Numerical simulations and Arctic observations of surface wind effects on Multi-Angle Snowflake Camera measurements
Ground-based measurements of frozen precipitation are heavily influenced by interactions of surface winds with gauge-shield geometry. The Multi-Angle Snowflake Camera (MASC), which photographs hydrometeors in free-fall from three different angles while simultaneously measuring their fall speed, has...
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description | Ground-based measurements of frozen precipitation are heavily influenced by interactions of surface winds with gauge-shield geometry. The Multi-Angle Snowflake Camera (MASC), which photographs hydrometeors in free-fall from three different angles while simultaneously measuring their fall speed, has been used in the field at multiple mid-latitude and polar locations both with and without wind shielding. Here we show results of computational fluid dynamics (CFD) simulations of the airflow and corresponding particle trajectories around the unshielded MASC and compare these results to Arctic field observations with and without a Belfort double Alter shield. Simulations in the absence of a wind shield show a separation of flow at the upstream side of the instrument, with an upward velocity component just above the aperture, which decreases the mean particle fall speed by 55%(74%) for a wind speed of 5 m/s(10 m/s). MASC-measured fall speeds compare well with Ka-band Atmospheric Radiation Measurement (ARM) Zenith Radar (KAZR) mean Doppler velocities only when winds are light ( |
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The Multi-Angle Snowflake Camera (MASC), which photographs hydrometeors in free-fall from three different angles while simultaneously measuring their fall speed, has been used in the field at multiple mid-latitude and polar locations both with and without wind shielding. Here we show results of computational fluid dynamics (CFD) simulations of the airflow and corresponding particle trajectories around the unshielded MASC and compare these results to Arctic field observations with and without a Belfort double Alter shield. Simulations in the absence of a wind shield show a separation of flow at the upstream side of the instrument, with an upward velocity component just above the aperture, which decreases the mean particle fall speed by 55%(74%) for a wind speed of 5 m/s(10 m/s). MASC-measured fall speeds compare well with Ka-band Atmospheric Radiation Measurement (ARM) Zenith Radar (KAZR) mean Doppler velocities only when winds are light (<5 m/s) and the MASC is shielded. MASC-measured fall speeds that do not match KAZR measured velocities tend to fall below a threshold value that increases approximately linearly with wind speed but is generally <0.5 m/s. For those events with wind speeds <1.5 m/s, hydrometeors fall with an orientation angle mode of 12 degrees from the horizontal plane, and large, low-density aggregates are as much as five times more likely to be observed. We conclude that accurate MASC observations of the microphysical, orientation, and fall speed characteristics of snow particles require shielding by a double wind fence and restriction of analysis to events where winds are light (<5 m/s). Hydrometeors do not generally fall in still air, so adjustments to these properties' distributions within natural turbulence remain to be determined.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Aerodynamics ; Air flow ; Angles (geometry) ; Apertures ; Atmospheric radiation ; Cameras ; Computational fluid dynamics ; Computer simulation ; Fluid flow ; Hydrometeors ; Particle trajectories ; Radiation measurement ; Radiation shielding ; Simulation ; Snowflakes ; Surface wind ; Velocity ; Wind ; Wind effects ; Wind speed ; Windshields</subject><ispartof>arXiv.org, 2020-07</ispartof><rights>2020. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). 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The Multi-Angle Snowflake Camera (MASC), which photographs hydrometeors in free-fall from three different angles while simultaneously measuring their fall speed, has been used in the field at multiple mid-latitude and polar locations both with and without wind shielding. Here we show results of computational fluid dynamics (CFD) simulations of the airflow and corresponding particle trajectories around the unshielded MASC and compare these results to Arctic field observations with and without a Belfort double Alter shield. Simulations in the absence of a wind shield show a separation of flow at the upstream side of the instrument, with an upward velocity component just above the aperture, which decreases the mean particle fall speed by 55%(74%) for a wind speed of 5 m/s(10 m/s). MASC-measured fall speeds compare well with Ka-band Atmospheric Radiation Measurement (ARM) Zenith Radar (KAZR) mean Doppler velocities only when winds are light (<5 m/s) and the MASC is shielded. MASC-measured fall speeds that do not match KAZR measured velocities tend to fall below a threshold value that increases approximately linearly with wind speed but is generally <0.5 m/s. For those events with wind speeds <1.5 m/s, hydrometeors fall with an orientation angle mode of 12 degrees from the horizontal plane, and large, low-density aggregates are as much as five times more likely to be observed. We conclude that accurate MASC observations of the microphysical, orientation, and fall speed characteristics of snow particles require shielding by a double wind fence and restriction of analysis to events where winds are light (<5 m/s). Hydrometeors do not generally fall in still air, so adjustments to these properties' distributions within natural turbulence remain to be determined.