Regime dependence of cloud condensate variability observed at the Atmospheric Radiation Measurement Sites
Regime dependence of cloud condensate variability observed at the Atmospheric Radiation Measurement Sites
复制标题
在大气辐射测量站点观测到的云凝结水变化的规律依赖性
DOI:
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发表时间:
2016
期刊:
影响因子:
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通讯作者:
R. Forbes
中科院分区:
文献类型:
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作者:
M. Ahlgrimm;R. Forbes
Microphysical processes and cloud–radiation interaction occur on spatial scales of variability smaller than those represented explicitly in global weather forecasting and climate models. It is therefore necessary to parametrize the unresolved heterogeneity of humidity and cloud condensate in order to predict process rates accurately. Ground‐based observations from the Atmospheric Radiation Measurement sites located in various climatic regions of the world provide a source of high‐temporal‐resolution observations of cloud condensate. A number of different retrieval products for cloud condensate are assessed for the different geographical regions, years and seasons. The retrieval reliability varies with cloud type, but for cloud categories largely unaffected by precipitation a comparison across sites and longer time periods is possible. These observations confirm previously documented variability behaviour as a function of cloud fraction, but also reveal a systematic regime dependence that is not captured by existing parametrizations. Condensate variability measured as a fractional standard deviation (FSD) in warm boundary‐layer clouds is greater in the Tropics than in mid and high latitudes for scenes with comparable cloud type and fraction, with the observed FSD varying from 1.2 in the Tropics to 0.4 in the Arctic. A parametrization of the FSD of cloud liquid condensate based on the grid‐box mean total water amount and cloud fraction is formulated and shown to capture the observed range of FSD values better across different geographical sites and different seasons. The regime dependence of FSD for cirrus cloud is less pronounced than that for liquid clouds and is found largely to agree with FSD values previously derived from satellite observations.
影响因子:
2.2
作者:
N. Gaussiat;R. Hogan;A. Illingworth
通讯作者:
N. Gaussiat;R. Hogan;A. Illingworth
影响因子:
8.9
作者:
J. Shonk;Robin J. Hogan
通讯作者:
J. Shonk;Robin J. Hogan
影响因子:
8.9
作者:
P. Hill;R. Hogan;J. Manners;J. Petch
通讯作者:
P. Hill;R. Hogan;J. Manners;J. Petch