Impacts of Representing Heterogeneous Distribution of Cloud Liquid and Ice on Phase Partitioning of Arctic Mixed-Phase Clouds with NCAR CAM5
Abstract
In this study, we conduct sensitivity experiments with the Community Atmosphere Model version 5 to understand the impact of representing heterogeneous distribution between cloud liquid and ice on the phase partitioning in mixed-phase clouds through different perturbations on the Wegener-Bergeron-Findeisen (WBF) process. In two experiments, perturbation factors that are based on assumptions of pocket structure and the partial homogeneous cloud volume derived from the High-performance Instrumented Airborne Platform for Environmental Research (HIAPER) Pole-to-Pole Observation (HIPPO) campaign are utilized. Alternately, a mass-weighted assumption is used in the calculation of WBF process to mimic the appearance of unsaturated area in mixed-phase clouds as the result of heterogeneous distribution. Model experiments are tested in both single column and weather forecast modes and evaluated against data from the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program's Mixed-Phase Arctic Cloud Experiment (M-PACE) field campaign and long-term ground-based multisensor measurements. Model results indicate that perturbations on the WBF process can significantly modify simulated microphysical properties of Arctic mixed-phase clouds. The improvement of simulated cloud water phase partitioning tends to be linearly proportional to the perturbation magnitude that is applied in the three different sensitivity experiments. Cloud macrophysical properties such as cloud fraction and frequencymore »
- Authors:
-
[1];
[1];
[2];
[4];
[5];
[6];
[8]
- Univ. of Wyoming, Laramie, WY (United States); Texas A & M Univ., College Station, TX (United States)
- San Jose State Univ., CA (United States)
- Univ. of Oklahoma, Norman, OK (United States)
- Tsinghua Univ., Beijing (China)
- Chinese Academy of Sciences (CAS), Beijing (China). International Center for Climate and Environment Sciences
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Univ. of Colorado, Boulder, CO (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Publication Date:
- Research Org.:
- Brookhaven National Laboratory (BNL), Upton, NY (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF)
- OSTI Identifier:
- 1656596
- Alternate Identifier(s):
- OSTI ID: 1577187; OSTI ID: 1642508
- Report Number(s):
- BNL-216306-2020-JAAM; LLNL-JRNL-796378
Journal ID: ISSN 2169-897X
- Grant/Contract Number:
- SC0012704; AC52-07NA27344; OPP-1744965; AGS-1642291; DE‐SC0018926); DE‐SC0014239
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Additional Journal Information:
- Journal Volume: 124; Journal Issue: 23; Journal ID: ISSN 2169-897X
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Environmental sciences
Citation Formats
Zhang, Meng, Liu, Xiaohong, Diao, Minghui, D'Alessandro, John J., Wang, Yong, Wu, Chenglai, Zhang, Damao, Wang, Zhien, and Xie, Shaocheng. Impacts of Representing Heterogeneous Distribution of Cloud Liquid and Ice on Phase Partitioning of Arctic Mixed-Phase Clouds with NCAR CAM5. United States: N. p., 2019.
Web. doi:10.1029/2019jd030502.
Zhang, Meng, Liu, Xiaohong, Diao, Minghui, D'Alessandro, John J., Wang, Yong, Wu, Chenglai, Zhang, Damao, Wang, Zhien, & Xie, Shaocheng. Impacts of Representing Heterogeneous Distribution of Cloud Liquid and Ice on Phase Partitioning of Arctic Mixed-Phase Clouds with NCAR CAM5. United States. https://doi.org/10.1029/2019jd030502
Zhang, Meng, Liu, Xiaohong, Diao, Minghui, D'Alessandro, John J., Wang, Yong, Wu, Chenglai, Zhang, Damao, Wang, Zhien, and Xie, Shaocheng. Wed .
"Impacts of Representing Heterogeneous Distribution of Cloud Liquid and Ice on Phase Partitioning of Arctic Mixed-Phase Clouds with NCAR CAM5". United States. https://doi.org/10.1029/2019jd030502. https://www.osti.gov/servlets/purl/1656596.
