55 citations as recorded by crossref.

1. Retrieving bbp and POC from CALIOP: A deep neural network approach Z. Zhang et al. 10.1016/j.rse.2023.113482
2. ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532 nm polarization and the high-spectral-resolution channel F. Meng et al. 10.5194/amt-18-2021-2025
3. Retrieving the microphysical properties of opaque liquid water clouds from CALIOP measurements Y. Zhang et al. 10.1364/OE.27.034126
4. Background Signal Characterization Analysis for ACDL/DQ-1 at Multichannel of 532 nm F. Meng et al. 10.1109/TGRS.2025.3573939
5. Dust storm simulation over the Sahara Desert (Moroccan and Mauritanian regions) using HYSPLIT A. Qor‐el‐aine et al. 10.1002/asl.1076
6. High-Resolution Detection of Stratospheric Aerosols in CALIPSO Atmospheric Lidar Data Facilitated by the CALIOP-Density-Dimension Algorithm U. Herzfeld et al. 10.1109/TGRS.2025.3569546
7. Retrieval and Validation of Cloud Top Temperature from the Geostationary Satellite INSAT-3D C. Lima et al. 10.3390/rs11232811
8. Dust Lidar Ratios Retrieved from the CALIOP Measurements Using the MODIS AOD as a Constraint M. Kim et al. 10.3390/rs12020251
9. Climatology of aerosol types and their vertical distribution over East Asia based on CALIPSO lidar measurements L. Gui et al. 10.1002/joc.7599
10. Dust transport and advection measurement with spaceborne lidars ALADIN and CALIOP and model reanalysis data G. Dai et al. 10.5194/acp-22-7975-2022
11. Comparison of V4 and V3 CALIOP (L3) aerosol products: A global perspective V. Sreekanth & P. Kulkarni 10.1016/j.rsase.2020.100412
12. Combining deep learning with physical parameters in POC and PIC inversion from spaceborne lidar CALIOP Z. Zhang et al. 10.1016/j.isprsjprs.2024.05.007
13. New Ocean Subsurface Optical Properties From Space Lidars: CALIOP/CALIPSO and ATLAS/ICESat‐2 X. Lu et al. 10.1029/2021EA001839
14. Empirical evidence for deep convection being a major source of stratospheric ice clouds over North America L. Zou et al. 10.5194/acp-21-10457-2021
15. Improved Hydrometeor Detection Method: An Application to CloudSat X. Hu et al. 10.1029/2019EA000900
16. ICESat‐2 Atmospheric Channel Description, Data Processing and First Results S. Palm et al. 10.1029/2020EA001470
17. 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
18. Global Ocean Studies from CALIOP/CALIPSO by Removing Polarization Crosstalk Effects X. Lu et al. 10.3390/rs13142769
19. A novel method of identifying and analysing oil smoke plumes based on MODIS and CALIPSO satellite data A. Mereuţă et al. 10.5194/acp-22-5071-2022
20. Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter R. Ryan et al. 10.5194/amt-17-6517-2024
21. Methodology to obtain highly resolved SO2 vertical profiles for representation of volcanic emissions in climate models O. Sandvik et al. 10.5194/amt-14-7153-2021
22. Aperiodic optical phased array with wide field of view and high sidelobe suppression ratio based on SiN-on-SOI platform J. Wang et al. 10.1364/OE.545232
23. Global 3-D distribution of aerosol composition by synergistic use of CALIOP and MODIS observations R. Kudo et al. 10.5194/amt-16-3835-2023
24. Use of spectral cloud emissivities and their related uncertainties to infer ice cloud boundaries: methodology and assessment using CALIPSO cloud products H. Kim et al. 10.5194/amt-12-5039-2019
25. Revisiting global satellite observations of stratospheric cirrus clouds L. Zou et al. 10.5194/acp-20-9939-2020
26. Improved multivariable algorithms for estimating oceanic particulate organic carbon concentration from optical backscattering and chlorophyll-a measurements D. Koestner et al. 10.3389/fmars.2023.1197953
27. Application of high-dimensional fuzzy k-means cluster analysis to CALIOP/CALIPSO version 4.1 cloud–aerosol discrimination S. Zeng et al. 10.5194/amt-12-2261-2019
