Articles | Volume 12, issue 24
https://doi.org/10.5194/acp-12-11933-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-12-11933-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Dynamical characteristics of ice supersaturated regions
K. Gierens
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
S. Brinkop
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Viewed
Total article views: 4,383 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 09 Aug 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,070 | 2,134 | 179 | 4,383 | 216 | 230 |
- HTML: 2,070
- PDF: 2,134
- XML: 179
- Total: 4,383
- BibTeX: 216
- EndNote: 230
Total article views: 3,683 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 17 Dec 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,767 | 1,759 | 157 | 3,683 | 190 | 215 |
- HTML: 1,767
- PDF: 1,759
- XML: 157
- Total: 3,683
- BibTeX: 190
- EndNote: 215
Total article views: 700 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 09 Aug 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 303 | 375 | 22 | 700 | 26 | 15 |
- HTML: 303
- PDF: 375
- XML: 22
- Total: 700
- BibTeX: 26
- EndNote: 15
Cited
18 citations as recorded by crossref.
- Machine learning for improvement of upper-tropospheric relative humidity in ERA5 weather model data Z. Wang et al. https://doi.org/10.5194/acp-25-2845-2025
- A trajectory‐based classification of ERA‐Interim ice clouds in the region of the North Atlantic storm track H. Wernli et al. https://doi.org/10.1002/2016GL068922
- Kinematic properties of regions that can involve persistent contrails over the North Atlantic and Europe during April and May 2024 S. Hofer & K. Gierens https://doi.org/10.5194/acp-25-6843-2025
- Most long-lived contrails form within cirrus clouds with uncertain climate impact A. Petzold et al. https://doi.org/10.1038/s41467-025-65532-2
- Contrails and Their Dependence on Meteorological Situations I. Kameníková et al. https://doi.org/10.3390/app14083199
- Ice-supersaturated air masses in the northern mid-latitudes from regular in situ observations by passenger aircraft: vertical distribution, seasonality and tropospheric fingerprint A. Petzold et al. https://doi.org/10.5194/acp-20-8157-2020
- Technical note: Hybrid machine learning model for bias correction of UTLS relative humidity against IAGOS observations in ERA5 reanalysis M. Antonopoulos et al. https://doi.org/10.5194/acp-26-4771-2026
- A Concept for Multi-Criteria Environmental Assessment of Aircraft Trajectories S. Matthes et al. https://doi.org/10.3390/aerospace4030042
- Combining LIDAR, all-sky camera, and ECMWF-ERA5 reanalysis to investigate contrail formation and evolution over Clermont-Ferrand, France on June 2, 2023 S. Diarra et al. https://doi.org/10.1016/j.atmosres.2025.108500
- How well can persistent contrails be predicted? An update S. Hofer et al. https://doi.org/10.5194/acp-24-7911-2024
- On the Life Cycle of Individual Contrails and Contrail Cirrus U. Schumann & A. Heymsfield https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0005.1
- On the Weather Impact of Contrails: New Insights from Coupled ICON–CoCiP Simulations U. Schumann & A. Seifert https://doi.org/10.5194/acp-25-18571-2025
- Synoptic Control of Contrail Cirrus Life Cycles and Their Modification Due to Reduced Soot Number Emissions A. Bier et al. https://doi.org/10.1002/2017JD027011
- Meteorological Conditions That Promote Persistent Contrails L. Wilhelm et al. https://doi.org/10.3390/app12094450
- Distributions of ice supersaturation and ice crystals from airborne observations in relation to upper tropospheric dynamical boundaries M. Diao et al. https://doi.org/10.1002/2015JD023139
- Variability in the properties of the distribution of the relative humidity with respect to ice: implications for contrail formation S. Sanogo et al. https://doi.org/10.5194/acp-24-5495-2024
- The effect of ice supersaturation and thin cirrus on lapse rates in the upper troposphere K. Gierens et al. https://doi.org/10.5194/acp-22-7699-2022
- Ice supersaturation and the potential for contrail formation in a changing climate E. Irvine & K. Shine https://doi.org/10.5194/esd-6-555-2015
18 citations as recorded by crossref.
- Machine learning for improvement of upper-tropospheric relative humidity in ERA5 weather model data Z. Wang et al. https://doi.org/10.5194/acp-25-2845-2025
- A trajectory‐based classification of ERA‐Interim ice clouds in the region of the North Atlantic storm track H. Wernli et al. https://doi.org/10.1002/2016GL068922
- Kinematic properties of regions that can involve persistent contrails over the North Atlantic and Europe during April and May 2024 S. Hofer & K. Gierens https://doi.org/10.5194/acp-25-6843-2025
- Most long-lived contrails form within cirrus clouds with uncertain climate impact A. Petzold et al. https://doi.org/10.1038/s41467-025-65532-2
- Contrails and Their Dependence on Meteorological Situations I. Kameníková et al. https://doi.org/10.3390/app14083199
- Ice-supersaturated air masses in the northern mid-latitudes from regular in situ observations by passenger aircraft: vertical distribution, seasonality and tropospheric fingerprint A. Petzold et al. https://doi.org/10.5194/acp-20-8157-2020
- Technical note: Hybrid machine learning model for bias correction of UTLS relative humidity against IAGOS observations in ERA5 reanalysis M. Antonopoulos et al. https://doi.org/10.5194/acp-26-4771-2026
- A Concept for Multi-Criteria Environmental Assessment of Aircraft Trajectories S. Matthes et al. https://doi.org/10.3390/aerospace4030042
- Combining LIDAR, all-sky camera, and ECMWF-ERA5 reanalysis to investigate contrail formation and evolution over Clermont-Ferrand, France on June 2, 2023 S. Diarra et al. https://doi.org/10.1016/j.atmosres.2025.108500
- How well can persistent contrails be predicted? An update S. Hofer et al. https://doi.org/10.5194/acp-24-7911-2024
- On the Life Cycle of Individual Contrails and Contrail Cirrus U. Schumann & A. Heymsfield https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0005.1
- On the Weather Impact of Contrails: New Insights from Coupled ICON–CoCiP Simulations U. Schumann & A. Seifert https://doi.org/10.5194/acp-25-18571-2025
- Synoptic Control of Contrail Cirrus Life Cycles and Their Modification Due to Reduced Soot Number Emissions A. Bier et al. https://doi.org/10.1002/2017JD027011
- Meteorological Conditions That Promote Persistent Contrails L. Wilhelm et al. https://doi.org/10.3390/app12094450
- Distributions of ice supersaturation and ice crystals from airborne observations in relation to upper tropospheric dynamical boundaries M. Diao et al. https://doi.org/10.1002/2015JD023139
- Variability in the properties of the distribution of the relative humidity with respect to ice: implications for contrail formation S. Sanogo et al. https://doi.org/10.5194/acp-24-5495-2024
- The effect of ice supersaturation and thin cirrus on lapse rates in the upper troposphere K. Gierens et al. https://doi.org/10.5194/acp-22-7699-2022
- Ice supersaturation and the potential for contrail formation in a changing climate E. Irvine & K. Shine https://doi.org/10.5194/esd-6-555-2015
Saved (final revised paper)
Latest update: 31 May 2026
Altmetrics
Final-revised paper
Preprint