20 citations as recorded by crossref.

1. A Global Bottom‐Up Approach to Estimate Fuel Consumed by Fires Using Above Ground Biomass Observations F. Di Giuseppe et al. 10.1029/2021GL095452
2. Worldwide validation of CAMS and MERRA-2 reanalysis aerosol optical depth products using 15 years of AERONET observations C. Gueymard & D. Yang 10.1016/j.atmosenv.2019.117216
3. 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
4. Length Scale Analyses of Background Error Covariances for EnKF and EnSRF Data Assimilation S. Park et al. 10.3390/atmos13020160
5. Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring S. Ahn et al. 10.3390/s24051490
6. Modeling an Extreme Dust Deposition Event to the French Alpine Seasonal Snowpack in April 2018: Meteorological Context and Predictions of Dust Deposition F. Baladima et al. 10.1029/2021JD035745
7. Machine learning for observation bias correction with application to dust storm data assimilation J. Jin et al. 10.5194/acp-19-10009-2019
8. Factors affecting particle number size distributions at a suburban and a rural site at the Anatolian Plateau E. Uzunpınar et al. 10.1016/j.apr.2022.101422
9. Performance comparisons of the three data assimilation methods for improved predictability of PM2·5: Ensemble Kalman filter, ensemble square root filter, and three-dimensional variational methods U. Dash et al. 10.1016/j.envpol.2023.121099
10. Modification of Saharan dust size distribution during its transport over the Anatolian Plateau E. Uzunpinar et al. 10.1016/j.scitotenv.2023.164646
11. Use of Satellite Data for Air Pollution Modeling in Bulgaria E. Georgieva et al. 10.3390/earth2030034
12. Modelling the 2021 East Asia super dust storm using FLEXPART and FLEXDUST and its comparison with reanalyses and observations H. Tang et al. 10.3389/fenvs.2022.1013875
13. 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
14. Transport of Mineral Dust Into the Arctic in Two Reanalysis Datasets of Atmospheric Composition S. Böö et al. 10.16993/tellusb.1866
15. A new threshold free dust storm detection index based on MODIS reflectance and thermal bands A. Jebali et al. 10.1080/15481603.2021.1988428
16. A three-dimensional variational data assimilation system for aerosol optical properties based on WRF-Chem v4.0: design, development, and application of assimilating Himawari-8 aerosol observations D. Wang et al. 10.5194/gmd-15-1821-2022
17. Worldwide validation of 8 satellite-derived and reanalysis solar radiation products: A preliminary evaluation and overall metrics for hourly data over 27 years D. Yang & J. Bright 10.1016/j.solener.2020.04.016
18. The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007–2016) E. Di Tomaso et al. 10.5194/essd-14-2785-2022
19. Assimilation of Aerosol Optical Depth Into the Warn‐on‐Forecast System for Smoke (WoFS‐Smoke) T. Jones et al. 10.1029/2022JD037454
20. Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First Validation M. Grzegorski et al. 10.3390/rs14010085