Evaluation of Triple‐Frequency Radar Retrieval of Snowfall Properties Using Coincident Airborne In Situ Observations During OLYMPEX
Scattering models of precipitation‐size ice particles have shown that aggregates and spheroidal particles occupy distinct regions of the Ku‐Ka‐W‐band dual‐frequency ratio (DFR) plane. Furthermore, past ground‐based observations suggest that particle bulk density and characteristic size can be retrie...
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creator | Chase, Randy J. Finlon, Joseph A. Borque, Paloma McFarquhar, Greg M. Nesbitt, Stephen W. Tanelli, Simone Sy, Ousmane O. Durden, Stephen L. Poellot, Michael R. |
description | Scattering models of precipitation‐size ice particles have shown that aggregates and spheroidal particles occupy distinct regions of the Ku‐Ka‐W‐band dual‐frequency ratio (DFR) plane. Furthermore, past ground‐based observations suggest that particle bulk density and characteristic size can be retrieved from the DFR plane. This study, for the first time, evaluates airborne DFR observations with coincident airborne microphysical measurements. Over 2 hr of microphysical data collected aboard the University of North Dakota Citation from the Olympic Mountains Experiment are matched with Airborne Precipitation and cloud Radar Third Generation triple‐frequency radar observations. Across all flights, 31% (63%) of collocated data points show nonspheroidal (spheroidal) particle scattering characteristics. DFR observations compared with in situ observations of effective density and particle characteristic size reveal relationships that could potentially be used to develop quantitative dual‐ and triple‐frequency DFR ice property retrievals.
Plain Language Summary
Currently, remote sensing retrievals of ice clouds require assumptions since particle shape and size vary greatly in the atmosphere. Additionally, particle shape and size constrain relationships of mass and fall velocity of ice within a cloud, which affect remote sensing retrievals. Modeling studies have shown that the scattering characteristics of complex ice particles (e.g., aggregates) have a distinct signature compared to spherical representations of the same particles when using three frequencies under the following conditions: (1) at least one radar with its wavelength close to the size of the particle and (2) particles have low effective densities. Thus, there is potential to retrieve information about particle shape using triple‐frequency radar observations to constrain the assumptions of particle shape in the ice cloud retrieval. This paper is the first study to use airborne triple‐frequency radar observations coincident with airborne in situ microphysical measurements to evaluate both the scattering signal discussed and retrievals of characteristic size and effective density. We found that 31% (63%) of the observations from the Olympic Mountains Experiment show nonspheroidal (spheroidal) scattering characteristics. Furthermore, the triple‐frequency observations confirm the relationships with observed particle size and effective density outlined in a previous study supporting future use of triple‐fre |
doi_str_mv | 10.1029/2018GL077997 |
format | Article |
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Plain Language Summary
Currently, remote sensing retrievals of ice clouds require assumptions since particle shape and size vary greatly in the atmosphere. Additionally, particle shape and size constrain relationships of mass and fall velocity of ice within a cloud, which affect remote sensing retrievals. Modeling studies have shown that the scattering characteristics of complex ice particles (e.g., aggregates) have a distinct signature compared to spherical representations of the same particles when using three frequencies under the following conditions: (1) at least one radar with its wavelength close to the size of the particle and (2) particles have low effective densities. Thus, there is potential to retrieve information about particle shape using triple‐frequency radar observations to constrain the assumptions of particle shape in the ice cloud retrieval. This paper is the first study to use airborne triple‐frequency radar observations coincident with airborne in situ microphysical measurements to evaluate both the scattering signal discussed and retrievals of characteristic size and effective density. We found that 31% (63%) of the observations from the Olympic Mountains Experiment show nonspheroidal (spheroidal) scattering characteristics. Furthermore, the triple‐frequency observations confirm the relationships with observed particle size and effective density outlined in a previous study supporting future use of triple‐frequency missions.
