On the forward modeling of radar Doppler spectrum width from LES: Implications for model evaluation
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 sp...
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Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6242292/ http://www.ncbi.nlm.nih.gov/pubmed/30467530 https://doi.org/10.1029/2017JD028104 |
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ftpubmed:oai:pubmedcentral.nih.gov:6242292 2023-05-15T15:11:17+02:00 On the forward modeling of radar Doppler spectrum width from LES: Implications for model evaluation 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. 2018-06-20 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6242292/ http://www.ncbi.nlm.nih.gov/pubmed/30467530 https://doi.org/10.1029/2017JD028104 en eng http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6242292/ http://www.ncbi.nlm.nih.gov/pubmed/30467530 http://dx.doi.org/10.1029/2017JD028104 Article Text 2018 ftpubmed https://doi.org/10.1029/2017JD028104 2019-08-04T00:19:04Z 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 spectra 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. Text Arctic PubMed Central (PMC) Arctic Journal of Geophysical Research: Atmospheres 123 14 7444 7461 |
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Article 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 |
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Article |
description |
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 spectra 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. |
format |
Text |
author |
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. |
author_facet |
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. |
author_sort |
Chen, Y.-S. |
title |
On the forward modeling of radar Doppler spectrum width from LES: Implications for model evaluation |
title_short |
On the forward modeling of radar Doppler spectrum width from LES: Implications for model evaluation |
title_full |
On the forward modeling of radar Doppler spectrum width from LES: Implications for model evaluation |
title_fullStr |
On the forward modeling of radar Doppler spectrum width from LES: Implications for model evaluation |
title_full_unstemmed |
On the forward modeling of radar Doppler spectrum width from LES: Implications for model evaluation |
title_sort |
on the forward modeling of radar doppler spectrum width from les: implications for model evaluation |
publishDate |
2018 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6242292/ http://www.ncbi.nlm.nih.gov/pubmed/30467530 https://doi.org/10.1029/2017JD028104 |
geographic |
Arctic |
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Arctic |
genre |
Arctic |
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Arctic |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6242292/ http://www.ncbi.nlm.nih.gov/pubmed/30467530 http://dx.doi.org/10.1029/2017JD028104 |
op_doi |
https://doi.org/10.1029/2017JD028104 |
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Journal of Geophysical Research: Atmospheres |
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123 |
container_issue |
14 |
container_start_page |
7444 |
op_container_end_page |
7461 |
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1766342170622558208 |