50 citations as recorded by crossref.

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2. A synthetic data set of high-spectral-resolution infrared spectra for the Arctic atmosphere C. Cox et al. 10.5194/essd-8-199-2016
3. Classification of Cloud Phase Using Combined Ground-Based Polarization Lidar and Millimeter Cloud Radar Observations Over the Tibetan Plateau Y. Bian et al. 10.1109/TGRS.2023.3313798
4. A new CCN activation parameterization and its potential influences on aerosol indirect effects Y. Wang et al. 10.1016/j.atmosres.2021.105491
5. Automated detection of cloud and aerosol features with SACOL micro-pulse lidar in northwest China H. Xie et al. 10.1364/OE.25.030732
6. Three‐Year Continuous Observation of Pure and Polluted Dust Aerosols Over Northwest China Using the Ground‐Based Lidar and Sun Photometer Data Z. Zhang et al. 10.1029/2018JD028957
7. A Novel Machine Learning Algorithm for Cloud Detection Using AERI Measurement Data L. Liu et al. 10.3390/rs14112589
8. Toward Understanding the Properties of High Ice Clouds at the Naqu Site on the Tibetan Plateau Using Ground-Based Active Remote Sensing Measurements Obtained during a Short Period in July 2014 C. Zhao et al. 10.1175/JAMC-D-16-0038.1
9. MMCR-based characteristic properties of non-precipitating cloud liquid droplets at Naqu site over Tibetan Plateau in July 2014 C. Zhao et al. 10.1016/j.atmosres.2017.02.002
10. Observations of Fog‐Aerosol Interactions Over Central Greenland H. Guy et al. 10.1029/2023JD038718
11. Robust Lidar-Radar Composite Cloud Boundary Detection Method With Rainfall Pixels Removal W. Zou et al. 10.1109/TGRS.2024.3476127
12. Influences of atmospheric reanalysis on the accuracy of clear-sky irradiance estimates: Comparing MERRA-2 and CAMS D. Fu et al. 10.1016/j.atmosenv.2022.119080
13. An improved algorithm for polar cloud-base detection by ceilometer over the ice sheets K. Van Tricht et al. 10.5194/amt-7-1153-2014
14. Spatiotemporal distributions of cloud properties over China based on Himawari-8 advanced Himawari imager data Y. Yang et al. 10.1016/j.atmosres.2020.104927
15. Consistency test of precipitating ice cloud retrieval properties obtained from the observations of different instruments operating at Dome C (Antarctica) G. Di Natale et al. 10.5194/amt-15-7235-2022
16. Using Downwelling Far- and Thermal-Infrared Hyperspectral Radiance for Cloud Phase Classification in the Antarctic H. Ren et al. 10.3390/rs16010071
17. Observation of aerosol–cloud interaction over New York City using synergetic ground-based remote sensing systems Z. Han et al. 10.1117/1.JRS.10.016023
18. ResAG-UNet: A Novel Residual Attention Gated UNet for Cloud Segmentation in Sky Image A. Kumar et al. 10.1109/JPHOTOV.2024.3485188
19. Improved retrieval of cloud base heights from ceilometer using a non-standard instrument method Y. Wang et al. 10.1016/j.atmosres.2017.11.021
20. Integration of cloud top heights retrieved from FY-2 meteorological satellite, radiosonde, and ground-based millimeter wavelength cloud radar observations Y. Wang et al. 10.1016/j.atmosres.2018.07.025
21. Influence of aerosol physico-chemical properties on cloud microphysical parameters perceived using in-situ high altitude observations P. Leena et al. 10.1016/j.atmosres.2022.106111
22. SegCloud: a novel cloud image segmentation model using a deep convolutional neural network for ground-based all-sky-view camera observation W. Xie et al. 10.5194/amt-13-1953-2020
23. A Novel Liquid Water Content Retrieval Method Based on Mass Absorption for Single-Wavelength Cloud Radar J. Ge et al. 10.1109/TGRS.2023.3278735
24. Fifteen‐year statistical analysis of cloud characteristics over China using Terra and Aqua Moderate Resolution Imaging Spectroradiometer observations C. Zhao et al. 10.1002/joc.5975
25. Cloud Microphysical Properties Retrieved from Downwelling Infrared Radiance Measurements Made at Eureka, Nunavut, Canada (2006–09) C. Cox et al. 10.1175/JAMC-D-13-0113.1
