Wind Tunnel Validation of a Particle Tracking Model to Evaluate the Wind‐Induced Bias of Precipitation Measurements
A physical full‐scale experimental set‐up was designed and implemented in the wind tunnel to reproduce and capture the trajectories of falling water drops when approaching the collector of catching type precipitation gauges, reproducing rainfall measurements in windy conditions. The experiment allow...
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description | A physical full‐scale experimental set‐up was designed and implemented in the wind tunnel to reproduce and capture the trajectories of falling water drops when approaching the collector of catching type precipitation gauges, reproducing rainfall measurements in windy conditions. The experiment allowed to collect, for the first time, a large data set of high‐resolution footages of the deviation of such trajectories, as induced by the bluff‐body aerodynamics of the outer gauge shape. By processing the collected images, a consistent quantitative interpretation of each drop pattern was possible, based on a detailed Computational Fluid Dynamics simulation of the airflow updraft and acceleration features above the collector of the gauge. Numerical airflow simulations were extensively validated in the wind tunnel, using local flow measurements and Particle Image Velocimetry. Capturing the deviation of the drop trajectories in the wind tunnel allowed a clear visualization of the physical reason for the wind‐induced undercatch of precipitation gauges, since drops were individually observed to fall outside instead of inside of the collector, contrary to what would be expected by extrapolating their undisturbed trajectory. The adopted Lagrangian Particle Tracking model and the formulation used for the drag coefficient were suitable to closely reproduce the observed drop trajectories when affected by the airflow deformation due to the bluff‐body aerodynamics of two investigated gauge geometries. The wind tunnel experiment provided the basis for the validation of the particle tracking model in terms of the difference between simulated and observed trajectories, after initial conditions were suitably set to represent the experimental setup.
Key Points
Water drops are released in a wind tunnel to mimic rainfall and tracked to observe the wind‐induced measurement bias of raingauges
Numerical simulation of the airflow field and a lagrangian particle tracking model are applied to reproduce the drop trajectories
Wind tunnel tests validate airflow simulation and particle tracking results supporting their application in studying the wind‐induced bias |
doi_str_mv | 10.1029/2020WR028766 |
format | Article |
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Key Points
Water drops are released in a wind tunnel to mimic rainfall and tracked to observe the wind‐induced measurement bias of raingauges
Numerical simulation of the airflow field and a lagrangian particle tracking model are applied to reproduce the drop trajectories
Wind tunnel tests validate airflow simulation and particle tracking results supporting their application in studying the wind‐induced bias</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2020WR028766</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Aerodynamics ; Air flow ; Atmospheric precipitations ; Cliffs ; Computational fluid dynamics ; Computer applications ; Deformation ; Deviation ; Drag coefficient ; Drag coefficients ; Flow measurement ; Fluid dynamics ; Gauges ; Hydrodynamics ; Initial conditions ; Local flow ; Particle image velocimetry ; Particle tracking ; Precipitation ; Precipitation gauges ; precipitation measurement ; Precipitation measurements ; Rain ; Rainfall ; Rainfall measurement ; Simulation ; Updraft ; Water droplets ; Water drops ; Wind tunnel testing ; wind tunnel validation ; Wind tunnels ; wind‐induced bias</subject><ispartof>Water resources research, 2021-07, Vol.57 (7), p.n/a</ispartof><rights>2021. The Authors.</rights><rights>2021. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3684-e27b79266b837904e79c7756ffaa67ef585f0494b4353b87f56317876d60da323</citedby><cites>FETCH-LOGICAL-a3684-e27b79266b837904e79c7756ffaa67ef585f0494b4353b87f56317876d60da323</cites><orcidid>0000-0002-4661-7677 ; 0000-0002-5874-0357 ; 0000-0002-7931-172X</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%2F2020WR028766$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2020WR028766$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,11494,27903,27904,45553,45554,46446,46870</link.rule.ids></links><search><creatorcontrib>Cauteruccio, A.</creatorcontrib><creatorcontrib>Brambilla, E.</creatorcontrib><creatorcontrib>Stagnaro, M.</creatorcontrib><creatorcontrib>Lanza, L. G.</creatorcontrib><creatorcontrib>Rocchi, D.