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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Veröffentlicht in:Water resources research 2021-07, Vol.57 (7), p.n/a
Hauptverfasser: Cauteruccio, A., Brambilla, E., Stagnaro, M., Lanza, L. G., Rocchi, D.
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container_issue 7
container_start_page
container_title Water resources research
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creator Cauteruccio, A.
Brambilla, E.
Stagnaro, M.
Lanza, L. G.
Rocchi, D.
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
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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><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2020WR028766</identifier><language>eng</language><publisher>Washington: John Wiley &amp; 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. 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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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