45 citations as recorded by crossref.

1. Radiative closure and cloud effects on the radiation budget based on satellite and shipborne observations during the Arctic summer research cruise, PS106 C. Barrientos-Velasco et al. https://doi.org/10.5194/acp-22-9313-2022
2. Overview: quasi-Lagrangian observations of Arctic air mass transformations – introduction and initial results of the HALO–(𝒜 𝒞)3 aircraft campaign M. Wendisch et al. https://doi.org/10.5194/acp-24-8865-2024
3. Process Drivers, Inter-Model Spread, and the Path Forward: A Review of Amplified Arctic Warming P. Taylor et al. https://doi.org/10.3389/feart.2021.758361
4. Effects of variable ice–ocean surface properties and air mass transformation on the Arctic radiative energy budget M. Wendisch et al. https://doi.org/10.5194/acp-23-9647-2023
5. Satellite-Derived Summer Albedo Variations on the Greenland Ice Sheet from 1979 to 2024 Linked with Climatic Indices Y. Zhang et al. https://doi.org/10.3390/rs18020295
6. Quantifying the impact of solar zenith angle, cloud optical thickness, and surface albedo on the solar radiative effect of Arctic low-level clouds over open ocean and sea ice S. Becker et al. https://doi.org/10.5194/acp-25-12831-2025
7. Contributions of surface and cloud variability to the solar surface cloud radiative effect in the Arctic S. Becker et al. https://doi.org/10.1088/1755-1315/1522/1/012015
8. Microphysical and thermodynamic phase analyses of Arctic low-level clouds measured above the sea ice and the open ocean in spring and summer M. Moser et al. https://doi.org/10.5194/acp-23-7257-2023
9. Parametric Sensitivity Analysis of ENSO‐Related Shortwave Feedback Simulations by PPE Experiments in CAM6 Y. Zhu et al. https://doi.org/10.1002/joc.70210
10. Impact of stratiform liquid water clouds on vegetation albedo quantified by coupling an atmosphere and a vegetation radiative transfer model K. Wolf et al. https://doi.org/10.5194/bg-22-2909-2025
11. Sea Breeze-Driven Variations in Planetary Boundary Layer Height over Barrow: Insights from Meteorological and Lidar Observations H. Li et al. https://doi.org/10.3390/rs17091633
12. A cloud radiative flux computation using machine learning approach: influence of cloud properties in modifying longwave and shortwave outgoing radiation R. Krishnaveni et al. https://doi.org/10.1007/s00704-026-06319-3
13. Snowmelt detection on the Antarctic ice sheet surface based on XPGR with improved ant colony algorithm X. Wang et al. https://doi.org/10.1080/01431161.2022.2161851
14. Airborne observations of the surface cloud radiative effect during different seasons over sea ice and open ocean in the Fram Strait S. Becker et al. https://doi.org/10.5194/acp-23-7015-2023
15. Arctic mixed-phase clouds simulated by the WRF model: Comparisons with ACLOUD radar and in situ airborne observations and sensitivity of microphysics properties D. Arteaga et al. https://doi.org/10.1016/j.atmosres.2024.107471
16. Satellite remote sensing of regional and seasonal Arctic cooling showing a multi-decadal trend towards brighter and more liquid clouds L. Lelli et al. https://doi.org/10.5194/acp-23-2579-2023
17. Turbulent structure of the Arctic boundary layer in early summer driven by stability, wind shear and cloud-top radiative cooling: ACLOUD airborne observations D. Chechin et al. https://doi.org/10.5194/acp-23-4685-2023
18. 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
19. Climate Response to Vegetation Removal on Different Continents J. Guo et al. https://doi.org/10.1029/2023JD039531
20. An Operational Methodology for Validating Satellite-Based Snow Albedo Measurements Using a UAV A. Mullen et al. https://doi.org/10.3389/frsen.2021.767593
21. Weakened snow and ice melting by enhanced cloud short-wave cooling effect in the Arctic A. Chen et al. https://doi.org/10.1093/nsr/nwaf116
22. What drives the decrease of glacier surface albedo in High Mountain Asia in the past two decades? Y. Xiao et al. https://doi.org/10.1016/j.scitotenv.2022.160945