</creatorcontrib><title>Wind Tunnel Validation of a Particle Tracking Model to Evaluate the Wind‐Induced Bias of Precipitation Measurements</title><title>Water resources research</title><description>A physical full‐scale experimental set‐up was designed and implemented in the wind tunnel to reproduce and capture the trajectories of falling water drops when approaching the collector of catching type precipitation gauges, reproducing rainfall measurements in windy conditions. The experiment allowed to collect, for the first time, a large data set of high‐resolution footages of the deviation of such trajectories, as induced by the bluff‐body aerodynamics of the outer gauge shape. By processing the collected images, a consistent quantitative interpretation of each drop pattern was possible, based on a detailed Computational Fluid Dynamics simulation of the airflow updraft and acceleration features above the collector of the gauge. Numerical airflow simulations were extensively validated in the wind tunnel, using local flow measurements and Particle Image Velocimetry. Capturing the deviation of the drop trajectories in the wind tunnel allowed a clear visualization of the physical reason for the wind‐induced undercatch of precipitation gauges, since drops were individually observed to fall outside instead of inside of the collector, contrary to what would be expected by extrapolating their undisturbed trajectory. The adopted Lagrangian Particle Tracking model and the formulation used for the drag coefficient were suitable to closely reproduce the observed drop trajectories when affected by the airflow deformation due to the bluff‐body aerodynamics of two investigated gauge geometries. The wind tunnel experiment provided the basis for the validation of the particle tracking model in terms of the difference between simulated and observed trajectories, after initial conditions were suitably set to represent the experimental setup.
Key Points
Water drops are released in a wind tunnel to mimic rainfall and tracked to observe the wind‐induced measurement bias of raingauges
Numerical simulation of the airflow field and a lagrangian particle tracking model are applied to reproduce the drop trajectories
Wind tunnel tests validate airflow simulation and particle tracking results supporting their application in studying the wind‐induced bias</description><subject>Aerodynamics</subject><subject>Air flow</subject><subject>Atmospheric precipitations</subject><subject>Cliffs</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Deformation</subject><subject>Deviation</subject><subject>Drag coefficient</subject><subject>Drag coefficients</subject><subject>Flow measurement</subject><subject>Fluid dynamics</subject><subject>Gauges</subject><subject>Hydrodynamics</subject><subject>Initial conditions</subject><subject>Local flow</subject><subject>Particle image velocimetry</subject><subject>Particle tracking</subject><subject>Precipitation</subject><subject>Precipitation gauges</subject><subject>precipitation measurement</subject><subject>Precipitation measurements</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Rainfall measurement</subject><subject>Simulation</subject><subject>Updraft</subject><subject>Water droplets</subject><subject>Water drops</subject><subject>Wind tunnel testing</subject><subject>wind tunnel validation</subject><subject>Wind tunnels</subject><subject>wind‐induced bias</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp9kLtOwzAYhS0EEqWw8QCWWAn47niEikulVlRVoWPkJDa4pEmxHVA3HoFn5ElIFQYmlv8sn76j_wBwitEFRkRdEkTQco5IKoXYAwOsGEukknQfDBBiNMFUyUNwFMIKIcy4kAPQLl1dwkVb16aCT7pypY6uqWFjoYYz7aMrKgMXXhevrn6G06bsuNjAm3ddtToaGF8M3Dm-P7_GddkWpoTXToedYOZN4TYu9sap0aH1Zm3qGI7BgdVVMCe_OQSPtzeL0X0yebgbj64miaYiZYkhMpeKCJGnVCrEjFSFlFxYq7WQxvKUW8QUyxnlNE-l5YJi2X1fClRqSugQnPXejW_eWhNitmpaX3eVGeGcU4VVd4fgvKcK34Tgjc023q2132YYZbths7_Ddjjt8Q9Xme2_bLacj-ak62H0B-_8ejU</recordid><startdate>202107</startdate><enddate>202107</enddate><creator>Cauteruccio, A.</creator><creator>Brambilla, E.</creator><creator>Stagnaro, M.</creator><creator>Lanza, L. G.</creator><creator>Rocchi, D.</creator><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7T7</scope><scope>7TG</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0002-4661-7677</orcidid><orcidid>https://orcid.org/0000-0002-5874-0357</orcidid><orcidid>https://orcid.org/0000-0002-7931-172X</orcidid></search><sort><creationdate>202107</creationdate><title>Wind Tunnel Validation of a Particle Tracking Model to Evaluate the Wind‐Induced Bias of Precipitation Measurements</title><author>Cauteruccio, A. ; Brambilla, E. ; Stagnaro, M. ; Lanza, L. G. ; Rocchi, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3684-e27b79266b837904e79c7756ffaa67ef585f0494b4353b87f56317876d60da323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aerodynamics</topic><topic>Air flow</topic><topic>Atmospheric precipitations</topic><topic>Cliffs</topic><topic>Computational