Articles | Volume 24, issue 1
https://doi.org/10.5194/acp-24-597-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-597-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jan 2024
Research article |
| 16 Jan 2024
| 16 Jan 2024
Low-level Arctic clouds: a blind zone in our knowledge of the radiation budget
Hannes Jascha Griesche
CORRESPONDING AUTHOR
Remote Sensing of Atmospheric Processes, Leibniz Institute for Tropospheric Research, Leipzig, Germany
Carola Barrientos-Velasco
Remote Sensing of Atmospheric Processes, Leibniz Institute for Tropospheric Research, Leipzig, Germany
Hartwig Deneke
Remote Sensing of Atmospheric Processes, Leibniz Institute for Tropospheric Research, Leipzig, Germany
Anja Hünerbein
Remote Sensing of Atmospheric Processes, Leibniz Institute for Tropospheric Research, Leipzig, Germany
Patric Seifert
Remote Sensing of Atmospheric Processes, Leibniz Institute for Tropospheric Research, Leipzig, Germany
Andreas Macke
Remote Sensing of Atmospheric Processes, Leibniz Institute for Tropospheric Research, Leipzig, Germany
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Cited
15 citations as recorded by crossref.
- Increasing wintertime cloud opacity increases surface longwave radiation at a long-term Arctic observatory L. Bertrand et al. https://doi.org/10.1038/s41467-025-64441-8
- Occurrence of seeding multi-layer clouds in the Arctic from ground-based observations P. Achtert et al. https://doi.org/10.5194/acp-26-3049-2026
- Understanding the spring cloud onset over the Arctic sea-ice J. Lac et al. https://doi.org/10.5194/acp-26-4189-2026
- MOSAiC studies of long-lasting mixed-phase cloud events and analysis of the liquid-phase properties of Arctic clouds C. Jimenez et al. https://doi.org/10.5194/acp-25-12955-2025
- Long-term cloud characterization at the AGORA ACTRIS-CCRES station using a novel classification algorithm M. Tolentino et al. https://doi.org/10.5194/amt-19-2079-2026
- Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project I. Riipinen et al. https://doi.org/10.16993/tellusb.1883
- Cloud micro- and macrophysical properties from ground-based remote sensing during the MOSAiC drift experiment H. Griesche et al. https://doi.org/10.1038/s41597-024-03325-w
- Annual cycle of surface-coupling effects on Arctic mixed-phase clouds during MOSAiC H. Griesche et al. https://doi.org/10.5194/acp-26-7141-2026
- The role of local shipping emissions in aerosol-cloud interactions in the central Arctic B. Heutte et al. https://doi.org/10.1088/1748-9326/ae6673
- Arctic Amplification in the Past, Present, and Future: A Review for the Challenge to the Integrative Understanding of its Mechanism M. YOSHIMORI et al. https://doi.org/10.2151/jmsj.2025-027
- Supercooled liquid water cloud classification using lidar backscatter peak properties L. Whitehead et al. https://doi.org/10.5194/amt-17-5765-2024
- Evaluation of Polar-WRF microphysics schemes for simulations of lower atmospheric processes in the Svalbard region, Arctic Z. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108597
- Tethered balloon-borne measurements to characterise the evolution of the Arctic atmospheric boundary layer at the Villum Research Station H. Dorff et al. https://doi.org/10.5194/essd-18-2799-2026
- 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
- 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
15 citations as recorded by crossref.
- Increasing wintertime cloud opacity increases surface longwave radiation at a long-term Arctic observatory L. Bertrand et al. https://doi.org/10.1038/s41467-025-64441-8
- Occurrence of seeding multi-layer clouds in the Arctic from ground-based observations P. Achtert et al. https://doi.org/10.5194/acp-26-3049-2026
- Understanding the spring cloud onset over the Arctic sea-ice J. Lac et al. https://doi.org/10.5194/acp-26-4189-2026
- MOSAiC studies of long-lasting mixed-phase cloud events and analysis of the liquid-phase properties of Arctic clouds C. Jimenez et al. https://doi.org/10.5194/acp-25-12955-2025
- Long-term cloud characterization at the AGORA ACTRIS-CCRES station using a novel classification algorithm M. Tolentino et al. https://doi.org/10.5194/amt-19-2079-2026
- Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project I. Riipinen et al. https://doi.org/10.16993/tellusb.1883
- Cloud micro- and macrophysical properties from ground-based remote sensing during the MOSAiC drift experiment H. Griesche et al. https://doi.org/10.1038/s41597-024-03325-w
- Annual cycle of surface-coupling effects on Arctic mixed-phase clouds during MOSAiC H. Griesche et al. https://doi.org/10.5194/acp-26-7141-2026
- The role of local shipping emissions in aerosol-cloud interactions in the central Arctic B. Heutte et al. https://doi.org/10.1088/1748-9326/ae6673
- Arctic Amplification in the Past, Present, and Future: A Review for the Challenge to the Integrative Understanding of its Mechanism M. YOSHIMORI et al. https://doi.org/10.2151/jmsj.2025-027
- Supercooled liquid water cloud classification using lidar backscatter peak properties L. Whitehead et al. https://doi.org/10.5194/amt-17-5765-2024
- Evaluation of Polar-WRF microphysics schemes for simulations of lower atmospheric processes in the Svalbard region, Arctic Z. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108597
- Tethered balloon-borne measurements to characterise the evolution of the Arctic atmospheric boundary layer at the Villum Research Station H. Dorff et al. https://doi.org/10.5194/essd-18-2799-2026
- 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
- 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
Saved (final revised paper)
Latest update: 11 Jun 2026
Short summary
The Arctic is strongly affected by climate change and the role of clouds therein is not yet completely understood. Measurements from the Arctic expedition PS106 were used to simulate radiative fluxes with and without clouds at very low altitudes (below 165 m), and their radiative effect was calculated to be 54 Wm-2. The low heights of these clouds make them hard to observe. This study shows the importance of accurate measurements and simulations of clouds and gives suggestions for improvements.
The Arctic is strongly affected by climate change and the role of clouds therein is not yet...
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