23. Retrieval of Cloud, Atmospheric, and Surface Properties from Far-Infrared Spectral Radiances Measured by FIRMOS-B During the 2022 HEMERA Stratospheric Balloon Campaign G. Di Natale et al. https://doi.org/10.3390/rs17142458
24. Application of cloud particle sensor sondes for estimating the number concentration of cloud water droplets and liquid water content: case studies in the Arctic region J. Inoue et al. https://doi.org/10.5194/amt-14-4971-2021
25. A new approach to crystal habit retrieval from far-infrared spectral radiance measurements G. Di Natale et al. https://doi.org/10.5194/amt-17-3171-2024
26. On the importance to consider the cloud dependence in parameterizing the albedo of snow on sea ice L. Foth et al. https://doi.org/10.5194/tc-18-4053-2024
27. Daily 1 km seamless Antarctic sea ice albedo product from 2012 to 2021 based on VIIRS data C. Ma et al. https://doi.org/10.5194/essd-17-4757-2025
28. Attributing near-surface atmospheric trends in the Fram Strait region to regional sea ice conditions A. Schmitt & C. Lüpkes https://doi.org/10.5194/tc-17-3115-2023
29. Tethered balloon-borne observations of thermal-infrared irradiance and cooling rate profiles in the Arctic atmospheric boundary layer M. Lonardi et al. https://doi.org/10.5194/acp-24-1961-2024
30. Retrieval of aerosol optical depth over the Arctic cryosphere during spring and summer using satellite observations B. Swain et al. https://doi.org/10.5194/amt-17-359-2024
31. Cloud Radiative Forcing over Sea Ice in the Arctic during the Polar Night According to North Pole-37, -39, and -40 Drifting Stations I. Makhotina et al. https://doi.org/10.1134/S0001433821050091
32. Supercooled liquid water clouds observed over Dome C, Antarctica: temperature sensitivity and cloud radiative forcing P. Ricaud et al. https://doi.org/10.5194/acp-24-613-2024
33. Fusion of the Arctic Aerosol Optical Depth Based on Improved Bayesian Maximum Entropy Y. Han et al. https://doi.org/10.1109/TGRS.2026.3654145
34. A comprehensive in situ and remote sensing data set collected during the HALO–(𝒜 𝒞)3 aircraft campaign A. Ehrlich et al. https://doi.org/10.5194/essd-17-1295-2025
35. Observation of aerosol induced ‘lower tropospheric cooling’ over Indian core monsoon region M. Jangid et al. https://doi.org/10.1088/1748-9326/ac3b7a
36. Overview of the MOSAiC expedition: Atmosphere M. Shupe et al. https://doi.org/10.1525/elementa.2021.00060
37. Sensitivity of the Arctic Sea Ice Cover to the Summer Surface Scattering Layer M. Smith et al. https://doi.org/10.1029/2022GL098349
38. Reconstructing daily snow and ice albedo series for Greenland by coupling spatiotemporal and physics-informed models F. Ye et al. https://doi.org/10.1016/j.jag.2023.103519
39. Investigating the vertical extent and short-wave radiative effects of the ice phase in Arctic summertime low-level clouds E. Järvinen et al. https://doi.org/10.5194/acp-23-7611-2023
40. Detecting Land with Reflected-light Spectroscopy to Rule Out Waterworld O2 Biosignature False Positives A. Ulses et al. https://doi.org/10.3847/1538-4357/adec69
41. Airborne measurements of directional reflectivity over the Arctic marginal sea ice zone S. Becker et al. https://doi.org/10.5194/amt-15-2939-2022
42. Relationships between summertime surface albedo and melt pond fraction in the central Arctic Ocean: The aggregate scale of albedo obtained on the MOSAiC floe R. Calmer et al. https://doi.org/10.1525/elementa.2023.00001
43. A new airborne broadband radiometer system and an efficient method to correct dynamic thermal offsets A. Ehrlich et al. https://doi.org/10.5194/amt-16-1563-2023
44. Employing airborne radiation and cloud microphysics observations to improve cloud representation in ICON at kilometer-scale resolution in the Arctic J. Kretzschmar et al. https://doi.org/10.5194/acp-20-13145-2020
45. Estimation of the terms acting on local 1 h surface temperature variations in Paris region: the specific contribution of clouds O. Rojas Muñoz et al. https://doi.org/10.5194/acp-21-15699-2021