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Title: On the Forward Modeling of Radar Doppler Spectrum Width From LES: Implications for Model Evaluation

Abstract

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 ismore » 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.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [5]; ORCiD logo [1];  [6]; ORCiD logo [7]
  1. Pennsylvania State Univ., University Park, PA (United States). Dept of Meteorology and Atmospheric Science
  2. NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
  3. Univ. of California, Los Angeles, CA (United States). Dept. of Atmospheric and Oceanic Sciences
  4. Stony Brook Univ., NY (United States). School of Marine and Atmospheric Sciences; Brookhaven National Lab. (BNL), Upton, NY (United States). Environmental and Climate Sciences Department
  5. Univ. of Sydney, NSW (Australia). School of Aerospace, Mechanical and Mechatronic Engineering
  6. Pennsylvania State Univ., University Park, PA (United States). Dept of Meteorology and Atmospheric Science; Compagnie Générale de Géophysique, Houston, TX (United States)
  7. NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States); Emory Univ., Atlanta, GA (United States). Dept. of Environmental Sciences
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1480969
Alternate Identifier(s):
OSTI ID: 1460608
Report Number(s):
BNL-209337-2018-JAAM
Journal ID: ISSN 2169-897X
Grant/Contract Number:  
SC0012704; AC02-05CH11231; FG02-05ER64058; SC0013953
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
Journal Volume: 123; Journal Issue: 14; Journal ID: ISSN 2169-897X
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

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., and Avramov, A. On the Forward Modeling of Radar Doppler Spectrum Width From LES: Implications for Model Evaluation. United States: N. p., 2018. Web. doi:10.1029/2017JD028104.
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. On the Forward Modeling of Radar Doppler Spectrum Width From LES: Implications for Model Evaluation. United States. doi:10.1029/2017JD028104.
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., and Avramov, A. Wed . "On the Forward Modeling of Radar Doppler Spectrum Width From LES: Implications for Model Evaluation". United States. doi:10.1029/2017JD028104. https://www.osti.gov/servlets/purl/1480969.
@article{osti_1480969,
title = {On the Forward Modeling of Radar Doppler Spectrum Width From LES: Implications for Model Evaluation},
author = {Chen, Y. -S. and Verlinde, J. and Clothiaux, E. E. and Ackerman, A. S. and Fridlind, A. M. and Chamecki, M. and Kollias, P. and Kirkpatrick, M. P. and Chen, B. -C. and Yu, G. and Avramov, A.},
abstractNote = {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.},
doi = {10.1029/2017JD028104},
journal = {Journal of Geophysical Research: Atmospheres},
number = 14,
volume = 123,
place = {United States},
year = {2018},
month = {6}
}

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