@article{osti_1656596,
title = {Impacts of Representing Heterogeneous Distribution of Cloud Liquid and Ice on Phase Partitioning of Arctic Mixed-Phase Clouds with NCAR CAM5},
author = {Zhang, Meng and Liu, Xiaohong and Diao, Minghui and D'Alessandro, John J. and Wang, Yong and Wu, Chenglai and Zhang, Damao and Wang, Zhien and Xie, Shaocheng},
abstractNote = {In this study, we conduct sensitivity experiments with the Community Atmosphere Model version 5 to understand the impact of representing heterogeneous distribution between cloud liquid and ice on the phase partitioning in mixed-phase clouds through different perturbations on the Wegener-Bergeron-Findeisen (WBF) process. In two experiments, perturbation factors that are based on assumptions of pocket structure and the partial homogeneous cloud volume derived from the High-performance Instrumented Airborne Platform for Environmental Research (HIAPER) Pole-to-Pole Observation (HIPPO) campaign are utilized. Alternately, a mass-weighted assumption is used in the calculation of WBF process to mimic the appearance of unsaturated area in mixed-phase clouds as the result of heterogeneous distribution. Model experiments are tested in both single column and weather forecast modes and evaluated against data from the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program's Mixed-Phase Arctic Cloud Experiment (M-PACE) field campaign and long-term ground-based multisensor measurements. Model results indicate that perturbations on the WBF process can significantly modify simulated microphysical properties of Arctic mixed-phase clouds. The improvement of simulated cloud water phase partitioning tends to be linearly proportional to the perturbation magnitude that is applied in the three different sensitivity experiments. Cloud macrophysical properties such as cloud fraction and frequency of occurrence of low-level mixed-phase clouds are less sensitive to the perturbation magnitude than cloud microphysical properties. Moreover, this study indicates that heterogeneous distribution between cloud hydrometeors should be treated consistently for all cloud microphysical processes. The model vertical resolution is also important for liquid water maintenance in mixed-phase clouds.},
doi = {10.1029/2019jd030502},
journal = {Journal of Geophysical Research: Atmospheres},
number = 23,
volume = 124,
place = {United States},
year = {Wed Dec 04 00:00:00 EST 2019},
month = {Wed Dec 04 00:00:00 EST 2019}
}
Free Publicly Available Full Text
Publisher's Version of Record
Other availability
Search WorldCat to find libraries that may hold this journal
Cited by: 17 works
Citation information provided by
Web of Science
Web of Science
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
Rates of phase transformations in mixed-phase clouds
journal, January 2008
- Korolev, Alexei V.
- Quarterly Journal of the Royal Meteorological Society, Vol. 134, Issue 632
Recently amplified arctic warming has contributed to a continual global warming trend
journal, November 2017
- Huang, Jianbin; Zhang, Xiangdong; Zhang, Qiyi
- Nature Climate Change, Vol. 7, Issue 12
Toward a minimal representation of aerosols in climate models: description and evaluation in the Community Atmosphere Model CAM5
journal, January 2012
- Liu, X.; Easter, R. C.; Ghan, S. J.
- Geoscientific Model Development, Vol. 5, Issue 3
Resilience of persistent Arctic mixed-phase clouds
journal, December 2011
- Morrison, Hugh; de Boer, Gijs; Feingold, Graham
- Nature Geoscience, Vol. 5, Issue 1
Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian climate centre general circulation model
journal, September 1995
- Zhang, G. J.; McFarlane, Norman A.
- Atmosphere-Ocean, Vol. 33, Issue 3
Can Ice-Nucleating Aerosols Affect Arctic Seasonal Climate?
journal, April 2007
- Prenni, Anthony J.; Harrington, Jerry Y.; Tjernström, Michael
- Bulletin of the American Meteorological Society, Vol. 88, Issue 4
Parameterizing ice nucleation rates using contact angle and activation energy derived from laboratory data
journal, January 2008
- Chen, J. -P.; Hazra, A.; Levin, Z.
- Atmospheric Chemistry and Physics, Vol. 8, Issue 24
Simulations of Arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE
journal, January 2008
- Xie, Shaocheng; Boyle, James; Klein, Stephen A.
