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Characteristics of vertical velocity in marine stratocumulus: comparison of large eddy simulations with observations
by
Tao, Wei-Kuo
, Daum, Peter H
, Senum, Gunnar I
, Guo, Huan
, Liu, Yangang
in
Airborne observation
/ Kurtosis
/ Large eddy simulation
/ Power spectra
/ Probability density functions
/ Standard deviation
/ Structure-function relationships
/ Velocity
/ Vortices
2008
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Characteristics of vertical velocity in marine stratocumulus: comparison of large eddy simulations with observations
by
Tao, Wei-Kuo
, Daum, Peter H
, Senum, Gunnar I
, Guo, Huan
, Liu, Yangang
in
Airborne observation
/ Kurtosis
/ Large eddy simulation
/ Power spectra
/ Probability density functions
/ Standard deviation
/ Structure-function relationships
/ Velocity
/ Vortices
2008
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Do you wish to request the book?
Characteristics of vertical velocity in marine stratocumulus: comparison of large eddy simulations with observations
by
Tao, Wei-Kuo
, Daum, Peter H
, Senum, Gunnar I
, Guo, Huan
, Liu, Yangang
in
Airborne observation
/ Kurtosis
/ Large eddy simulation
/ Power spectra
/ Probability density functions
/ Standard deviation
/ Structure-function relationships
/ Velocity
/ Vortices
2008
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Characteristics of vertical velocity in marine stratocumulus: comparison of large eddy simulations with observations
Journal Article
Characteristics of vertical velocity in marine stratocumulus: comparison of large eddy simulations with observations
2008
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Overview
We simulated a marine stratus deck sampled during the Marine Stratus/Stratocumulus Experiment (MASE) with a three-dimensional large eddy simulation (LES) model at different model resolutions. Various characteristics of the vertical velocity from the model simulations were evaluated against those derived from the corresponding aircraft in situ observations, focusing on standard deviation, skewness, kurtosis, probability density function (PDF), power spectrum, and structure function. Our results show that although the LES model captures reasonably well the lower-order moments (e.g., horizontal averages and standard deviations), it fails to simulate many aspects of the higher-order moments, such as kurtosis, especially near cloud base and cloud top. Further investigations of the PDFs, power spectra, and structure functions reveal that compared to the observations, the model generally underestimates relatively strong variations on small scales. The results also suggest that increasing the model resolutions improves the agreements between the model results and the observations in virtually all of the properties that we examined. Furthermore, the results indicate that a vertical grid size <10m is necessary for accurately simulating even the standard-deviation profile, posing new challenges to computer resources.
Publisher
IOP Publishing
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