Articles | Volume 14, issue 5
https://doi.org/10.5194/acp-14-2639-2014
© Author(s) 2014. 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-14-2639-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Mar 2014
Research article |
| 14 Mar 2014
Cloud-scale ice-supersaturated regions spatially correlate with high water vapor heterogeneities
Department of Civil and Environmental Engineering, Princeton University, New Jersey 08544, USA
Center for Mid-Infrared Technologies for Health and the Environment, Princeton University, New Jersey 08544, USA
now at: Advanced Study Program/Earth Observing Laboratory, National Center for Atmospheric Research, Boulder, Colorado 80307, USA
M. A. Zondlo
Department of Civil and Environmental Engineering, Princeton University, New Jersey 08544, USA
Center for Mid-Infrared Technologies for Health and the Environment, Princeton University, New Jersey 08544, USA
A. J. Heymsfield
Mesoscale and Microscale Meteorology, National Center for Atmospheric Research, Boulder, Colorado 80301, USA
L. M. Avallone
Department of Atmospheric and Oceanic Sciences, University of Colorado, Colorado, USA
M. E. Paige
Southwest Sciences, Inc., Santa Fe, New Mexico 87505, USA
S. P. Beaton
Earth Observing Laboratory, National Center for Atmospheric Research, Broomfield, Colorado 80021, USA
T. Campos
Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, Colorado 80301, USA
D. C. Rogers
Earth Observing Laboratory, National Center for Atmospheric Research, Broomfield, Colorado 80021, USA
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Cited
29 citations as recorded by crossref.
- Reanalysis-driven simulations may overestimate persistent contrail formation by 100%–250% A. Agarwal et al. https://doi.org/10.1088/1748-9326/ac38d9
- Urbanization Aggravates Effects of Global Warming on Local Atmospheric Drying X. Huang et al. https://doi.org/10.1029/2021GL095709
- Dynamical conditions of ice supersaturation and ice nucleation in convective systems: A comparative analysis between in situ aircraft observations and WRF simulations J. D'Alessandro et al. https://doi.org/10.1002/2016JD025994
- Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations C. Wu et al. https://doi.org/10.5194/acp-17-4731-2017
- 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 Cloud Indicator: A novel algorithm for automatic detection and classification of clouds using airborne in situ observations M. Dollner et al. https://doi.org/10.1016/j.atmosres.2024.107504
- Distribution and morphology of non-persistent contrail and persistent contrail formation areas in ERA5 K. Wolf et al. https://doi.org/10.5194/acp-24-5009-2024
- An assessment of the radiative effects of ice supersaturation based on in situ observations X. Tan et al. https://doi.org/10.1002/2016GL071144
- Considering intentional stratospheric dehydration for climate benefits J. Schwarz et al. https://doi.org/10.1126/sciadv.adk0593
- Ice supersaturated regions: properties and validation of ERA-Interim reanalysis with IAGOS in situ water vapour measurements P. Reutter et al. https://doi.org/10.5194/acp-20-787-2020
- Examination of aerosol indirect effects during cirrus cloud evolution F. Maciel et al. https://doi.org/10.5194/acp-23-1103-2023
- 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
- 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
- Upper-tropospheric slightly ice-subsaturated regions: frequency of occurrence and statistical evidence for the appearance of contrail cirrus Y. Li et al. https://doi.org/10.5194/acp-23-2251-2023
- Gradients of Atmospheric Temperature and Humidity Controlled by Local Urban Land-Use Intensity in Boston J. Wang et al. https://doi.org/10.1175/JAMC-D-16-0325.1
- Cloud Phase and Relative Humidity Distributions over the Southern Ocean in Austral Summer Based on In Situ Observations and CAM5 Simulations J. D’Alessandro et al. https://doi.org/10.1175/JCLI-D-18-0232.1
- Ice Nucleation Parameterization and Relative Humidity Distribution in Idealized Squall-Line Simulations M. Diao et al. https://doi.org/10.1175/JAS-D-16-0356.1
- A Stochastic Representation of Temperature Fluctuations Induced by Mesoscale Gravity Waves B. Kärcher & A. Podglajen https://doi.org/10.1029/2019JD030680
- Effects of pre-existing ice crystals on cirrus clouds and comparison between different ice nucleation parameterizations with the Community Atmosphere Model (CAM5) X. Shi et al. https://doi.org/10.5194/acp-15-1503-2015
- Can Quasi‐Periodic Gravity Waves Influence the Shape of Ice Crystals in Cirrus Clouds? S. Saha et al. https://doi.org/10.1029/2020GL087909
- On the fidelity of high-resolution numerical weather forecasts of contrail-favorable conditions G. Thompson et al. https://doi.org/10.1016/j.atmosres.2024.107663
- The relationship between cloud distribution characteristics and meteorological elements over China Y. Yang et al. https://doi.org/10.1038/s41598-025-15003-x
- Ice Supersaturation Variability in Cirrus Clouds: Role of Vertical Wind Speeds and Deposition Coefficients B. Kärcher et al. https://doi.org/10.1029/2023JD039324
- Aerosol–cloud interactions in cirrus clouds based on global-scale airborne observations and machine learning models D. Ngo et al. https://doi.org/10.5194/acp-25-7007-2025
- Aerosol Indirect Effects on Cirrus Clouds Based on Global Aircraft Observations R. Patnaude & M. Diao https://doi.org/10.1029/2019GL086550
- Uncertainties in mitigating aviation non-CO2 emissions for climate and air quality using hydrocarbon fuels D. Lee et al. https://doi.org/10.1039/D3EA00091E
- 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
- Evaluation of the CAM6 Climate Model Using Cloud Observations at McMurdo Station, Antarctica J. Yip et al. https://doi.org/10.1029/2021JD034653
- Effects of thermodynamics, dynamics and aerosols on cirrus clouds based on in situ observations and NCAR CAM6 R. Patnaude et al. https://doi.org/10.5194/acp-21-1835-2021
29 citations as recorded by crossref.
