12 citations as recorded by crossref.

1. Predicting potential Arctic kelp distribution and lower‐depth biomass from seafloor irradiance L. Castro de la Guardia et al. https://doi.org/10.1002/lom3.70018
2. Regional and seasonal distribution of Arctic low-level cloud types and their relationship to large-scale environmental conditions A. Dziduch et al. https://doi.org/10.5194/acp-26-4019-2026
3. Cloud-type-dependent mixed-phase cloud climatology from CloudSat/CALIPSO measurements K. Yang et al. https://doi.org/10.5194/acp-26-13319-2026
4. 2000~2022年北极夏季云的变化趋势及其潜在成因 昊. 张 et al. https://doi.org/10.1360/SSTe-2024-0219
5. Retrieval of Cloud Liquid Water Path over the Arctic Sea Ice from the AMSR2 Data E. Zabolotskikh https://doi.org/10.3103/S1068373925110019
6. Earth’s east–west albedo symmetry J. Zhang et al. https://doi.org/10.1038/s41586-026-10624-2
7. Surface radiation trends at North Slope of Alaska influenced by large-scale circulation and atmospheric rivers D. Lubin et al. https://doi.org/10.5194/acp-26-295-2026
8. Trends in Arctic summer cloud variability from 2000 to 2022 and the potential causes H. Zhang et al. https://doi.org/10.1007/s11430-024-1523-5
9. Western Arctic wintertime mixed-phase clouds: Observed modulation by sea ice conditions, long-term variabilities and trends P. Saavedra Garfias & H. Kalesse-Los https://doi.org/10.5194/acp-26-14843-2026
10. Sea Ice Loss leads to regime shifts in the arctic biological pump M. Wu et al. https://doi.org/10.1038/s41467-025-65285-y
11. Estimation of the radiation budget during MOSAiC based on ground-based and satellite remote sensing observations C. Barrientos-Velasco et al. https://doi.org/10.5194/acp-25-3929-2025
12. Quantifying the impacts of key meteorological drivers on the Arctic surface radiation budget M. Wang et al. https://doi.org/10.1016/j.atmosres.2025.108625