43 citations as recorded by crossref.

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2. Effect of dust on rainfall over the Red Sea coast based on WRF-Chem model simulations S. Parajuli et al. https://doi.org/10.5194/acp-22-8659-2022
3. Further evidence for CCN aerosol concentrations determining the height of warm rain and ice initiation in convective clouds over the Amazon basin R. Braga et al. https://doi.org/10.5194/acp-17-14433-2017
4. The impact of cloud vertical profile on liquid water path retrieval based on the bispectral method: A theoretical study based on large‐eddy simulations of shallow marine boundary layer clouds D. Miller et al. https://doi.org/10.1002/2015JD024322
5. Aerosol and monsoon climate interactions over Asia Z. Li et al. https://doi.org/10.1002/2015RG000500
6. Comparisons of bispectral and polarimetric retrievals of marine boundary layer cloud microphysics: case studies using a LES–satellite retrieval simulator D. Miller et al. https://doi.org/10.5194/amt-11-3689-2018
7. Capability of liquid cloud microphysical property retrieval from satellite-borne multi-angle hyperspectral polarimetric measurements Z. Yuan et al. https://doi.org/10.1016/j.jqsrt.2026.109940
8. Dual-field-of-view high-spectral-resolution lidar: Simultaneous profiling of aerosol and water cloud to study aerosol–cloud interaction N. Wang et al. https://doi.org/10.1073/pnas.2110756119
9. Satellite Inference of Thermals and Cloud-Base Updraft Speeds Based on Retrieved Surface and Cloud-Base Temperatures Y. Zheng et al. https://doi.org/10.1175/JAS-D-14-0283.1
10. Synergetic Use of the WSR-88D Radars, GOES-R Satellites, and Lightning Networks to Study Microphysical Characteristics of Hurricanes J. Hu et al. https://doi.org/10.1175/JAMC-D-19-0122.1
11. The Impact of Ship Emission Controls Recorded by Cloud Properties E. Gryspeerdt et al. https://doi.org/10.1029/2019GL084700
12. A novel technique for nowcasting extreme rainfall events using early microphysical signatures of cloud development S. Nizar et al. https://doi.org/10.1371/journal.pclm.0000497
13. Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives D. Grosvenor et al. https://doi.org/10.1029/2017RG000593
14. Analysis of the Relationship between the Cloud Water Path and Precipitation Intensity of Mature Typhoons in the Northwest Pacific Ocean S. Luo et al. https://doi.org/10.1007/s00376-020-9204-9
15. Robust Susceptibility of Cloud Cover and Radiative Effects to Biases in Retrieved Droplet Concentrations Y. Wang et al. https://doi.org/10.1029/2023JD039145
16. Identifying Changing Snow Cover Characteristics in Central Asia between 1986 and 2014 from Remote Sensing Data A. Dietz et al. https://doi.org/10.3390/rs61212752
17. Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al. https://doi.org/10.1029/2022RG000799
18. Vertical distribution of the particle phase in tropical deep convective clouds as derived from cloud-side reflected solar radiation measurements E. Jäkel et al. https://doi.org/10.5194/acp-17-9049-2017
19. Satellite based study on the role of Cloud Condensation Nuclei (CCN) and atmospheric thermodynamics in warm cloud evolution S. Jose et al. https://doi.org/10.1016/j.atmosres.2025.108452
20. Shipping regulations lead to large reduction in cloud perturbations D. Watson-Parris et al. https://doi.org/10.1073/pnas.2206885119
21. The Evolution of an AgI Cloud‐Seeding Track in Central China as Seen by a Combination of Radar, Satellite, and Disdrometer Observations J. Wang et al. https://doi.org/10.1029/2020JD033914
22. Separating aerosol microphysical effects and satellite measurement artifacts of the relationships between warm rain onset height and aerosol optical depth Y. Zhu et al. https://doi.org/10.1002/2015JD023547
23. Automated Mapping of Convective Clouds (AMCC) Thermodynamical, Microphysical, and CCN Properties from SNPP/VIIRS Satellite Data Z. Yue et al. https://doi.org/10.1175/JAMC-D-18-0144.1
24. Assessment of the Reprocessed Suomi NPP VIIRS Enterprise Cloud Mask Product L. Lin et al. https://doi.org/10.3390/rs13132502
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26. Satellite‐Based Detection of Secondary Droplet Activation in Convective Clouds A. Efraim et al. https://doi.org/10.1029/2022JD036519
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28. Cloud properties and dynamics over the Tibetan Plateau – A review Y. Wu et al. https://doi.org/10.1016/j.earscirev.2023.104633
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33. Macro- and Micro-physical Characteristics of Different Parts of Mixed Convective-stratiform Clouds and Differences in Their Responses to Seeding D. Li et al. https://doi.org/10.1007/s00376-022-2003-8
34. Monitoring NightLight Emission Changes in Seoul Using Satellite NightLight Data to Mitigate Light Pollution . 김정아 & . 천상현 https://doi.org/10.35216/kisd.2018.13.6.165
35. Satellite retrieval of cloud condensation nuclei concentrations by using clouds as CCN chambers D. Rosenfeld et al. https://doi.org/10.1073/pnas.1514044113
36. FPCI and SPCI Are Proposed to Distinguish the Frontal and Saturated Precipitation Systems Based on FY-4A S. Zhu et al. https://doi.org/10.1109/LGRS.2023.3247755
37. A Methodology to Produce Light Pollution Map and Diagnose Urban Nightlight Conditions Using International Space Station Nighttime Image Data J. Kim & S. Cheon https://doi.org/10.14801/jkiit.2018.16.12.13
38. Modern and prospective technologies for weather modification activities: Developing a framework for integrating autonomous unmanned aircraft systems T. DeFelice & D. Axisa https://doi.org/10.1016/j.atmosres.2017.04.024
39. Cloud Top Phase Distributions of Simulated Deep Convective Clouds C. Hoose et al. https://doi.org/10.1029/2018JD028381
40. Co-variability of smoke and fire in the Amazon basin A. Mishra et al. https://doi.org/10.1016/j.atmosenv.2015.03.007
41. Linkage Between the Vertical Evolution of Clouds and Droplet Growth Modes as Seen From FY‐4A AGRI and GPM DPR Y. Chen et al. https://doi.org/10.1029/2020GL088312
42. Cloud phase classification using SLSTR measured brightness temperatures at 3.74, 10.85, 12.00 μm K. Vinjamuri et al. https://doi.org/10.1016/j.jqsrt.2026.109897
43. Improving our fundamental understanding of the role of aerosol−cloud interactions in the climate system J. Seinfeld et al. https://doi.org/10.1073/pnas.1514043113