activity
20192025
most citedNext generation combined sonic-hotfilm anemometer: wind alignment and automated calibration procedure using deep learning

9 citations · 21 across the 7 of their papers we have counts for

collaborators

7 papers

physics.flu-dyn2025

Visual anemometry of natural vegetation from their leaf motion

Roni H. Goldshmid, John O. Dabiri, John E. Sader

High-resolution, near-ground wind-speed data are critical for improving the accuracy of weather predictions and climate models, supporting wildfire control efforts,…

physics.flu-dyn2023

Laboratory investigation of nominally two-dimensional anabatic flow on symmetric double slopes

Roni H. Goldshmid, Dan Liberzon

We investigated the dynamics of highly turbulent thermally driven anabatic (upslope) flow on a physical model inside a large water tank using particle image velocimetry (PIV) and a…

physics.flu-dyn2023★ 1 cited

Visual anemometry: physics-informed inference of wind for renewable energy, urban sustainability, and environmental science

John O. Dabiri, Michael F. Howland, Matthew K. Fu +1

Accurate measurements of atmospheric flows at meter-scale resolution are essential for a broad range of sustainability applications, including optimal design of wind and solar farm…

physics.flu-dyn2022

Physical constraints on visual anemometry using vegetation displacement statistics

Roni H. Goldshmid, John O. Dabiri

Visual anemometry (VA) leverages observations of fluid-structure interactions to infer incident flow characteristics. Recent work has demonstrated the concept of VA using both data…

cs.CV2021★ 8 cited

Self-Supervised Keypoint Discovery in Behavioral Videos

Jennifer J. Sun, Serim Ryou, Roni Goldshmid +6

We propose a method for learning the posture and structure of agents from unlabelled behavioral videos. Starting from the observation that behaving agents are generally the main so…

physics.flu-dyn2021★ 9 cited

Next generation combined sonic-hotfilm anemometer: wind alignment and automated calibration procedure using deep learning

Roni H. Goldshmid, Ewelina Winiarska, Dan Liberzon

The study of naturally occurring turbulent flows requires ability to collect empirical data down to the fine scales. While hotwire anemometry offers such ability, the open field st…

physics.flu-dyn2019★ 3 cited

Automated identification and characterization method of turbulent bursting from single-point records of the velocity field

Roni Hilel Goldshmid, Dan Liberzon

A new automated method capable of accurately identifying bursting periods in single-point turbulent velocity field records is presented. Manual selection of the method sensitivity…