66 citations as recorded by crossref.

1. Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean X. Shen et al. 10.3390/rs10040573
2. An Assessment of Atmospheric and Meteorological Factors Regulating Red Sea Phytoplankton Growth W. Li et al. 10.3390/rs10050673
3. Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth H. Che et al. 10.5194/acp-19-10497-2019
4. Global distribution of aerosol optical depth in 2015 using CALIPSO level 3 data L. Shikwambana & V. Sivakumar 10.1016/j.jastp.2018.04.003
5. 15-year variability of desert dust optical depth on global and regional scales S. Logothetis et al. 10.5194/acp-21-16499-2021
6. Global Clear-Sky Aerosol Speciated Direct Radiative Effects over 40 Years (1980–2019) M. Korras-Carraca et al. 10.3390/atmos12101254
7. Weakened dust activity over China and Mongolia from 2001 to 2020 associated with climate change and land-use management S. Wang et al. 10.1088/1748-9326/ac3b79
8. Estimating Spatio-Temporal Variations of PM2.5 Concentrations Using VIIRS-Derived AOD in the Guanzhong Basin, China K. Zhang et al. 10.3390/rs11222679
9. Long-Term Ground-Based Measurements of Aerosol Optical Depth over Kuwait City P. Kokkalis et al. 10.3390/rs10111807
10. The Trend Reversal of Dust Aerosol Over East Asia and the North Pacific Ocean Attributed to Large‐Scale Meteorology, Deposition, and Soil Moisture J. Guo et al. 10.1029/2019JD030654
11. Climatology of Dust‐Forced Radiative Heating Over the Tibetan Plateau and Its Surroundings T. Wang et al. 10.1029/2020JD032942
12. Changes and Predictions of Vertical Distributions of Global Light-Absorbing Aerosols Based on CALIPSO Observation Z. Song et al. 10.3390/rs12183014
13. Aerosol Physical‐Optical Properties and PBLH Under Different Air Pollution Levels From Ground Lidar and Satellite Observations Over Shouxian Area, China Y. Zhang et al. 10.1029/2021JD035236
14. CALIOP-Based Quantification of Central Asian Dust Transport Y. Han et al. 10.3390/rs14061416
15. Identifying the dominant local factors of 2000–2019 changes in dust loading over East Asia W. Yao et al. 10.1016/j.scitotenv.2021.146064
16. Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China Y. Liu et al. 10.5194/acp-21-12331-2021
17. Analysis of Mineral Aerosol in the Surface Layer over the Caspian Lowland Desert by the Data of 12 Summer Field Campaigns in 2002–2020 O. Chkhetiani et al. 10.3390/atmos12080985
18. Vertical Structures of Dust Aerosols over East Asia Based on CALIPSO Retrievals D. Liu et al. 10.3390/rs11060701
19. A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al. 10.1029/2018JD029929
20. Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations J. Chimot et al. 10.5194/amt-11-2257-2018
21. Effect of Aerosol Vertical Distribution on the Modeling of Solar Radiation I. Fountoulakis et al. 10.3390/rs14051143
22. A First Case Study of CCN Concentrations from Spaceborne Lidar Observations A. Georgoulias et al. 10.3390/rs12101557
23. Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions R. Buchholz et al. 10.1016/j.rse.2020.112275
24. Characteristic dissimilarities during high aerosol loading days between western and eastern Indo-Gangetic Plain K. Shukla et al. 10.1016/j.atmosenv.2021.118837
25. A 3-D evaluation of the MACC reanalysis dust product over Europe, northern Africa and Middle East using CALIOP/CALIPSO dust satellite observations A. Georgoulias et al. 10.5194/acp-18-8601-2018
26. Long-term spatiotemporal variations of aerosol optical depth over Yellow and Bohai Sea X. Shen et al. 10.1007/s11356-019-04203-4
27. Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017 H. Yu et al. 10.5194/acp-20-139-2020
28. The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China C. Fan et al. 10.3390/rs12101613
29. Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China M. Ali et al. 10.1016/j.gsf.2021.101325
30. Global vertically resolved aerosol direct radiation effect from three years of CALIOP data using the FORTH radiation transfer model M. Korras-Carraca et al. 10.1016/j.atmosres.2019.03.024
31. Air Quality Degradation by Mineral Dust over Beijing, Chengdu and Shanghai Chinese Megacities M. Lachatre et al. 10.3390/atmos11070708
32. Forecasting dust impact on solar energy using remote sensing and modeling techniques A. Masoom et al. 10.1016/j.solener.2021.09.033
33. Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types R. Yousefi et al. 10.1016/j.scitotenv.2020.137906
34. Air Quality over China G. de Leeuw et al. 10.3390/rs13173542