26. Machine learning-based retrieval of day and night cloud macrophysical parameters over East Asia using Himawari-8 data Y. Yang et al. 10.1016/j.rse.2022.112971
27. A new multispectral cloud retrieval method for ship‐based solar transmissivity measurements M. Brückner et al. 10.1002/2014JD021775
28. CALIOP retrieval of droplet effective radius accounting for cloud vertical homogeneity L. Zang et al. 10.1364/OE.427022
29. Toward autonomous surface-based infrared remote sensing of polar clouds: retrievals of cloud optical and microphysical properties P. Rowe et al. 10.5194/amt-12-5071-2019
30. Evaluation of Cloud Microphysical Properties Derived From MODIS and Himawari‐8 Using In Situ Aircraft Measurements Over the Southern Ocean L. Zhao et al. 10.1029/2020EA001137
31. Measurement and Analysis of the Microphysical Properties of Arctic Precipitation Showing Frequent Occurrence of Riming K. Fitch & T. Garrett 10.1029/2021JD035980
32. Confidence and Error Analyses of the Radiosonde and Ka-Wavelength Cloud Radar for Detecting the Cloud Vertical Structure Y. Yuan et al. 10.3390/rs14184462
33. A Case Study of Stratus Cloud Properties Using In Situ Aircraft Observations over Huanghua, China C. Zhao et al. 10.3390/atmos10010019
34. Synoptic Conditions, Clouds, and Sea Ice Melt Onset in the Beaufort and Chukchi Seasonal Ice Zone Z. Liu & A. Schweiger 10.1175/JCLI-D-16-0887.1
35. Retrieving the microphysical properties of opaque liquid water clouds from CALIOP measurements Y. Zhang et al. 10.1364/OE.27.034126
36. This is FAST: multivariate Full-permutAtion based Stochastic foresT method—improving the retrieval of fine-mode aerosol microphysical properties with multi-wavelength lidar N. Wang et al. 10.1016/j.rse.2022.113226
37. Assessment of Geostationary Satellite Cloud Effective Radius over East China with In Situ Aircraft Measurements Q. Zhang et al. 10.1007/s13351-025-4164-8
38. A robust low-level cloud and clutter discrimination method for ground-based millimeter-wavelength cloud radar X. Hu et al. 10.5194/amt-14-1743-2021
39. Cloud properties and dynamics over the Tibetan Plateau – A review Y. Wu et al. 10.1016/j.earscirev.2023.104633
40. Ka-Band Cloud Radar Meteorological Echo Dataset With Complex Weather Coverage: Baseline Models for Deep Learning Applications W. Zou et al. 10.1109/TGRS.2025.3577556
41. Aerosol properties and their influences on low warm clouds during the Two-Column Aerosol Project J. Liu & Z. Li 10.5194/acp-19-9515-2019
42. Relationship Between Wintertime Leads and Low Clouds in the Pan‐Arctic X. Li et al. 10.1029/2020JD032595
43. Comparison of mid-latitude single- and mixed-phase cloud optical depth from co-located infrared spectrometer and backscatter lidar measurements G. Di Natale et al. 10.5194/amt-14-6749-2021
44. Cloud Phase Classification Based on the Submillimeter and Microwave Radiometer Synergistic Observations P. Dong et al. 10.1109/LGRS.2024.3450872
45. The two-stream δ-Eddington approximation to simulate the far infrared Earth spectrum for the simultaneous atmospheric and cloud retrieval G. Di Natale et al. 10.1016/j.jqsrt.2020.106927
46. A case study of microphysical properties and particle habit classification in summer stratiform clouds with embedded convection in northern China L. Wei et al. 10.1016/j.atmosres.2025.108137
47. Cloud liquid water path in the sub-Arctic region of Europe as derived from ground-based and space-borne remote observations V. Kostsov et al. 10.5194/amt-11-5439-2018
48. Estimation of the Dust Aerosol Shortwave Direct Forcing Over Land Based on an Equi‐albedo Method From Satellite Measurements L. Tian et al. 10.1029/2019JD030974
49. Effects of Arctic haze on surface cloud radiative forcing C. Zhao & T. Garrett 10.1002/2014GL062015
50. Texture Feature Extraction Method for Ground Nephogram Based on Hilbert Spectrum of Bidimensional Empirical Mode Decomposition X. Chen et al. 10.1175/JTECH-D-13-00238.1