</description><subject>Aerodynamics</subject><subject>Air flow</subject><subject>Angles (geometry)</subject><subject>Apertures</subject><subject>Atmospheric radiation</subject><subject>Cameras</subject><subject>Computational fluid dynamics</subject><subject>Computer simulation</subject><subject>Fluid flow</subject><subject>Hydrometeors</subject><subject>Particle trajectories</subject><subject>Radiation measurement</subject><subject>Radiation shielding</subject><subject>Simulation</subject><subject>Snowflakes</subject><subject>Surface wind</subject><subject>Velocity</subject><subject>Wind</subject><subject>Wind effects</subject><subject>Wind speed</subject><subject>Windshields</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqNjMEOATEURRuJhOAfXmI9yWhnsBUhNmzYy1OvUjotfS2_rwsfYHWTc8-9PTGUSs2qZSPlQEyY73Vdy_lCtq0ainjIHUWr0QHbLjtMNngG9FdYRZ2shnBhiu8fDwY4R4Oa4GOLQ8aQToV72GeXbLXyN0dw9OFjHD4I1ljuETrCsqOOfOKx6Bt0TJNfjsR0uzmtd9UzhlcmTud7yNGX6iwbOa9naiEb9Z_1BepDTC0</recordid><startdate>20200721</startdate><enddate>20200721</enddate><creator>Fitch, Kyle E</creator><creator>Chaoxun Hang</creator><creator>Talaei, Ahmad</creator><creator>Garrett, Timothy J</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20200721</creationdate><title>Numerical simulations and Arctic observations of surface wind effects on Multi-Angle Snowflake Camera measurements</title><author>Fitch, Kyle E ; Chaoxun Hang ; Talaei, Ahmad ; Garrett, Timothy J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_24260137243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aerodynamics</topic><topic>Air flow</topic><topic>Angles (geometry)</topic><topic>Apertures</topic><topic>Atmospheric radiation</topic><topic>Cameras</topic><topic>Computational fluid dynamics</topic><topic>Computer simulation</topic><topic>Fluid flow</topic><topic>Hydrometeors</topic><topic>Particle trajectories</topic><topic>Radiation measurement</topic><topic>Radiation shielding</topic><topic>Simulation</topic><topic>Snowflakes</topic><topic>Surface wind</topic><topic>Velocity</topic><topic>Wind</topic><topic>Wind effects</topic><topic>Wind speed</topic><topic>Windshields</topic><toplevel>online_resources</toplevel><creatorcontrib>Fitch, Kyle E</creatorcontrib><creatorcontrib>Chaoxun Hang</creatorcontrib><creatorcontrib>Talaei, Ahmad</creatorcontrib><creatorcontrib>Garrett, Timothy J</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fitch, Kyle E</au><au>Chaoxun Hang</au><au>Talaei, Ahmad</au><au>Garrett, Timothy J</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Numerical simulations and Arctic observations of surface wind effects on Multi-Angle Snowflake Camera measurements</atitle><jtitle>arXiv.org</jtitle><date>2020-07-21</date><risdate>2020</risdate><eissn>2331-8422</eissn><abstract>Ground-based measurements of frozen precipitation are heavily influenced by interactions of surface winds with gauge-shield geometry. The Multi-Angle Snowflake Camera (MASC), which photographs hydrometeors in free-fall from three different angles while simultaneously measuring their fall speed, has been used in the field at multiple mid-latitude and polar locations both with and without wind shielding. Here we show results of computational fluid dynamics (CFD) simulations of the airflow and corresponding particle trajectories around the unshielded MASC and compare these results to Arctic field observations with and without a Belfort double Alter shield. Simulations in the absence of a wind shield show a separation of flow at the upstream side of the instrument, with an upward velocity component just above the aperture, which decreases the mean particle fall speed by 55%(74%) for a wind speed of 5 m/s(10 m/s). MASC-measured fall speeds compare well with Ka-band Atmospheric Radiation Measurement (ARM) Zenith Radar (KAZR) mean Doppler velocities only when winds are light (<5 m/s) and the MASC is shielded. MASC-measured fall speeds that do not match KAZR measured velocities tend to fall below a threshold value that increases approximately linearly with wind speed but is generally <0.5 m/s. For those events with wind speeds <1.5 m/s, hydrometeors fall with an orientation angle mode of 12 degrees from the horizontal plane, and large, low-density aggregates are as much as five times more likely to be observed. We conclude that accurate MASC observations of the microphysical, orientation, and fall speed characteristics of snow particles require shielding by a double wind fence and restriction of analysis to events where winds are light (<5 m/s). Hydrometeors do not generally fall in still air, so adjustments to these properties' distributions within natural turbulence remain to be determined.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record> |
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subjects | Aerodynamics Air flow Angles (geometry) Apertures Atmospheric radiation Cameras Computational fluid dynamics Computer simulation Fluid flow Hydrometeors Particle trajectories Radiation measurement Radiation shielding Simulation Snowflakes Surface wind Velocity Wind Wind effects Wind speed Windshields |
title | Numerical simulations and Arctic observations of surface wind effects on Multi-Angle Snowflake Camera measurements |
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