28. A Level 3 monthly gridded ice cloud dataset derived from 12 years of CALIOP measurements D. Winker et al. 10.5194/essd-16-2831-2024
29. A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. 10.5194/amt-17-3625-2024
30. CALIOP retrieval of droplet effective radius accounting for cloud vertical homogeneity L. Zang et al. 10.1364/OE.427022
31. Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data J. Yorks et al. 10.3390/atmos12050606
32. Nearshore bathymetry and seafloor property studies from Space lidars: CALIPSO and ICESat-2 X. Lu et al. 10.1364/OE.471444
33. Machine learning-based generation of high-resolution 3D full-coverage aerosol distribution data over China using multisource data W. Li et al. 10.1016/j.rse.2025.114772
34. CALIOP V4 cloud thermodynamic phase assignment and the impact of near-nadir viewing angles M. Avery et al. 10.5194/amt-13-4539-2020
35. A global view on stratospheric ice clouds: assessment of processes related to their occurrence based on satellite observations L. Zou et al. 10.5194/acp-22-6677-2022
36. Aerosol optical property measurement using the orbiting high-spectral-resolution lidar on board the DQ-1 satellite: retrieval and validation C. Zha et al. 10.5194/amt-17-4425-2024
37. A new lidar inversion method using a surface reference target applied to the backscattering coefficient and lidar ratio retrievals of a fog-oil plume at short range F. Gaudfrin et al. 10.5194/amt-13-1921-2020
38. Assessing the benefits of Imaging Infrared Radiometer observations for the CALIOP version 4 cloud and aerosol discrimination algorithm T. Vaillant de Guélis et al. 10.5194/amt-15-1931-2022
39. Dust exposure linkages among Asian countries C. Zhou et al. 10.1016/j.jclepro.2024.142493
40. CALIPSO lidar calibration at 1064 nm: version 4 algorithm M. Vaughan et al. 10.5194/amt-12-51-2019
41. Aerosol vertical profile variations with seasons, air mass movements and local PM2.5 levels in three large China cities L. Wang et al. 10.1016/j.atmosenv.2020.117329
42. Combining CloudSat/CALIPSO and MODIS measurements to reconstruct tropical convective cloud structure K. Yang et al. 10.1016/j.rse.2023.113478
43. Assessing CALIOP-Derived Planetary Boundary Layer Height Using Ground-Based Lidar M. Kim et al. 10.3390/rs13081496
44. 基于陆地生态系统碳监测卫星的气溶胶光学参数反演与验证研究 陈. Chen Binglong et al. 10.3788/LOP241255
45. Multi‐Year Seasonal Trends in Sea Ice, Chlorophyll Concentration, and Marine Aerosol Optical Depth in the Bellingshausen Sea S. Dasarathy et al. 10.1029/2021JD034737
46. Chlorophyll and POC in polar regions derived from spaceborne lidar Z. Zhang et al. 10.3389/fmars.2023.1050087
47. Climatology and trends of cirrus geometrical and optical properties in the Amazon region from 7-yr of CALIPSO observations B. Portella & H. Barbosa 10.1016/j.atmosres.2023.107167
48. Seasonal to sub-seasonal variations of the Asian Tropopause Aerosols Layer affected by the deep convection, surface pollutants and precipitation D. Wu et al. 10.1016/j.jes.2021.07.022
49. Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra T. Knepp et al. 10.5194/amt-15-5235-2022
50. Seasonal distributions of ocean particulate optical properties from spaceborne lidar measurements in Mediterranean and Black sea D. Dionisi et al. 10.1016/j.rse.2020.111889
51. The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. 10.5194/amt-11-6107-2018
52. Extinction and optical depth retrievals for CALIPSO's Version 4 data release S. Young et al. 10.5194/amt-11-5701-2018
53. Discriminating between clouds and aerosols in the CALIOP version 4.1 data products Z. Liu et al. 10.5194/amt-12-703-2019
54. CALIPSO lidar calibration at 532 nm: version 4 nighttime algorithm J. Kar et al. 10.5194/amt-11-1459-2018
55. Laser pulse bidirectional reflectance from CALIPSO mission X. Lu et al. 10.5194/amt-11-3281-2018