Articles | Volume 20, issue 8
https://doi.org/10.5194/acp-20-5157-2020
© Author(s) 2020. 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-20-5157-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Apr 2020
Research article |
| 30 Apr 2020
| 30 Apr 2020
The influence of water vapor anomalies on clouds and their radiative effect at Ny-Ålesund
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Kerstin Ebell
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Ulrich Löhnert
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Marion Maturilli
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany
Christoph Ritter
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany
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Cited
16 citations as recorded by crossref.
- Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: a comprehensive long-term dataset of remote sensing observations G. Chellini et al. https://doi.org/10.5194/essd-15-5427-2023
- Atmospheric rivers and associated precipitation patterns during the ACLOUD and PASCAL campaigns near Svalbard (May–June 2017): case studies using observations, reanalyses, and a regional climate model C. Viceto et al. https://doi.org/10.5194/acp-22-441-2022
- The Spatiotemporal Patterns of the Upper-Tropospheric Water Vapor over the Tibetan Plateau in Summer Based on EOF Analysis X. Xu et al. https://doi.org/10.1175/JCLI-D-21-0720.1
- A pivotal role for air pollution during rapid Arctic change S. Arnold et al. https://doi.org/10.1525/elementa.2025.00129
- Investigating Wintertime Cloud Microphysical Properties and Their Relationship to Air Mass Advection at Ny-Ålesund, Svalbard Using the Synergy of a Cloud Radar–Ceilometer–Microwave Radiometer Y. Cho et al. https://doi.org/10.3390/rs13132529
- A long-term study of cloud residuals from low-level Arctic clouds L. Karlsson et al. https://doi.org/10.5194/acp-21-8933-2021
- Forest and bioenergy expansion amplifies climate warming by accelerating regional cloud loss N. Liu et al. https://doi.org/10.5194/acp-26-14133-2026
- 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
- Impact of Cloud Condensation Nuclei Reduction on Cloud Characteristics and Solar Radiation during COVID-19 Lockdown 2020 in Moscow J. Shuvalova et al. https://doi.org/10.3390/atmos13101710
- Identifying cloud, precipitation, windshear, and turbulence by deep analysis of the power spectrum of coherent Doppler wind lidar J. Yuan et al. https://doi.org/10.1364/OE.412809
- Ice Aggregation in Low‐Level Mixed‐Phase Clouds at a High Arctic Site: Enhanced by Dendritic Growth and Absent Close to the Melting Level G. Chellini et al. https://doi.org/10.1029/2022JD036860
- 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
- Assessing the performance of CMIP6 models in simulating the accelerated wintertime Arctic warming C. Li et al. https://doi.org/10.1007/s00382-026-08395-7
- Comparison of Land Surface Temperature Retrieval using Remote Sensing Imagery: Classification-Based versus Normalized Difference Vegetation Index-Based Emissivity Methods A. Nugraha et al. https://doi.org/10.1007/s41976-025-00268-7
- Contribution of fluorescent primary biological aerosol particles to low-level Arctic cloud residuals G. Pereira Freitas et al. https://doi.org/10.5194/acp-24-5479-2024
- A 4.5 Year‐Long Record of Svalbard Water Vapor Isotopic Composition Documents Winter Air Mass Origin C. Leroy‐Dos Santos et al. https://doi.org/10.1029/2020JD032681
16 citations as recorded by crossref.
- Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: a comprehensive long-term dataset of remote sensing observations G. Chellini et al. https://doi.org/10.5194/essd-15-5427-2023
- Atmospheric rivers and associated precipitation patterns during the ACLOUD and PASCAL campaigns near Svalbard (May–June 2017): case studies using observations, reanalyses, and a regional climate model C. Viceto et al. https://doi.org/10.5194/acp-22-441-2022
- The Spatiotemporal Patterns of the Upper-Tropospheric Water Vapor over the Tibetan Plateau in Summer Based on EOF Analysis X. Xu et al. https://doi.org/10.1175/JCLI-D-21-0720.1
- A pivotal role for air pollution during rapid Arctic change S. Arnold et al. https://doi.org/10.1525/elementa.2025.00129
- Investigating Wintertime Cloud Microphysical Properties and Their Relationship to Air Mass Advection at Ny-Ålesund, Svalbard Using the Synergy of a Cloud Radar–Ceilometer–Microwave Radiometer Y. Cho et al. https://doi.org/10.3390/rs13132529
- A long-term study of cloud residuals from low-level Arctic clouds L. Karlsson et al. https://doi.org/10.5194/acp-21-8933-2021
- Forest and bioenergy expansion amplifies climate warming by accelerating regional cloud loss N. Liu et al. https://doi.org/10.5194/acp-26-14133-2026
- 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
- Impact of Cloud Condensation Nuclei Reduction on Cloud Characteristics and Solar Radiation during COVID-19 Lockdown 2020 in Moscow J. Shuvalova et al. https://doi.org/10.3390/atmos13101710
- Identifying cloud, precipitation, windshear, and turbulence by deep analysis of the power spectrum of coherent Doppler wind lidar J. Yuan et al. https://doi.org/10.1364/OE.412809
- Ice Aggregation in Low‐Level Mixed‐Phase Clouds at a High Arctic Site: Enhanced by Dendritic Growth and Absent Close to the Melting Level G. Chellini et al. https://doi.org/10.1029/2022JD036860
- 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
- Assessing the performance of CMIP6 models in simulating the accelerated wintertime Arctic warming C. Li et al. https://doi.org/10.1007/s00382-026-08395-7
- Comparison of Land Surface Temperature Retrieval using Remote Sensing Imagery: Classification-Based versus Normalized Difference Vegetation Index-Based Emissivity Methods A. Nugraha et al. https://doi.org/10.1007/s41976-025-00268-7
- Contribution of fluorescent primary biological aerosol particles to low-level Arctic cloud residuals G. Pereira Freitas et al. https://doi.org/10.5194/acp-24-5479-2024
- A 4.5 Year‐Long Record of Svalbard Water Vapor Isotopic Composition Documents Winter Air Mass Origin C. Leroy‐Dos Santos et al. https://doi.org/10.1029/2020JD032681
Saved (final revised paper)
Latest update: 30 Oct 2026
Short summary
This paper presents an influence of water vapor anomalies on cloud properties and their radiative effect at Ny-Ålesund. The study is based on a 2.5-year active and passive cloud observation and a radiative transfer model. The results show that moist and dry conditions are related to strong changes in cloud occurrence, phase partitioning, water path, and, consequently, modulate the surface radiative budget.
This paper presents an influence of water vapor anomalies on cloud properties and their...
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