Spatial and Temporal Variations of Atmospheric Aerosol in Osaka M. Nakata et al. 10.3390/atmos4020157