- Reanalysis-driven simulations may overestimate persistent contrail formation by 100%–250% A. Agarwal et al. https://doi.org/10.1088/1748-9326/ac38d9
- Urbanization Aggravates Effects of Global Warming on Local Atmospheric Drying X. Huang et al. https://doi.org/10.1029/2021GL095709
- Dynamical conditions of ice supersaturation and ice nucleation in convective systems: A comparative analysis between in situ aircraft observations and WRF simulations J. D'Alessandro et al. https://doi.org/10.1002/2016JD025994
- Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations C. Wu et al. https://doi.org/10.5194/acp-17-4731-2017
- 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 Cloud Indicator: A novel algorithm for automatic detection and classification of clouds using airborne in situ observations M. Dollner et al. https://doi.org/10.1016/j.atmosres.2024.107504
- Distribution and morphology of non-persistent contrail and persistent contrail formation areas in ERA5 K. Wolf et al. https://doi.org/10.5194/acp-24-5009-2024
- An assessment of the radiative effects of ice supersaturation based on in situ observations X. Tan et al. https://doi.org/10.1002/2016GL071144
- Considering intentional stratospheric dehydration for climate benefits J. Schwarz et al. https://doi.org/10.1126/sciadv.adk0593
- Ice supersaturated regions: properties and validation of ERA-Interim reanalysis with IAGOS in situ water vapour measurements P. Reutter et al. https://doi.org/10.5194/acp-20-787-2020
- Examination of aerosol indirect effects during cirrus cloud evolution F. Maciel et al. https://doi.org/10.5194/acp-23-1103-2023
- 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
- 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
- Upper-tropospheric slightly ice-subsaturated regions: frequency of occurrence and statistical evidence for the appearance of contrail cirrus Y. Li et al. https://doi.org/10.5194/acp-23-2251-2023
- Gradients of Atmospheric Temperature and Humidity Controlled by Local Urban Land-Use Intensity in Boston J. Wang et al. https://doi.org/10.1175/JAMC-D-16-0325.1
- Cloud Phase and Relative Humidity Distributions over the Southern Ocean in Austral Summer Based on In Situ Observations and CAM5 Simulations J. D’Alessandro et al. https://doi.org/10.1175/JCLI-D-18-0232.1
- Ice Nucleation Parameterization and Relative Humidity Distribution in Idealized Squall-Line Simulations M. Diao et al. https://doi.org/10.1175/JAS-D-16-0356.1
- A Stochastic Representation of Temperature Fluctuations Induced by Mesoscale Gravity Waves B. Kärcher & A. Podglajen https://doi.org/10.1029/2019JD030680
- Effects of pre-existing ice crystals on cirrus clouds and comparison between different ice nucleation parameterizations with the Community Atmosphere Model (CAM5) X. Shi et al. https://doi.org/10.5194/acp-15-1503-2015
- Can Quasi‐Periodic Gravity Waves Influence the Shape of Ice Crystals in Cirrus Clouds? S. Saha et al. https://doi.org/10.1029/2020GL087909
- On the fidelity of high-resolution numerical weather forecasts of contrail-favorable conditions G. Thompson et al. https://doi.org/10.1016/j.atmosres.2024.107663
- The relationship between cloud distribution characteristics and meteorological elements over China Y. Yang et al. https://doi.org/10.1038/s41598-025-15003-x
- Ice Supersaturation Variability in Cirrus Clouds: Role of Vertical Wind Speeds and Deposition Coefficients B. Kärcher et al. https://doi.org/10.1029/2023JD039324
- Aerosol–cloud interactions in cirrus clouds based on global-scale airborne observations and machine learning models D. Ngo et al. https://doi.org/10.5194/acp-25-7007-2025
- Aerosol Indirect Effects on Cirrus Clouds Based on Global Aircraft Observations R. Patnaude & M. Diao https://doi.org/10.1029/2019GL086550
- Uncertainties in mitigating aviation non-CO2 emissions for climate and air quality using hydrocarbon fuels D. Lee et al. https://doi.org/10.1039/D3EA00091E
- 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
- Evaluation of the CAM6 Climate Model Using Cloud Observations at McMurdo Station, Antarctica J. Yip et al. https://doi.org/10.1029/2021JD034653
- Effects of thermodynamics, dynamics and aerosols on cirrus clouds based on in situ observations and NCAR CAM6 R. Patnaude et al. https://doi.org/10.5194/acp-21-1835-2021
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