globalchange  > 气候减缓与适应
DOI: 10.1029/2017JD028104
Scopus记录号: 2-s2.0-85050373843
论文题名:
On the Forward Modeling of Radar Doppler Spectrum Width From LES: Implications for Model Evaluation
作者: Chen Y.-S.; Verlinde J.; Clothiaux E.E.; Ackerman A.S.; Fridlind A.M.; Chamecki M.; Kollias P.; Kirkpatrick M.P.; Chen B.-C.; Yu G.; Avramov A.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期:14
起始页码: 7444
结束页码: 7461
语种: 英语
英文摘要: Large-eddy simulations of an observed single-layer Arctic mixed-phase cloud are analyzed to study the value of forward modeling of profiling millimeter wave cloud radar Doppler spectral width for model evaluation. Individual broadening terms and their uncertainties are quantified for the observed spectral width and compared to modeled broadening terms. Modeled turbulent broadening is narrower than the observed values when the turbulent kinetic energy dissipation rate from the subgrid scale model is used in the forward model. The total dissipation rates, estimated with the subgrid scale dissipation rates and the numerical dissipation rates, agree much better with both the retrieved dissipation rates and those inferred from the power spectra of the simulated vertical air velocity. The comparison of the microphysical broadening provides another evaluative measure of the ice properties in the simulation. To accurately retrieve dissipation rates as well as each broadening term from the observations, we suggest a few modifications to previously presented techniques. First, we show that the inertial subrange spectrum filtered with the radar sampling volume is a better underlying model than the unfiltered −5/3 law for the retrieval of the dissipation rate from the power spectra of the mean Doppler velocity. Second, we demonstrate that it is important to filter out turbulence and remove the layer-mean reflectivity-weighted mean fall speed from the observed mean Doppler velocity to avoid overestimation of shear broadening. Finally, we provide a method to quantify the uncertainty in the retrieved dissipation rates, which eventually propagates to the uncertainty in the microphysical broadening. ©2018. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113501
Appears in Collections:气候减缓与适应

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作者单位: Department of Meteorology and Atmospheric Science, Pennsylvania State University, University Park, PA, United States; NASA Goddard Institute for Space Studies, New York, NY, United States; Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA, United States; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, United States; Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, United States; School of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, Sydney, NSW, Australia; Now at Compagnie Générale de Géophysique, Houston, TX, United States; Now at Department of Environmental Sciences, Emory University, Atlanta, GA, United States

Recommended Citation:
Chen Y.-S.,Verlinde J.,Clothiaux E.E.,et al. On the Forward Modeling of Radar Doppler Spectrum Width From LES: Implications for Model Evaluation[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(14)
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