Key Points
First airborne evaluation of snowfall property retrievals using triple‐frequency radar and microphysical measurements
A limited fraction of coincident points show nonspheroidal scattering behavior, challenging the value of differentiating particle type
Bulk statistics of effective density and characteristic size support the retrieval hypotheses in previous literature</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2018GL077997</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Aggregates ; Airborne radar ; Airborne remote sensing ; Airborne sensing ; Atmospheric models ; Bulk density ; Data points ; Density ; Evaluation ; Ground-based observation ; Ice ; Ice clouds ; Ice particles ; Ice properties ; Information retrieval ; Missions ; Modelling ; Mountains ; OLYMPEX ; Particle scattering ; Particle shape ; Precipitation ; Radar ; Radar observation ; Remote sensing ; Scattering ; Shape ; snowfall microphysics ; triple‐frequency radar ; Wavelength</subject><ispartof>Geophysical research letters, 2018-06, Vol.45 (11), p.5752-5760</ispartof><rights>2018. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4100-f60590d4c4389af33fedb8b745263be735f523b5b552af8c65fb1212f09cbe8f3</citedby><cites>FETCH-LOGICAL-c4100-f60590d4c4389af33fedb8b745263be735f523b5b552af8c65fb1212f09cbe8f3</cites><orcidid>0000-0002-2606-7612 ; 0000-0003-4304-4698</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2018GL077997$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2018GL077997$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,1428,11495,27905,27906,45555,45556,46390,46449,46814,46873</link.rule.ids></links><search><creatorcontrib>Chase, Randy J.</creatorcontrib><creatorcontrib>Finlon, Joseph A.</creatorcontrib><creatorcontrib>Borque, Paloma</creatorcontrib><creatorcontrib>McFarquhar, Greg M.</creatorcontrib><creatorcontrib>Nesbitt, Stephen W.</creatorcontrib><creatorcontrib>Tanelli, Simone</creatorcontrib><creatorcontrib>Sy, Ousmane O.</creatorcontrib><creatorcontrib>Durden, Stephen L.</creatorcontrib><creatorcontrib>Poellot, Michael R.</creatorcontrib><title>Evaluation of Triple‐Frequency Radar Retrieval of Snowfall Properties Using Coincident Airborne In Situ Observations During OLYMPEX</title><title>Geophysical research letters</title><description>Scattering models of precipitation‐size ice particles have shown that aggregates and spheroidal particles occupy distinct regions of the Ku‐Ka‐W‐band dual‐frequency ratio (DFR) plane. Furthermore, past ground‐based observations suggest that particle bulk density and characteristic size can be retrieved from the DFR plane. This study, for the first time, evaluates airborne DFR observations with coincident airborne microphysical measurements. Over 2 hr of microphysical data collected aboard the University of North Dakota Citation from the Olympic Mountains Experiment are matched with Airborne Precipitation and cloud Radar Third Generation triple‐frequency radar observations. Across all flights, 31% (63%) of collocated data points show nonspheroidal (spheroidal) particle scattering characteristics. DFR observations compared with in situ observations of effective density and particle characteristic size reveal relationships that could potentially be used to develop quantitative dual‐ and triple‐frequency DFR ice property retrievals.
Plain Language Summary
Currently, remote sensing retrievals of ice clouds require assumptions since particle shape and size vary greatly in the atmosphere. Additionally, particle shape and size constrain relationships of mass and fall velocity of ice within a cloud, which affect remote sensing retrievals. Modeling studies have shown that the scattering characteristics of complex ice particles (e.g., aggregates) have a distinct signature compared to spherical representations of the same particles when using three frequencies under the following conditions: (1) at least one radar with its wavelength close to the size of the particle and (2) particles have low effective densities. Thus, there is potential to retrieve information about particle shape using triple‐frequency radar observations to constrain the assumptions of particle shape in the ice cloud retrieval. This paper is the first study to use airborne triple‐frequency radar observations coincident with airborne in situ microphysical measurements to evaluate both the scattering signal discussed and retrievals of characteristic size and effective density. We found that 31% (63%) of the observations from the Olympic Mountains Experiment show nonspheroidal (spheroidal) scattering characteristics. Furthermore, the triple‐frequency observations confirm the relationships with observed particle size and effective density outlined in a previous study supporting future use of triple‐frequency missions.