- Journal of Geophysical Research, Vol. 113, Issue D4
Arctic amplification dominated by temperature feedbacks in contemporary climate models
journal, February 2014
- Pithan, Felix; Mauritsen, Thorsten
- Nature Geoscience, Vol. 7, Issue 3
Sensitivity of CAM5-Simulated Arctic Clouds and Radiation to Ice Nucleation Parameterization
journal, August 2013
- Xie, Shaocheng; Liu, Xiaohong; Zhao, Chuanfeng
- Journal of Climate, Vol. 26, Issue 16
One hundred years of Arctic surface temperature variation due to anthropogenic influence
journal, September 2013
- Fyfe, John C.; von Salzen, Knut; Gillett, Nathan P.
- Scientific Reports, Vol. 3, Issue 1
Sensitivity Study on the Influence of Cloud Microphysical Parameters on Mixed-Phase Cloud Thermodynamic Phase Partitioning in CAM5
journal, February 2016
- Tan, Ivy; Storelvmo, Trude
- Journal of the Atmospheric Sciences, Vol. 73, Issue 2
Integrating laboratory and field data to quantify the immersion freezing ice nucleation activity of mineral dust particles
journal, January 2015
- DeMott, P. J.; Prenni, A. J.; McMeeking, G. R.
- Atmospheric Chemistry and Physics, Vol. 15, Issue 1
Observational constraints on mixed-phase clouds imply higher climate sensitivity
journal, April 2016
- Tan, I.; Storelvmo, T.; Zelinka, M. D.
- Science, Vol. 352, Issue 6282
Supersaturation of Water Vapor in Clouds
journal, December 2003
- Korolev, Alexei V.; Mazin, Ilia P.
- Journal of the Atmospheric Sciences, Vol. 60, Issue 24
July 2012 Greenland melt extent enhanced by low-level liquid clouds
journal, April 2013
- Bennartz, R.; Shupe, M. D.; Turner, D. D.
- Nature, Vol. 496, Issue 7443
A Classical-Theory-Based Parameterization of Heterogeneous Ice Nucleation by Mineral Dust, Soot, and Biological Particles in a Global Climate Model
journal, August 2010
- Hoose, Corinna; Kristjánsson, Jón Egill; Chen, Jen-Ping
- Journal of the Atmospheric Sciences, Vol. 67, Issue 8
Objective Determination of Cloud Heights and Radar Reflectivities Using a Combination of Active Remote Sensors at the ARM CART Sites
journal, May 2000
- Clothiaux, Eugene E.; Ackerman, Thomas P.; Mace, Gerald G.
- Journal of Applied Meteorology, Vol. 39, Issue 5
A Physically Based Subgrid Parameterization for the Production and Maintenance of Mixed-Phase Clouds in a General Circulation Model
journal, January 2016
- Furtado, K.; Field, P. R.; Boutle, I. A.
- Journal of the Atmospheric Sciences, Vol. 73, Issue 1
Increased Arctic cloud longwave emissivity associated with pollution from mid-latitudes
journal, April 2006
- Garrett, Timothy J.; Zhao, Chuanfeng
- Nature, Vol. 440, Issue 7085
Microphysical characterization of mixed-phase clouds
journal, January 2003
- Korolev, Alexei V.; Isaac, George A.; Cober, Stewart G.
- Quarterly Journal of the Royal Meteorological Society, Vol. 129, Issue 587
Role of a Parameterized Ice-Phase Microphysics in an Axisymmetric, Nonhydrostatic Tropical Cyclone Model
journal, October 1984
- Lord, Stephen J.; Willoughby, Hugh E.; Piotrowicz, Jacqueline M.
- Journal of the Atmospheric Sciences, Vol. 41, Issue 19
The Mixed-Phase Arctic Cloud Experiment
journal, February 2007
- Verlinde, J.; Harrington, J. Y.; McFarquhar, G. M.
- Bulletin of the American Meteorological Society, Vol. 88, Issue 2
Predicting global atmospheric ice nuclei distributions and their impacts on climate
journal, June 2010
- DeMott, P. J.; Prenni, A. J.; Liu, X.