35. Intercomparison of in-situ aircraft and satellite aerosol measurements in the stratosphere O. Sandvik et al. 10.1038/s41598-019-52089-6
36. A Global Climatology of Dust Aerosols Based on Satellite Data: Spatial, Seasonal and Inter-Annual Patterns over the Period 2005–2019 M. Gavrouzou et al. 10.3390/rs13030359
37. Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021 G. de Leeuw et al. 10.1016/j.apr.2022.101359
38. Aerosol Trends during the Dusty Season over Iran R. Yousefi et al. 10.3390/rs13061045
39. Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
40. Synergistic Retrieval of Multitemporal Aerosol Optical Depth Over North China Plain Using Geostationary Satellite Data of Himawari-8 S. Shi et al. 10.1029/2017JD027963
41. EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product E. Proestakis et al. 10.5194/acp-19-11743-2019
42. Dissolved Fe Supply to the Central Gulf of Alaska Is Inferred to Be Derived From Alaskan Glacial Dust That Is Not Resolved by Dust Transport Models J. Crusius 10.1029/2021JG006323
43. Cloud ice fraction governs lightning rate at a global scale Y. Han et al. 10.1038/s43247-021-00233-4
44. The Determination of Aerosol Distribution by a No-Blind-Zone Scanning Lidar J. Wang et al. 10.3390/rs12040626
45. Global estimation of clear-sky shortwave aerosol direct radiative effects based on CALIPSO observations Z. Shi et al. 10.1080/01431161.2022.2045042
46. Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017) L. Sogacheva et al. 10.5194/acp-18-11389-2018
47. Spatio-temporal variations and trends of MODIS C6.1 Dark Target and Deep Blue merged aerosol optical depth over China during 2000–2017 G. Xie et al. 10.1016/j.atmosenv.2019.116846
48. Improved inversion of aerosol components in the atmospheric column from remote sensing data Y. Zhang et al. 10.5194/acp-20-12795-2020
49. Atmospheric aerosol pollution across China: a spatiotemporal analysis of satellite-based aerosol optical depth during 2000–2016 Y. Feng et al. 10.1080/17538947.2018.1486892
50. On the retrieval of aerosol optical depth over cryosphere using passive remote sensing L. Mei et al. 10.1016/j.rse.2020.111731
51. Assessment of two intense dust storm characteristics over Indo – Gangetic basin and their radiative impacts: A case study S. Tiwari et al. 10.1016/j.atmosres.2019.05.011
52. Evaluation of the BSC-DREAM8b regional dust model using the 3D LIVAS-CALIPSO product D. Konsta et al. 10.1016/j.atmosenv.2018.09.047
53. Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017) A. Gkikas et al. 10.5194/acp-22-3553-2022
54. Climatological variations in aerosol optical depth and aerosol type identification in Liaoning of Northeast China based on MODIS data from 2002 to 2019 H. Zhao et al. 10.1016/j.scitotenv.2021.146810
55. New insights into the Asian dust cycle derived from CALIPSO lidar measurements Y. Han et al. 10.1016/j.rse.2022.112906
56. ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set A. Gkikas et al. 10.5194/amt-14-309-2021
57. Decadal variations in natural and anthropogenic aerosol optical depth over the Bay of Bengal: the influence of pollutants from Indo-GangeticPlain K. Yadav et al. 10.1007/s11356-021-14703-x
58. Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability Q. Song et al. 10.5194/acp-21-13369-2021
59. Climatology of Asian dust activation and transport potential based on MISR satellite observations and trajectory analysis Y. Yu et al. 10.5194/acp-19-363-2019
60. Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns G. de Leeuw et al. 10.5194/acp-18-1573-2018
61. Long-term variation in aerosol optical properties and their climatic implications over major cities of Pakistan M. Ahmad et al. 10.1016/j.jastp.2020.105419
62. Modeling Dust in East Asia by CESM and Sources of Biases M. Wu et al. 10.1029/2019JD030799
63. Insight into the climatology of different sand-dust aerosol types over the Taklimakan Desert based on the observations from radiosonde and A-train satellites H. Pan et al. 10.1016/j.atmosenv.2020.117705
64. Improved aerosol correction for OMI tropospheric NO<sub>2</sub> retrieval over East Asia: constraint from CALIOP aerosol vertical profile M. Liu et al. 10.5194/amt-12-1-2019
65. Spatiotemporal characteristics of aerosols and their trends over mainland China with the recent Collection 6 MODIS and OMI satellite datasets K. Hu et al. 10.1007/s11356-017-0715-6
66. Direct and semi-direct radiative effect of North African dust in present and future regional climate simulations A. Tsikerdekis et al. 10.1007/s00382-019-04788-z