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researcher

Roni H. Goldshmid

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn3
ORCID 0000-0001-9095-3259

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedVisual anemometry: physics-informed inference of wind for renewable energy, urban sustainability, and environmental science

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 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,1−3 supporting wildfire control efforts,4−7…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.