scholarly journals Tibetan Plateau Cloud Structure and Cloud Water Content Derived from Millimeter Cloud Radar Observations in Summer

2018 ◽  
Vol 176 (4) ◽  
pp. 1785-1796 ◽  
Author(s):  
Yujun Qiu ◽  
Chunsong Lu ◽  
Shi Luo
Keyword(s):  
Tibetan Plateau ◽  
Water Content ◽  
Cloud Water ◽  
Radar Observations ◽  
Cloud Structure ◽  
Cloud Radar ◽  
Cloud Water Content

PROFILING OF CLOUD WATER CONTENT BY ACTIVE-PASSIVE SENSING

2014 ◽  
Vol 73 (13) ◽  
pp. 1141-1152
Author(s):  
Ye. N. Belov ◽  
B. A. Kabanov ◽  
Stanislav I. Khomenko ◽  
G. I. Khlopov ◽  
A. M. Linkova ◽  
...  
Keyword(s):  
Water Content ◽  
Cloud Water ◽  
Passive Sensing ◽  
Cloud Water Content

Understanding the Extratropical Liquid Water Path Feedback in Mixed-Phase Clouds with an Idealized Global Climate Model

2022 ◽  
pp. 1-48
Author(s):  
Yi Ming
Keyword(s):  
Water Content ◽  
Liquid Water ◽  
Climate Model ◽  
Global Climate Model ◽  
Cloud Water ◽  
Mixed Phase ◽  
Liquid Water Path ◽  
Water Path ◽  
Cloud Water Content ◽  
Mixed Phase Clouds

Abstract A negative shortwave cloud feedback associated with higher extratropical liquid water content in mixed-phase clouds is a common feature of global warming simulations, and multiple mechanisms have been hypothesized. A set of process-level experiments performed with an idealized global climate model (a dynamical core with passive water and cloud tracers and full Rotstayn-Klein single-moment microphysics) show that the common picture of the liquid water path (LWP) feedback in mixed-phase clouds being controlled by the amount of ice susceptible to phase change is not robust. Dynamic condensate processes—rather than static phase partitioning—directly change with warming, with varied impacts on liquid and ice amounts. Here, three principal mechanisms are responsible for the LWP response, namely higher adiabatic cloud water content, weaker liquid-to-ice conversion through the Bergeron-Findeisen process, and faster melting of ice and snow to rain. Only melting is accompanied by a substantial loss of ice, while the adiabatic cloud water content increase gives rise to a net increase in ice water path (IWP) such that total cloud water also increases without an accompanying decrease in precipitation efficiency. Perturbed parameter experiments with a wide range of climatological LWP and IWP demonstrate a strong dependence of the LWP feedback on the climatological LWP and independence from the climatological IWP and supercooled liquid fraction. This idealized setup allows for a clean isolation of mechanisms and paints a more nuanced picture of the extratropical mixed-phase cloud water feedback than simple phase change.

scholarly journals Climatology of cloud water content associated with different cloud types observed by A-Train satellites

2015 ◽  
Vol 120 (9) ◽  
pp. 4196-4212 ◽  
Author(s):  
Lei Huang ◽  
Jonathan H. Jiang ◽  
Zhien Wang ◽  
Hui Su ◽  
Min Deng ◽  
...  
Keyword(s):  
Water Content ◽  
Cloud Water ◽  
Cloud Water Content

Validation of MODIS liquid water path for oceanic nonraining warm clouds: Implications on the vertical profile of cloud water content

2016 ◽  
Vol 121 (9) ◽  
pp. 4855-4876 ◽  
Author(s):  
Lingli Zhou ◽  
Qi Liu ◽  
Dongyang Liu ◽  
Lei Xie ◽  
Lin Qi ◽  
...  
Keyword(s):  
Water Content ◽  
Liquid Water ◽  
Vertical Profile ◽  
Cloud Water ◽  
Liquid Water Path ◽  
Water Path ◽  
Cloud Water Content

scholarly journals On the Definition of the Cloud Water Content Fluctuations and Its Effects on the Computation of a Second-Order Liquid Water Correlation

2007 ◽  
Vol 64 (2) ◽  
pp. 665-669 ◽  
Author(s):  
E. Bouzereau ◽  
L. Musson-Genon ◽  
B. Carissimo
Keyword(s):  
Water Content ◽  
Liquid Water ◽  
Climate Models ◽  
Cloud Water ◽  
Second Order ◽  
Subgrid Scale ◽  
Eddy Flux ◽  
Cloud Models ◽  
Cloud Water Content ◽  
Definition Of

Abstract In subgrid-scale condensation schemes of cloud models, the majority of previous authors have relied on results presented in a paper by Bougeault. In the present paper, second-order liquid water correlations are restated that differ from the former paper but are coherent with the corrigendum of Mellor. These differences are explained here through two different underlying definitions of cloud water content fluctuations; they can be summarized by whether or not unsaturated air within a grid box contributes to the eddy flux of the cloud water content. Taking into account the issue mentioned above, the “buoyancy flux” is also derived. Although the full impact of these changes has not been evaluated here, it may become important for future global cloud-resolving climate models.

scholarly journals Effect of Cloud Water Content on the Atmospheric Extinction

2011 ◽  
Vol 11 ◽  
pp. 1493-1498
Author(s):  
Xiying Wang ◽  
Chenji Niu ◽  
Hong Qi ◽  
Liming Ruan
Keyword(s):  
Water Content ◽  
Cloud Water ◽  
Atmospheric Extinction ◽  
Cloud Water Content
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