A Probabilistic Radar Forward Model for Branched Planar Ice Crystals
Polarimetric radar measurements provide information about ice particle growth and offer the potential to evaluate and better constrain ice microphysical models. To achieve these goals, one must map the ice particle physical properties (e.g., those predicted by a microphysical model) to electromagnet...
Published in: | Journal of Applied Meteorology and Climatology |
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ftosti:oai:osti.gov:1612049 2023-07-30T04:01:50+02:00 A Probabilistic Radar Forward Model for Branched Planar Ice Crystals Schrom, Robert S. Kumjian, Matthew R. 2022-03-11 application/pdf http://www.osti.gov/servlets/purl/1612049 https://www.osti.gov/biblio/1612049 https://doi.org/10.1175/jamc-d-18-0204.1 unknown http://www.osti.gov/servlets/purl/1612049 https://www.osti.gov/biblio/1612049 https://doi.org/10.1175/jamc-d-18-0204.1 doi:10.1175/jamc-d-18-0204.1 37 INORGANIC ORGANIC PHYSICAL AND ANALYTICAL CHEMISTRY 47 OTHER INSTRUMENTATION 54 ENVIRONMENTAL SCIENCES 2022 ftosti https://doi.org/10.1175/jamc-d-18-0204.1 2023-07-11T09:41:19Z Polarimetric radar measurements provide information about ice particle growth and offer the potential to evaluate and better constrain ice microphysical models. To achieve these goals, one must map the ice particle physical properties (e.g., those predicted by a microphysical model) to electromagnetic scattering properties using a radar forward model. Simplified methods of calculating these scattering properties using homogeneous, reduced-density spheroids produce large errors in the polarimetric radar measurements, particularly for low-aspect-ratio branched planar crystals. To overcome these errors, an empirical method is introduced to more faithfully represent branched planar crystal scattering using scattering calculations for a large number of detailed shapes. Additionally, estimates of the uncertainty in the scattering properties, owing to ambiguity in the crystal shape given a set of bulk physical properties, are also incorporated in the forward model. To demonstrate the utility of the forward model developed herein, the radar variables are simulated from microphysical model output for an Arctic cloud case. Finally, the simulated radar variables from the empirical forward model are more consistent with the observations compared to those from the homogeneous, reduced-density-spheroid model, and have relatively low uncertainty. Other/Unknown Material Arctic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Journal of Applied Meteorology and Climatology 58 6 1245 1265 |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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37 INORGANIC ORGANIC PHYSICAL AND ANALYTICAL CHEMISTRY 47 OTHER INSTRUMENTATION 54 ENVIRONMENTAL SCIENCES |
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37 INORGANIC ORGANIC PHYSICAL AND ANALYTICAL CHEMISTRY 47 OTHER INSTRUMENTATION 54 ENVIRONMENTAL SCIENCES Schrom, Robert S. Kumjian, Matthew R. A Probabilistic Radar Forward Model for Branched Planar Ice Crystals |
topic_facet |
37 INORGANIC ORGANIC PHYSICAL AND ANALYTICAL CHEMISTRY 47 OTHER INSTRUMENTATION 54 ENVIRONMENTAL SCIENCES |
description |
Polarimetric radar measurements provide information about ice particle growth and offer the potential to evaluate and better constrain ice microphysical models. To achieve these goals, one must map the ice particle physical properties (e.g., those predicted by a microphysical model) to electromagnetic scattering properties using a radar forward model. Simplified methods of calculating these scattering properties using homogeneous, reduced-density spheroids produce large errors in the polarimetric radar measurements, particularly for low-aspect-ratio branched planar crystals. To overcome these errors, an empirical method is introduced to more faithfully represent branched planar crystal scattering using scattering calculations for a large number of detailed shapes. Additionally, estimates of the uncertainty in the scattering properties, owing to ambiguity in the crystal shape given a set of bulk physical properties, are also incorporated in the forward model. To demonstrate the utility of the forward model developed herein, the radar variables are simulated from microphysical model output for an Arctic cloud case. Finally, the simulated radar variables from the empirical forward model are more consistent with the observations compared to those from the homogeneous, reduced-density-spheroid model, and have relatively low uncertainty. |
author |
Schrom, Robert S. Kumjian, Matthew R. |
author_facet |
Schrom, Robert S. Kumjian, Matthew R. |
author_sort |
Schrom, Robert S. |
title |
A Probabilistic Radar Forward Model for Branched Planar Ice Crystals |
title_short |
A Probabilistic Radar Forward Model for Branched Planar Ice Crystals |
title_full |
A Probabilistic Radar Forward Model for Branched Planar Ice Crystals |
title_fullStr |
A Probabilistic Radar Forward Model for Branched Planar Ice Crystals |
title_full_unstemmed |
A Probabilistic Radar Forward Model for Branched Planar Ice Crystals |
title_sort |
probabilistic radar forward model for branched planar ice crystals |
publishDate |
2022 |
url |
http://www.osti.gov/servlets/purl/1612049 https://www.osti.gov/biblio/1612049 https://doi.org/10.1175/jamc-d-18-0204.1 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://www.osti.gov/servlets/purl/1612049 https://www.osti.gov/biblio/1612049 https://doi.org/10.1175/jamc-d-18-0204.1 doi:10.1175/jamc-d-18-0204.1 |
op_doi |
https://doi.org/10.1175/jamc-d-18-0204.1 |
container_title |
Journal of Applied Meteorology and Climatology |
container_volume |
58 |
container_issue |
6 |
container_start_page |
1245 |
op_container_end_page |
1265 |
_version_ |
1772812579873226752 |