GSTDTAP  > 气候变化
DOI10.1029/2017JD028104
On the Forward Modelling of Radar Dopppler Spectrum Width From LES: Implications for Model Evalution
Chen, Y-S1; Verlinde, J.1; Clothiaux, E. E.1; Ackerman, A. S.2; Fridlind, A. M.2; Chamecki, M.3; Kollias, P.4,5; Kirkpatrick, M. P.6; Chen, B-C1; Yu, G.1,7; Avramov, A.2,8
2018-07-27
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2018
卷号123期号:14页码:7444-7461
文章类型Article
语种英语
国家USA; Australia
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.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000441965400025
WOS关键词LARGE-EDDY SIMULATIONS ; MIXED-PHASE CLOUDS ; DOPPLER SPECTRA ; DISSIPATION RATE ; BOUNDARY-LAYER ; AIRCRAFT OBSERVATIONS ; SMAGORINSKY MODEL ; NUMERICAL ERRORS ; TURBULENCE ; STRATOCUMULUS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/32477
专题气候变化
作者单位1.Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16802 USA;
2.NASA, Goddard Inst Space Studies, New York, NY 10025 USA;
3.Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA USA;
4.SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USA;
5.Brookhaven Natl Lab, Environm & Climate Sci Dept, Upton, NY 11973 USA;
6.Univ Sydney, Sch Aerosp Mech & Mechatron Engn, Sydney, NSW, Australia;
7.Co Gen Geophys, Houston, TX USA;
8.Emory Univ, Dept Environm Sci, Atlanta, GA 30322 USA
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GB/T 7714
Chen, Y-S,Verlinde, J.,Clothiaux, E. E.,et al. On the Forward Modelling of Radar Dopppler Spectrum Width From LES: Implications for Model Evalution[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(14):7444-7461.
APA Chen, Y-S.,Verlinde, J..,Clothiaux, E. E..,Ackerman, A. S..,Fridlind, A. M..,...&Avramov, A..(2018).On the Forward Modelling of Radar Dopppler Spectrum Width From LES: Implications for Model Evalution.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(14),7444-7461.
MLA Chen, Y-S,et al."On the Forward Modelling of Radar Dopppler Spectrum Width From LES: Implications for Model Evalution".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.14(2018):7444-7461.
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