- Proceedings of the National Academy of Sciences, Vol. 107, Issue 25
The central role of diminishing sea ice in recent Arctic temperature amplification
journal, April 2010
- Screen, James A.; Simmonds, Ian
- Nature, Vol. 464, Issue 7293
HIAPER Pole-to-Pole Observations (HIPPO): fine-grained, global-scale measurements of climatically important atmospheric gases and aerosols
journal, May 2011
- Wofsy, S. C.
- Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 369, Issue 1943
Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. II: Multilayer cloud
journal, April 2009
- Morrison, Hugh; McCoy, Renata B.; Klein, Stephen A.
- Quarterly Journal of the Royal Meteorological Society, Vol. 135, Issue 641
Cloud microphysics and circulation anomalies control differences in future Greenland melt
journal, June 2019
- Hofer, Stefan; Tedstone, Andrew J.; Fettweis, Xavier
- Nature Climate Change, Vol. 9, Issue 7
Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: single-layer cloud
journal, April 2009
- Klein, Stephen A.; McCoy, Renata B.; Morrison, Hugh
- Quarterly Journal of the Royal Meteorological Society, Vol. 135, Issue 641
Different contact angle distributions for heterogeneous ice nucleation in the Community Atmospheric Model version 5
journal, January 2014
- Wang, Y.; Liu, X.; Hoose, C.
- Atmospheric Chemistry and Physics, Vol. 14, Issue 19
New Primary Ice-Nucleation Parameterizations in an Explicit Cloud Model
journal, July 1992
- Meyers, Michael P.; DeMott, Paul J.; Cotton, William R.
- Journal of Applied Meteorology, Vol. 31, Issue 7
Tests and improvements of GCM cloud parameterizations using the CCCMA SCM with the SHEBA data set
journal, November 2006
- Yuan, Jian; Fu, Qiang; McFarlane, Norman
- Atmospheric Research, Vol. 82, Issue 1-2
Modeling of the Wegener–Bergeron–Findeisen process—implications for aerosol indirect effects
journal, January 2010
- Storelvmo, T.; Kristjánsson, J. E.; Lohmann, U.
- Environmental Research Letters, Vol. 5, Issue 1
Why are mixed-phase altocumulus clouds poorly predicted by large-scale models? Part 1. Physical processes: MIXED-PHASE CLOUDS IN NUMERICAL MODELS
journal, September 2017
- Barrett, Andrew I.; Hogan, Robin J.; Forbes, Richard M.
- Journal of Geophysical Research: Atmospheres, Vol. 122, Issue 18
Why are mixed-phase altocumulus clouds poorly predicted by large-scale models? Part 2. Vertical resolution sensitivity and parameterization: RESOLUTION SENSITIVITY OF ALTOCUMULUS
journal, September 2017
- Barrett, Andrew I.; Hogan, Robin J.; Forbes, Richard M.
- Journal of Geophysical Research: Atmospheres, Vol. 122, Issue 18
A New Moist Turbulence Parameterization in the Community Atmosphere Model
journal, June 2009
- Bretherton, Christopher S.; Park, Sungsu
- Journal of Climate, Vol. 22, Issue 12
Improved Measurements of the Ice Water Content in Cirrus Using a Total-Water Probe
journal, April 1995
- Brown, Philip R. A.; Francis, Peter N.
- Journal of Atmospheric and Oceanic Technology, Vol. 12, Issue 2
Cloud Phase and Relative Humidity Distributions over the Southern Ocean in Austral Summer Based on In Situ Observations and CAM5 Simulations
journal, May 2019
- D’Alessandro, John J.; Diao, Minghui; Wu, Chenglai
- Journal of Climate, Vol. 32, Issue 10
Arctic Mixed-Phase Stratiform Cloud Properties from Multiple Years of Surface-Based Measurements at Two High-Latitude Locations
journal, September 2009
- de Boer, Gijs; Eloranta, Edwin W.; Shupe, Matthew D.
- Journal of the Atmospheric Sciences, Vol. 66, Issue 9
Representation of Arctic mixed-phase clouds and the Wegener-Bergeron-Findeisen process in climate models: Perspectives from a cloud-resolving study
journal, January 2011
- Fan, Jiwen; Ghan, Steven; Ovchinnikov, Mikhail
- Journal of Geophysical Research, Vol. 116
A FIRE-ACE/SHEBA Case Study of Mixed-Phase Arctic Boundary Layer Clouds: Entrainment Rate Limitations on Rapid Primary Ice Nucleation Processes
journal, January 2012
- Fridlind, Ann M.; van Diedenhoven, Bastiaan; Ackerman, Andrew S.
