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Sudesh Boodoo

Biographic Data

ID9958460
NAMESudesh Boodoo
GIVEN NAMESSudesh
FAMILY NAMEBoodoo
SIGNATUREBOODOO S
AFFILIATIONSWestern University
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Hail vulnerability modeling for Calgary, Canada using environmental and socioeconomic data with multivariate regression and machine learning techniques

    Open Access•Yao Li, Nova Roosmawati et al.•ARTICLE•International Journal of Disaster…•2026

    This study models insured loss data against environmental and socioeconomic variables to derive empirical hail vulnerability functions. The loss data come from three major hailstorms that occurred in 2020, 2021, and 2024 across Calgary, Canada. Radar-derived Maximum Estimated Size of Hail (MESH) at 1 km resolution and satellite-based precipitation data at 8-km resolution are combined with nine socioeconomic variables transformed from 46 variables…

  • Stochastic modeling of radar-derived maximum estimated size of hail for scenario-based hail loss estimation

    Open Access•Katsuichiro Goda, Yao Li et al.•ARTICLE•International Journal of Disaster…•2025

No prominent works on this page.

  • Stochastic modeling of radar-derived maximum estimated size of hail for scenario-based hail loss estimation

    Open Access•Katsuichiro Goda, Yao Li et al.•ARTICLE•International Journal of Disaster…•2025

  • Hail vulnerability modeling for Calgary, Canada using environmental and socioeconomic data with multivariate regression and machine learning techniques

    Open Access•Yao Li, Nova Roosmawati et al.•ARTICLE•International Journal of Disaster…•2026

    This study models insured loss data against environmental and socioeconomic variables to derive empirical hail vulnerability functions. The loss data come from three major hailstorms that occurred in 2020, 2021, and 2024 across Calgary, Canada. Radar-derived Maximum Estimated Size of Hail (MESH) at 1 km resolution and satellite-based precipitation data at 8-km resolution are combined with nine socioeconomic variables transformed from 46 variables…

Climate variability and models (1 work) · Feature selection (1 work) · Interpretability (1 work) · Mean squared error (1 work) · Meteorological Phenomena and Simulations (1 work) · Precipitation Measurement and Analysis (1 work) · Random forest (1 work) · Regression (1 work) · Regression analysis (1 work) · Socioeconomic status (1 work)

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