43 citations as recorded by crossref.

1. Aerosol radiative forcing of forest fires unprecedented in South Korea (2022) captured by Korean geostationary satellites, GK-2A AMI and GK-2B GEMS D. Seong et al. https://doi.org/10.1016/j.envpol.2024.123464
2. Improving MISR AOD Retrievals With Low-Light-Level Corrections for Veiling Light M. Witek et al. https://doi.org/10.1109/TGRS.2017.2727342
3. Introducing the MISR level 2 near real-time aerosol product M. Witek et al. https://doi.org/10.5194/amt-14-5577-2021
4. The regional distribution characteristics of aerosol optical depth over the Tibetan Plateau C. Xu et al. https://doi.org/10.5194/acp-15-12065-2015
5. Investigating the relative responses of regional monsoon dynamics to snow darkening and direct radiative effects of dust and carbonaceous aerosols over the Indian subcontinent S. Das et al. https://doi.org/10.1007/s00382-020-05307-1
6. MISR research-aerosol-algorithm refinements for dark water retrievals J. Limbacher & R. Kahn https://doi.org/10.5194/amt-7-3989-2014
7. Potential sensitivity of photosynthesis and isoprene emission to direct radiative effects of atmospheric aerosol pollution S. Strada & N. Unger https://doi.org/10.5194/acp-16-4213-2016
8. New approach to the retrieval of AOD and its uncertainty from MISR observations over dark water M. Witek et al. https://doi.org/10.5194/amt-11-429-2018
9. Evaluation of the MISR fine resolution aerosol product using MODIS, MISR, and ground observations over China Y. Si et al. https://doi.org/10.1016/j.atmosenv.2019.117229
10. Disentangling temperature and water stress contributions to trends in isoprene emissions using satellite observations of formaldehyde, 2005–2016 S. Strada et al. https://doi.org/10.1016/j.atmosenv.2022.119530
11. Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing T. Eck et al. https://doi.org/10.1029/2018JD028313
12. Exploring the first aerosol indirect effect over Southeast Asia using a 10-year collocated MODIS, CALIOP, and model dataset A. Ross et al. https://doi.org/10.5194/acp-18-12747-2018
13. Use of the CALIOP vertical feature mask for evaluating global aerosol models E. Nowottnick et al. https://doi.org/10.5194/amt-8-3647-2015
14. How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. https://doi.org/10.3390/rs10091326
15. Mesoscale modeling of smoke transport from equatorial Southeast Asian Maritime Continent to the Philippines: First comparison of ensemble analysis with in situ observations C. Ge et al. https://doi.org/10.1002/2016JD026241
16. Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al. https://doi.org/10.1002/qj.3497
17. Correcting for trace gas absorption when retrieving aerosol optical depth from satellite observations of reflected shortwave radiation F. Patadia et al. https://doi.org/10.5194/amt-11-3205-2018
18. Evaluation of the spatiotemporal changes in ecological quality and public health status: a case study of Jharkhand State in India L. Mohammad et al. https://doi.org/10.1007/s10668-025-06285-2
19. Modulation of the ENSO on Winter Aerosol Pollution in the Eastern Region of China J. Sun et al. https://doi.org/10.1029/2018JD028534
20. Has China been exporting less particulate air pollution over the past decade? J. Zhang et al. https://doi.org/10.1002/2017GL072617
21. Direct Estimation of Land Surface Albedo From Simultaneous MISR Data T. He et al. https://doi.org/10.1109/TGRS.2017.2648847
22. An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences P. Lynch et al. https://doi.org/10.5194/gmd-9-1489-2016
23. Simulations of the effect of intensive biomass burning in July 2015 on Arctic radiative budget K. Markowicz et al. https://doi.org/10.1016/j.atmosenv.2017.10.015
24. Variability of Aerosols and Clouds Over North Indian and Myanmar During the COVID-19 Lockdown Period D. Lawand et al. https://doi.org/10.3389/fenvs.2022.838778
25. PM2.5 in India: spatiotemporal trends, source contributions, and health impacts S. Santra https://doi.org/10.1007/s10661-025-14832-7
26. Contrasting cloud composition between coupled and decoupled marine boundary layer clouds Z. Wang et al. https://doi.org/10.1002/2016JD025695
27. Local Emissions and Regional Wildfires Influence Refractory Black Carbon Observations Near Palmer Station, Antarctica A. Khan et al. https://doi.org/10.3389/feart.2019.00049
28. An analysis of global aerosol type as retrieved by MISR R. Kahn & B. Gaitley https://doi.org/10.1002/2015JD023322
29. Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. https://doi.org/10.5194/acp-18-10615-2018
30. Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product M. Garay et al. https://doi.org/10.5194/amt-13-593-2020
31. Post-processing to remove residual clouds from aerosol optical depth retrieved using the Advanced Along Track Scanning Radiometer L. Sogacheva et al. https://doi.org/10.5194/amt-10-491-2017
32. Development and assessment of a higher-spatial-resolution (4.4 km) MISR aerosol optical depth product using AERONET-DRAGON data M. Garay et al. https://doi.org/10.5194/acp-17-5095-2017
33. Aerosol Optical Depth Retrieval over East Asia Using Himawari-8/AHI Data W. Zhang et al. https://doi.org/10.3390/rs10010137
34. Development of an Ozone Monitoring Instrument (OMI) aerosol index (AI) data assimilation scheme for aerosol modeling over bright surfaces – a step toward direct radiance assimilation in the UV spectrum J. Zhang et al. https://doi.org/10.5194/gmd-14-27-2021
35. Simulation of long-term direct aerosol radiative forcing over the arctic within the framework of the iAREA project K. Markowicz et al. https://doi.org/10.1016/j.atmosenv.2020.117882
36. Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al. https://doi.org/10.1016/j.atmosres.2019.05.023
37. Investigating size-segregated sources of elemental composition of particulate matter in the South China Sea during the 2011 Vasco cruise M. Hilario et al. https://doi.org/10.5194/acp-20-1255-2020
38. Near‐Surface Refractory Black Carbon Observations in the Atmosphere and Snow in the McMurdo Dry Valleys, Antarctica, and Potential Impacts of Foehn Winds A. Khan et al. https://doi.org/10.1002/2017JD027696
39. Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm J. Huang et al. https://doi.org/10.5194/amt-11-5813-2018
40. Impact of North American intense fires on aerosol optical properties measured over the European Arctic in July 2015 K. Markowicz et al. https://doi.org/10.1002/2016JD025310
41. Constraining chemical transport PM2.5 modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley M. Friberg et al. https://doi.org/10.5194/acp-18-12891-2018
42. Estimation of ground-level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea S. Park et al. https://doi.org/10.5194/acp-19-1097-2019
43. A cloud identification algorithm over the Arctic for use with AATSR–SLSTR measurements S. Jafariserajehlou et al. https://doi.org/10.5194/amt-12-1059-2019