- Journal of the Atmospheric Sciences, Vol. 69, Issue 1
Cloud resolving simulations of Arctic stratus
journal, April 1999
- Harrington, Jerry Y.; Reisin, Tamir; Cotton, William R.
- Atmospheric Research, Vol. 51, Issue 1
Radiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer models
journal, January 2008
- Iacono, Michael J.; Delamere, Jennifer S.; Mlawer, Eli J.
- Journal of Geophysical Research, Vol. 113, Issue D13
Cloud Resolving Simulations of Mixed-Phase Arctic Stratus Observed during BASE: Sensitivity to Concentration of Ice Crystals and Large-Scale Heat and Moisture Advection
journal, July 2000
- Jiang, Hongli; Cotton, William R.; Pinto, James O.
- Journal of the Atmospheric Sciences, Vol. 57, Issue 13
Evaluation of the Lidar–Radar Cloud Ice Water Content Retrievals Using Collocated in Situ Measurements
journal, October 2015
- Khanal, Sujan; Wang, Zhien
- Journal of Applied Meteorology and Climatology, Vol. 54, Issue 10
Limitations of the Wegener–Bergeron–Findeisen Mechanism in the Evolution of Mixed-Phase Clouds
journal, September 2007
- Korolev, Alexei
- Journal of the Atmospheric Sciences, Vol. 64, Issue 9
The Effect of Dynamics on Mixed-Phase Clouds: Theoretical Considerations
journal, January 2008
- Korolev, Alexei; Field, Paul R.
- Journal of the Atmospheric Sciences, Vol. 65, Issue 1
Relative Humidity in Liquid, Mixed-Phase, and Ice Clouds
journal, November 2006
- Korolev, Alexei; Isaac, George A.
- Journal of the Atmospheric Sciences, Vol. 63, Issue 11
Mixed-Phase Clouds: Progress and Challenges
journal, January 2017
- Korolev, A.; McFarquhar, G.; Field, P. R.
- Meteorological Monographs, Vol. 58
Testing cloud microphysics parameterizations in NCAR CAM5 with ISDAC and M-PACE observations
journal, January 2011
- Liu, Xiaohong; Xie, Shaocheng; Boyle, James
- Journal of Geophysical Research, Vol. 116
Evaluation of a new mixed-phase cloud microphysics parameterization with CAM3 single-column model and M-PACE observations: CLOUD MICROPHYSICS PARAMETERIZATION
journal, December 2007
- Liu, Xiaohong; Xie, Shaocheng; Ghan, Steven J.
- Geophysical Research Letters, Vol. 34, Issue 23
Mixed‐phase cloud physics and Southern Ocean cloud feedback in climate models
journal, September 2015
- McCoy, Daniel T.; Hartmann, Dennis L.; Zelinka, Mark D.
- Journal of Geophysical Research: Atmospheres, Vol. 120, Issue 18
On the relationships among cloud cover, mixed-phase partitioning, and planetary albedo in GCMs: CLOUD COVER, MIXED-PHASE, AND ALBEDO
journal, May 2016
- McCoy, Daniel T.; Tan, Ivy; Hartmann, Dennis L.
- Journal of Advances in Modeling Earth Systems, Vol. 8, Issue 2
A New Two-Moment Bulk Stratiform Cloud Microphysics Scheme in the Community Atmosphere Model, Version 3 (CAM3). Part I: Description and Numerical Tests
journal, August 2008
- Morrison, Hugh; Gettelman, Andrew
- Journal of Climate, Vol. 21, Issue 15
Intercomparison of Bulk Cloud Microphysics Schemes in Mesoscale Simulations of Springtime Arctic Mixed-Phase Stratiform Clouds
journal, July 2006
- Morrison, H.; Pinto, J. O.
- Monthly Weather Review, Vol. 134, Issue 7
The University of Washington Shallow Convection and Moist Turbulence Schemes and Their Impact on Climate Simulations with the Community Atmosphere Model
journal, June 2009
- Park, Sungsu; Bretherton, Christopher S.