fluid dynamics</topic><topic>Computer applications</topic><topic>Deformation</topic><topic>Deviation</topic><topic>Drag coefficient</topic><topic>Drag coefficients</topic><topic>Flow measurement</topic><topic>Fluid dynamics</topic><topic>Gauges</topic><topic>Hydrodynamics</topic><topic>Initial conditions</topic><topic>Local flow</topic><topic>Particle image velocimetry</topic><topic>Particle tracking</topic><topic>Precipitation</topic><topic>Precipitation gauges</topic><topic>precipitation measurement</topic><topic>Precipitation measurements</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Rainfall measurement</topic><topic>Simulation</topic><topic>Updraft</topic><topic>Water droplets</topic><topic>Water drops</topic><topic>Wind tunnel testing</topic><topic>wind tunnel validation</topic><topic>Wind tunnels</topic><topic>wind‐induced bias</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cauteruccio, A.</creatorcontrib><creatorcontrib>Brambilla, E.</creatorcontrib><creatorcontrib>Stagnaro, M.</creatorcontrib><creatorcontrib>Lanza, L. 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G.</au><au>Rocchi, D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Wind Tunnel Validation of a Particle Tracking Model to Evaluate the Wind‐Induced Bias of Precipitation Measurements</atitle><jtitle>Water resources research</jtitle><date>2021-07</date><risdate>2021</risdate><volume>57</volume><issue>7</issue><epage>n/a</epage><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>A physical full‐scale experimental set‐up was designed and implemented in the wind tunnel to reproduce and capture the trajectories of falling water drops when approaching the collector of catching type precipitation gauges, reproducing rainfall measurements in windy conditions. The experiment allowed to collect, for the first time, a large data set of high‐resolution footages of the deviation of such trajectories, as induced by the bluff‐body aerodynamics of the outer gauge shape. By processing the collected images, a consistent quantitative interpretation of each drop pattern was possible, based on a detailed Computational Fluid Dynamics simulation of the airflow updraft and acceleration features above the collector of the gauge. Numerical airflow simulations were extensively validated in the wind tunnel, using local flow measurements and Particle Image Velocimetry. Capturing the deviation of the drop trajectories in the wind tunnel allowed a clear visualization of the physical reason for the wind‐induced undercatch of precipitation gauges, since drops were individually observed to fall outside instead of inside of the collector, contrary to what would be expected by extrapolating their undisturbed trajectory. The adopted Lagrangian Particle Tracking model and the formulation used for the drag coefficient were suitable to closely reproduce the observed drop trajectories when affected by the airflow deformation due to the bluff‐body aerodynamics of two investigated gauge geometries. The wind tunnel experiment provided the basis for the validation of the particle tracking model in terms of the difference between simulated and observed trajectories, after initial conditions were suitably set to represent the experimental setup.
Key Points
Water drops are released in a wind tunnel to mimic rainfall and tracked to observe the wind‐induced measurement bias of raingauges
Numerical simulation of the airflow field and a lagrangian particle tracking model are applied to reproduce the drop trajectories
Wind tunnel tests validate airflow simulation and particle tracking results supporting their application in studying the wind‐induced bias</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2020WR028766</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-4661-7677</orcidid><orcidid>https://orcid.org/0000-0002-5874-0357</orcidid><orcidid>https://orcid.org/0000-0002-7931-172X</orcidid><oa>free_for_read</oa></addata></record> |
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source | Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Wiley-Blackwell AGU Digital Library |
subjects | Aerodynamics Air flow Atmospheric precipitations Cliffs Computational fluid dynamics Computer applications Deformation Deviation Drag coefficient Drag coefficients Flow measurement Fluid dynamics Gauges Hydrodynamics Initial conditions Local flow Particle image velocimetry Particle tracking Precipitation Precipitation gauges precipitation measurement Precipitation measurements Rain Rainfall Rainfall measurement Simulation Updraft Water droplets Water drops Wind tunnel testing wind tunnel validation Wind tunnels wind‐induced bias |
title | Wind Tunnel Validation of a Particle Tracking Model to Evaluate the Wind‐Induced Bias of Precipitation Measurements |
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