Key Points
First airborne evaluation of snowfall property retrievals using triple‐frequency radar and microphysical measurements
A limited fraction of coincident points show nonspheroidal scattering behavior, challenging the value of differentiating particle type
Bulk statistics of effective density and characteristic size support the retrieval hypotheses in previous literature</description><subject>Aggregates</subject><subject>Airborne radar</subject><subject>Airborne remote sensing</subject><subject>Airborne sensing</subject><subject>Atmospheric models</subject><subject>Bulk density</subject><subject>Data points</subject><subject>Density</subject><subject>Evaluation</subject><subject>Ground-based observation</subject><subject>Ice</subject><subject>Ice clouds</subject><subject>Ice particles</subject><subject>Ice properties</subject><subject>Information retrieval</subject><subject>Missions</subject><subject>Modelling</subject><subject>Mountains</subject><subject>OLYMPEX</subject><subject>Particle scattering</subject><subject>Particle shape</subject><subject>Precipitation</subject><subject>Radar</subject><subject>Radar observation</subject><subject>Remote sensing</subject><subject>Scattering</subject><subject>Shape</subject><subject>snowfall microphysics</subject><subject>triple‐frequency radar</subject><subject>Wavelength</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp90L9OwzAQBnALgUQpbDyAJVYKZztukrEqbakUVNQ_EkxRnNrIVbCLnbTqxsLOM_IkuJSBielu-Ok73YfQJYEbAjS9pUCSUQZxnKbxEWqRNIo6CUB8jFoAadhp3D1FZ96vAIABIy30MdgUVVPU2hpsFZ47va7k1_vn0Mm3Rppyh6fFsnB4KmunZbB7NTN2q4qqwo_OrqWrtfR44bV5wX2rTamX0tS4p52wzkg8Nnim6wZPhJdu83PK47vG7f0ke354HDydo5OQ5-XF72yjxXAw7993sslo3O9lnTIiAB3VBZ7CMiojlqSFYkzJpUhEHHHaZULGjCtOmeCCc1qopOxyJQglVEFaCpko1kZXh9y1s-E9X-cr2zgTTuY0RBMaGuNBXR9U6az3Tqp87fRr4XY5gXxfdP636MDpgW91JXf_2nw0zXjMKbBvGIyA_g</recordid><startdate>20180616</startdate><enddate>20180616</enddate><creator>Chase, Randy J.</creator><creator>Finlon, Joseph A.</creator><creator>Borque, Paloma</creator><creator>McFarquhar, Greg M.</creator><creator>Nesbitt, Stephen W.</creator><creator>Tanelli, Simone</creator><creator>Sy, Ousmane O.</creator><creator>Durden, Stephen L.</creator><creator>Poellot, Michael R.</creator><general>John Wiley & Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-2606-7612</orcidid><orcidid>https://orcid.org/0000-0003-4304-4698</orcidid></search><sort><creationdate>20180616</creationdate><title>Evaluation of Triple‐Frequency Radar Retrieval of Snowfall Properties Using Coincident Airborne In Situ Observations During OLYMPEX</title><author>Chase, Randy J. ; Finlon, Joseph A. ; Borque, Paloma ; McFarquhar, Greg M. ; Nesbitt, Stephen W. ; Tanelli, Simone ; Sy, Ousmane O. ; Durden, Stephen L. ; Poellot, Michael R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4100-f60590d4c4389af33fedb8b745263be735f523b5b552af8c65fb1212f09cbe8f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aggregates</topic><topic>Airborne radar</topic><topic>Airborne remote sensing</topic><topic>Airborne sensing</topic><topic>Atmospheric models</topic><topic>Bulk density</topic><topic>Data points</topic><topic>Density</topic><topic>Evaluation</topic><topic>Ground-based observation</topic><topic>Ice</topic><topic>Ice clouds</topic><topic>Ice particles</topic><topic>Ice properties</topic><topic>Information retrieval</topic><topic>Missions</topic><topic>Modelling</topic><topic>Mountains</topic><topic>OLYMPEX</topic><topic>Particle scattering</topic><topic>Particle shape</topic><topic>Precipitation</topic><topic>Radar</topic><topic>Radar observation</topic><topic>Remote sensing</topic><topic>Scattering</topic><topic>Shape</topic><topic>snowfall microphysics</topic><topic>triple‐frequency radar</topic><topic>Wavelength</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chase, Randy J.</creatorcontrib><creatorcontrib>Finlon, Joseph A.</creatorcontrib><creatorcontrib>Borque, Paloma</creatorcontrib><creatorcontrib>McFarquhar, Greg M.</creatorcontrib><creatorcontrib>Nesbitt, Stephen W.</creatorcontrib><creatorcontrib>Tanelli, Simone</creatorcontrib><creatorcontrib>Sy, Ousmane O.</creatorcontrib><creatorcontrib>Durden, Stephen L.</creatorcontrib><creatorcontrib>Poellot, Michael R.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chase, Randy J.</au><au>Finlon, Joseph A.