- Journal of Climate, Vol. 22, Issue 12
Autumnal Mixed-Phase Cloudy Boundary Layers in the Arctic
journal, June 1998
- Pinto, James O.
- Journal of the Atmospheric Sciences, Vol. 55, Issue 11
Clouds at Arctic Atmospheric Observatories. Part II: Thermodynamic Phase Characteristics
journal, March 2011
- Shupe, Matthew D.
- Journal of Applied Meteorology and Climatology, Vol. 50, Issue 3
Vertical Motions in Arctic Mixed-Phase Stratiform Clouds
journal, April 2008
- Shupe, Matthew D.; Kollias, Pavlos; Persson, P. Ola G.
- Journal of the Atmospheric Sciences, Vol. 65, Issue 4
Arctic Mixed-Phase Cloud Properties Derived from Surface-Based Sensors at SHEBA
journal, February 2006
- Shupe, Matthew D.; Matrosov, Sergey Y.; Uttal, Taneil
- Journal of the Atmospheric Sciences, Vol. 63, Issue 2
Investigation of Microphysical Parameterizations of Snow and Ice in Arctic Clouds during M-PACE through Model–Observation Comparisons
journal, September 2009
- Solomon, Amy; Morrison, Hugh; Persson, Ola
- Monthly Weather Review, Vol. 137, Issue 9
Modeling of the Wegener–Bergeron–Findeisen process—implications for aerosol indirect effects
journal, October 2008
- Storelvmo, T.; Kristjánsson, J. E.; Lohmann, U.
- Environmental Research Letters, Vol. 3, Issue 4
Distinct Contributions of Ice Nucleation, Large-Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5
journal, January 2018
- Wang, Yong; Zhang, Damao; Liu, Xiaohong
- Journal of Geophysical Research: Atmospheres, Vol. 123, Issue 2
A Refined Two-Channel Microwave Radiometer Liquid Water Path Retrieval for Cold Regions by Using Multiple-Sensor Measurements
journal, October 2007
- Wang, Zhien
- IEEE Geoscience and Remote Sensing Letters, Vol. 4, Issue 4
Cirrus Cloud Microphysical Property Retrieval Using Lidar and Radar Measurements. Part I: Algorithm Description and Comparison with In Situ Data
journal, March 2002
- Wang, Zhien; Sassen, Kenneth
- Journal of Applied Meteorology, Vol. 41, Issue 3
Relationships between Total Water, Condensed Water, and Cloud Fraction in Stratiform Clouds Examined Using Aircraft Data
journal, June 2000
- Wood, Robert; Field, Paul R.
- Journal of the Atmospheric Sciences, Vol. 57, Issue 12
An assessment of ECMWF analyses and model forecasts over the North Slope of Alaska using observations from the ARM Mixed-Phase Arctic Cloud Experiment
journal, January 2006
- Xie, Shaocheng; Klein, Stephen A.; Yio, John J.
- Journal of Geophysical Research, Vol. 111, Issue D5
Simulations of midlatitude frontal clouds by single-column and cloud-resolving models during the Atmospheric Radiation Measurement March 2000 cloud intensive operational period
journal, January 2005
- Xie, Shaocheng
- Journal of Geophysical Research, Vol. 110, Issue D15
Comparison of Antarctic and Arctic Single‐Layer Stratiform Mixed‐Phase Cloud Properties Using Ground‐Based Remote Sensing Measurements
journal, September 2019
- Zhang, Damao; Vogelmann, Andrew; Kollias, Pavlos
- Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 17-18
Ice Concentration Retrieval in Stratiform Mixed-Phase Clouds Using Cloud Radar Reflectivity Measurements and 1D Ice Growth Model Simulations
journal, October 2014
- Zhang, Damao; Wang, Zhien; Heymsfield, Andrew
- Journal of the Atmospheric Sciences, Vol. 71, Issue 10
Different contact angle distributions for heterogeneous ice nucleation in the community atmospheric model version 5
text, January 2014
- Wang, Y.; Liu, X.; Hoose, C.
- Karlsruhe