Temporally resolved imaging of ice nucleation and growth in highly supercooled water

Author(s):  
John P. McCloskey ◽  
Jens O. M. Karlsson
Nature ◽  
1964 ◽  
Vol 203 (4952) ◽  
pp. 1343-1345 ◽  
Author(s):  
HENRY M. PAPÉE ◽  
ALBERTO C. MONTEFINALE ◽  
T. W. ZAWIDZKI

2016 ◽  
Vol 18 (38) ◽  
pp. 26796-26806 ◽  
Author(s):  
Atanu K. Metya ◽  
Jayant K. Singh ◽  
Florian Müller-Plathe

Ice nucleation and growth on nanostructured surfaces.


2003 ◽  
Vol 3 (4) ◽  
pp. 3361-3372 ◽  
Author(s):  
J. E. Kay ◽  
V. Tsemekhman ◽  
B. Larson ◽  
M. Baker ◽  
B. Swanson

Abstract. We investigate theoretical, laboratory, and atmospheric evidence for a recently proposed hypothesis: homogenous ice nucleation occurs at the surface, not in the volume, of supercooled water drops. Using existing thermodynamic arguments, laboratory experiments, and atmospheric data, we conclude that ice embryo formation at the surface cannot be confirmed or disregarded. Ice nucleation rates measured as a function of drop size in an air ambient could help distinguish between volume and surface nucleation rates.


2003 ◽  
Vol 3 (5) ◽  
pp. 1439-1443 ◽  
Author(s):  
J. E. Kay ◽  
V. Tsemekhman ◽  
B. Larson ◽  
M. Baker ◽  
B. Swanson

Abstract. We investigate theoretical, laboratory, and atmospheric evidence for a recently proposed hypothesis: homogeneous ice nucleation initiates at the surface, not in the volume, of supercooled water drops. Using existing thermodynamic arguments, laboratory experiments, and atmospheric data, we conclude that ice embryo formation at the surface cannot be confirmed or disregarded. Ice nucleation rates measured as a function of drop size in an air ambient could help distinguish between volume and surface nucleation rates.


2020 ◽  
Author(s):  
Li-Ping Wang ◽  
Wei-Liang Kong ◽  
Pei-Xiang Bian ◽  
Fu-Xin Wang ◽  
Hong Liu

2017 ◽  
Vol 17 (7) ◽  
pp. 4731-4749 ◽  
Author(s):  
Chenglai Wu ◽  
Xiaohong Liu ◽  
Minghui Diao ◽  
Kai Zhang ◽  
Andrew Gettelman ◽  
...  

Abstract. In this study we evaluate cloud properties simulated by the Community Atmosphere Model version 5 (CAM5) using in situ measurements from the HIAPER Pole-to-Pole Observations (HIPPO) campaign for the period of 2009 to 2011. The modeled wind and temperature are nudged towards reanalysis. Model results collocated with HIPPO flight tracks are directly compared with the observations, and model sensitivities to the representations of ice nucleation and growth are also examined. Generally, CAM5 is able to capture specific cloud systems in terms of vertical configuration and horizontal extension. In total, the model reproduces 79.8 % of observed cloud occurrences inside model grid boxes and even higher (94.3 %) for ice clouds (T ≤ −40 °C). The missing cloud occurrences in the model are primarily ascribed to the fact that the model cannot account for the high spatial variability of observed relative humidity (RH). Furthermore, model RH biases are mostly attributed to the discrepancies in water vapor, rather than temperature. At the micro-scale of ice clouds, the model captures the observed increase of ice crystal mean sizes with temperature, albeit with smaller sizes than the observations. The model underestimates the observed ice number concentration (Ni) and ice water content (IWC) for ice crystals larger than 75 µm in diameter. Modeled IWC and Ni are more sensitive to the threshold diameter for autoconversion of cloud ice to snow (Dcs), while simulated ice crystal mean size is more sensitive to ice nucleation parameterizations than to Dcs. Our results highlight the need for further improvements to the sub-grid RH variability and ice nucleation and growth in the model.


Lab on a Chip ◽  
2009 ◽  
Vol 9 (16) ◽  
pp. 2293 ◽  
Author(s):  
Claudiu A. Stan ◽  
Grégory F. Schneider ◽  
Sergey S. Shevkoplyas ◽  
Michinao Hashimoto ◽  
Mihai Ibanescu ◽  
...  

Cryobiology ◽  
2007 ◽  
Vol 55 (3) ◽  
pp. 330 ◽  
Author(s):  
Brian Wowk ◽  
Gregory M. Fahy

AIP Advances ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 125122
Author(s):  
Liping Wang ◽  
Weiliang Kong ◽  
Fuxin Wang ◽  
Hong Liu

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