</au><au>Borque, Paloma</au><au>McFarquhar, Greg M.</au><au>Nesbitt, Stephen W.</au><au>Tanelli, Simone</au><au>Sy, Ousmane O.</au><au>Durden, Stephen L.</au><au>Poellot, Michael R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of Triple‐Frequency Radar Retrieval of Snowfall Properties Using Coincident Airborne In Situ Observations During OLYMPEX</atitle><jtitle>Geophysical research letters</jtitle><date>2018-06-16</date><risdate>2018</risdate><volume>45</volume><issue>11</issue><spage>5752</spage><epage>5760</epage><pages>5752-5760</pages><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>Scattering models of precipitation‐size ice particles have shown that aggregates and spheroidal particles occupy distinct regions of the Ku‐Ka‐W‐band dual‐frequency ratio (DFR) plane. Furthermore, past ground‐based observations suggest that particle bulk density and characteristic size can be retrieved from the DFR plane. This study, for the first time, evaluates airborne DFR observations with coincident airborne microphysical measurements. Over 2 hr of microphysical data collected aboard the University of North Dakota Citation from the Olympic Mountains Experiment are matched with Airborne Precipitation and cloud Radar Third Generation triple‐frequency radar observations. Across all flights, 31% (63%) of collocated data points show nonspheroidal (spheroidal) particle scattering characteristics. DFR observations compared with in situ observations of effective density and particle characteristic size reveal relationships that could potentially be used to develop quantitative dual‐ and triple‐frequency DFR ice property retrievals.
Plain Language Summary
Currently, remote sensing retrievals of ice clouds require assumptions since particle shape and size vary greatly in the atmosphere. Additionally, particle shape and size constrain relationships of mass and fall velocity of ice within a cloud, which affect remote sensing retrievals. Modeling studies have shown that the scattering characteristics of complex ice particles (e.g., aggregates) have a distinct signature compared to spherical representations of the same particles when using three frequencies under the following conditions: (1) at least one radar with its wavelength close to the size of the particle and (2) particles have low effective densities. Thus, there is potential to retrieve information about particle shape using triple‐frequency radar observations to constrain the assumptions of particle shape in the ice cloud retrieval. This paper is the first study to use airborne triple‐frequency radar observations coincident with airborne in situ microphysical measurements to evaluate both the scattering signal discussed and retrievals of characteristic size and effective density. We found that 31% (63%) of the observations from the Olympic Mountains Experiment show nonspheroidal (spheroidal) scattering characteristics. Furthermore, the triple‐frequency observations confirm the relationships with observed particle size and effective density outlined in a previous study supporting future use of triple‐frequency missions.
Key Points
First airborne evaluation of snowfall property retrievals using triple‐frequency radar and microphysical measurements
A limited fraction of coincident points show nonspheroidal scattering behavior, challenging the value of differentiating particle type
Bulk statistics of effective density and characteristic size support the retrieval hypotheses in previous literature</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2018GL077997</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-2606-7612</orcidid><orcidid>https://orcid.org/0000-0003-4304-4698</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aggregates Airborne radar Airborne remote sensing Airborne sensing Atmospheric models Bulk density Data points Density Evaluation Ground-based observation Ice Ice clouds Ice particles Ice properties Information retrieval Missions Modelling Mountains OLYMPEX Particle scattering Particle shape Precipitation Radar Radar observation Remote sensing Scattering Shape snowfall microphysics triple‐frequency radar Wavelength |
title | Evaluation of Triple‐Frequency Radar Retrieval of Snowfall Properties Using Coincident Airborne In Situ Observations During OLYMPEX |
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