62 citations as recorded by crossref.

1. Transfer learning used to analyze the dynamic evolution of the dust aerosol Y. Ma et al.
2. Comparative study of aerosol and cloud detected by CALIPSO and OMI Z. Chen et al.
3. The CALIPSO retrieved spatiotemporal and vertical distributions of AOD and extinction coefficient for different aerosol types during 2007–2019: A recent perspective over global and regional scales H. Pan et al.
4. Retrieval of aerosol microphysical and optical properties above liquid clouds from POLDER/PARASOL polarization measurements F. Waquet et al.
5. Columnar aerosol characteristics and radiative forcing over the Doon Valley in the Shivalik range of northwestern Himalayas U. Dumka et al.
6. Dust semi-direct effects: low-level cloud response to free-tropospheric dust-induced longwave radiation over the North Atlantic Ocean S. Pandey & A. Adebiyi
7. An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data B. Chen et al.
8. A global survey of cloud overlap based on CALIPSO and CloudSat measurements J. Li et al.
9. Assessing the benefits of Imaging Infrared Radiometer observations for the CALIOP version 4 cloud and aerosol discrimination algorithm T. Vaillant de Guélis et al.
10. Vertical distribution of optical and micro-physical properties of ambient aerosols during dry haze periods in Shanghai Y. Chen et al.
11. A comparison of the physical and optical properties of anthropogenic air pollutants and mineral dust over Northwest China X. Wang et al.
12. Comparison of Backscatter Coefficient at 1064 nm from CALIPSO and Ground–Based Ceilometers over Coastal and Non–Coastal Regions T. Baroni et al.
13. A global satellite view of the seasonal distribution of mineral dust and its correlation with atmospheric circulation O. Alizadeh-Choobari et al.
14. Improvement of CALIOP Cloud Masking Algorithms for Better Estimation of Dust Extinction Profiles Y. JIN et al.
15. Optimizing MERRA-2 aerosol extinction coefficient by fusing CALIPSO and SAGE observations with machine learning J. Yang et al.
16. Ground-, satellite- and simulation-based analysis of a strong dust event over Abastumani, Georgia, during May 2009 P. Kokkalis et al.
17. Using Lidar and Historical Similar Meteorological Fields to Evaluate the Impact of Anthropogenic Control on Dust Weather During COVID-19 B. Chen et al.
18. A scheme to detect the intensity of dusty weather by applying microwave radars and lidar X. Gao & L. Xie
19. An overview of passive and active dust detection methods using satellite measurements B. Chen et al.
20. The depolarization–attenuated backscatter relationship for dust plumes T. Zhou et al.
21. Detection of anthropogenic dust using CALIPSO lidar measurements J. Huang et al.
22. Long-term trends of dust events over Tibetan Plateau during 1961–2010 L. Kang et al.
23. Developing a dust storm detection method combining Support Vector Machine and satellite data in typical dust regions of Asia L. Shi et al.
24. A New Technique Using Infrared Satellite Measurements to Improve the Accuracy of the CALIPSO Cloud-Aerosol Discrimination Method A. Naeger et al.
25. Multiyear satellite and surface observations of cloud fraction over China J. Ma et al.
26. Detection of aerosol pollution sources during sandstorms in Northwestern China using remote sensed and model simulated data M. Filonchyk et al.
27. A review of aerosol optical properties and radiative effects Y. Liu et al.
28. The relationship between anthropogenic dust and population over global semi-arid regions X. Guan et al.
29. Synergistic Use of Remote Sensing and Modeling for Tracing Dust Storms in the Mediterranean D. Kaskaoutis et al.
30. Effect of major dust storm on optical, physical, and radiative properties of aerosols over coastal and urban environments in Western India G. Aher et al.
31. Discrimination and validation of clouds and dust aerosol layers over the Sahara desert with combined CALIOP and IIR measurements J. Liu et al.
32. Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part II: Results over oceans A. Garnier et al.
33. Aerosol Optical Properties over China from RAMS-CMAQ Model Compared with CALIOP Observations T. Wu et al.
34. Global distribution of aerosol optical depth in 2015 using CALIPSO level 3 data L. Shikwambana & V. Sivakumar
35. Ten-year global particulate mass concentration derived from space-borne CALIPSO lidar observations X. Ma et al.
36. Lidar methods for observing mineral dust N. Sugimoto & Z. Huang
37. Comparisons of PBL heights derived from CALIPSO and ECMWF reanalysis data over China J. Liu et al.
38. Dust aerosol effects on cirrus and altocumulus clouds in Northwest China W. Wang et al.
39. Seasonal variation of surface and vertical profile of aerosol properties over a tropical urban station Hyderabad, India P. Sinha et al.
40. A new algorithm for detecting cloud height using OMPS/LP measurements Z. Chen et al.
41. Sensitivity of simulating a dust storm over Central Asia to different dust schemes using the WRF-Chem model T. Yuan et al.
42. Dust aerosol emission over the Sahara during summertime from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) observations M. Todd & C. Cavazos-Guerra
43. Cloud–Aerosol Classification Based on the U-Net Model and Automatic Denoising CALIOP Data X. Zhou et al.
44. Role of radiatively forced temperature changes in enhanced semi-arid warming in the cold season over east Asia X. Guan et al.
45. Atmospheric scene classification using CALIPSO spaceborne lidar measurements in the Middle East and North Africa (MENA), and India F. Brakhasi et al.
46. Spatial–temporal characteristics of haze and vertical distribution of aerosols over the Yangtze River Delta of China Y. Cao et al.
47. Comparison of mixing layer heights determined using LiDAR, radiosonde, and numerical weather prediction model at a rural site in southern India R. Vishnu et al.
48. Dryland expansion in northern China from 1948 to 2008 Y. Li et al.
49. Assessment of regional climatic changes in the Eastern Himalayan region: a study using multi-satellite remote sensing data sets A. Agrawal et al.
50. Vertical distributions of aerosol optical properties during haze and floating dust weather in Shanghai Q. Liu et al.
51. Distribution, Transport, and Impact on Air Quality of Two Typical Dust Events in China in 2021 Q. Ye & X. Zheng
52. Automated detection of cloud and aerosol features with SACOL micro-pulse lidar in northwest China H. Xie et al.
53. Dust aerosol impact on the retrieval of cloud top height from satellite observations of CALIPSO, CloudSat and MODIS W. Wang et al.
54. Identifying sources of dust based on CALIPSO, MODIS satellite data and backward trajectory model S. Zhao et al.
55. The thermal infrared optical depth of mineral dust retrieved from integrated CALIOP and IIR observations J. Zheng et al.
56. Impacts of Asian dust on the determination of cloud thermodynamic phase from satellite observations H. Jin et al.
57. Short-cut transport path for Asian dust directly to the Arctic: a case study Z. Huang et al.
58. Investigating aerosol vertical distribution using CALIPSO time series over the Middle East and North Africa (MENA), Europe, and India: A BFAST-based gradual and abrupt change detection F. Brakhasi et al.
59. Dust Identification over Arid and Semiarid Regions of Asia Using AIRS Thermal Infrared Channels H. Xu et al.
60. Estimation of the Aerosol Radiative Effect over the Tibetan Plateau Based on the Latest CALIPSO Product R. Jia et al.
61. Discriminating between clouds and aerosols in the CALIOP version 4.1 data products Z. Liu et al.
62. Estimation of Atmospheric PM10 Concentration in China Using an Interpretable Deep Learning Model and Top‐of‐the‐Atmosphere Reflectance Data From China’s New Generation Geostationary Meteorological Satellite, FY‐4A B. Chen et al.