Javascript must be enabled to continue!
Comparison of Tornado Damage Characteristics to Low-Altitude WSR-88D Radar Observations and Implications for Tornado Intensity Estimation
View through CrossRef
Abstract
Given the obvious difficulties in directly sampling tornadic wind fields, ongoing work continues to improve estimates of near-ground wind speeds in tornadoes. This study builds upon a recently proposed empirical relationship between radar-observed velocities in the lowest 150 m above ground level (AGL) and the theoretical peak 15-m AGL wind speed. We create and analyze a dataset of 194 velocity observations within tornadoes in the lowest 150 m AGL. These observations are drawn from 105 individual tornadoes that occurred across a diverse range of EF-scale ratings (EF0–4), convective modes (discrete supercell and quasi-linear convective system), geographical regions, and housing unit densities (HUDs). Comparing the radar-estimated and damage-estimated tornado wind speeds, and corresponding EF- and F-scale ratings, is the primary focus of the ensuing analysis. Consistent with recent work, damage-estimated tornado wind speeds tend to be lower than radar-estimated near-surface wind speeds, especially for stronger tornadoes. Damage- and radar-estimated wind speed differences are not strongly related to the availability of damage indicators (as measured by HUD). While some relationship exists—particularly underestimates of peak wind speeds for strong–violent tornadoes in low HUD areas—the tendency of radar-based strong/violent tornado intensity estimates to be meaningfully higher than EF-scale-based damage estimates exists across the HUD spectrum. The legacy F-scale wind speed ranges may ultimately provide a better estimate of peak tornado wind speeds at 10–15 m AGL for strong–violent tornadoes and a better damage-based intensity rating for all tornadoes. These results are contextualized with regard to ongoing community efforts to improve tornado intensity estimation.
Significance Statement
Due to the numerous difficulties in collecting direct observations of tornado wind speeds, we compare methods that are used to estimate near-ground wind speeds using both radar measurements of wind speeds aloft and damage. Our results show that 1) the damage-estimated intensities of stronger tornadoes are more likely to be underestimates of true wind speeds than weaker tornadoes based on radar observations, 2) this bias is present for tornadoes that occur in more built-up areas as well as more sparsely populated ones, and 3) the legacy Fujita scale may provide better wind speed estimates in stronger tornadoes. These findings contribute to community-wide efforts to improve damage-based estimates of peak tornado wind speeds.
American Meteorological Society
Title: Comparison of Tornado Damage Characteristics to Low-Altitude WSR-88D Radar Observations and Implications for Tornado Intensity Estimation
Description:
Abstract
Given the obvious difficulties in directly sampling tornadic wind fields, ongoing work continues to improve estimates of near-ground wind speeds in tornadoes.
This study builds upon a recently proposed empirical relationship between radar-observed velocities in the lowest 150 m above ground level (AGL) and the theoretical peak 15-m AGL wind speed.
We create and analyze a dataset of 194 velocity observations within tornadoes in the lowest 150 m AGL.
These observations are drawn from 105 individual tornadoes that occurred across a diverse range of EF-scale ratings (EF0–4), convective modes (discrete supercell and quasi-linear convective system), geographical regions, and housing unit densities (HUDs).
Comparing the radar-estimated and damage-estimated tornado wind speeds, and corresponding EF- and F-scale ratings, is the primary focus of the ensuing analysis.
Consistent with recent work, damage-estimated tornado wind speeds tend to be lower than radar-estimated near-surface wind speeds, especially for stronger tornadoes.
Damage- and radar-estimated wind speed differences are not strongly related to the availability of damage indicators (as measured by HUD).
While some relationship exists—particularly underestimates of peak wind speeds for strong–violent tornadoes in low HUD areas—the tendency of radar-based strong/violent tornado intensity estimates to be meaningfully higher than EF-scale-based damage estimates exists across the HUD spectrum.
The legacy F-scale wind speed ranges may ultimately provide a better estimate of peak tornado wind speeds at 10–15 m AGL for strong–violent tornadoes and a better damage-based intensity rating for all tornadoes.
These results are contextualized with regard to ongoing community efforts to improve tornado intensity estimation.
Significance Statement
Due to the numerous difficulties in collecting direct observations of tornado wind speeds, we compare methods that are used to estimate near-ground wind speeds using both radar measurements of wind speeds aloft and damage.
Our results show that 1) the damage-estimated intensities of stronger tornadoes are more likely to be underestimates of true wind speeds than weaker tornadoes based on radar observations, 2) this bias is present for tornadoes that occur in more built-up areas as well as more sparsely populated ones, and 3) the legacy Fujita scale may provide better wind speed estimates in stronger tornadoes.
These findings contribute to community-wide efforts to improve damage-based estimates of peak tornado wind speeds.
Related Results
Damage Analysis and Close-Range Radar Observations of the 13 April 2019 Greenwood Springs, Mississippi, Tornado during VORTEX-SE Meso18-19
Damage Analysis and Close-Range Radar Observations of the 13 April 2019 Greenwood Springs, Mississippi, Tornado during VORTEX-SE Meso18-19
Abstract
A tornado outbreak occurred across the Southeast United States on 13–14 April 2019, during the Verification of the Origins of Rotation in Tornadoes Experiment–Southeast (V...
Comparative Anatomy of the Respiratory Systems in High Altitude vs. Low Altitude Populations
Comparative Anatomy of the Respiratory Systems in High Altitude vs. Low Altitude Populations
Background: The comparative anatomy of the respiratory systems in high-altitude versus low-altitude populations offers significant insights into human adaptation to hypoxic conditi...
An updated tornado climatology and associated meteorological environments in Greece
An updated tornado climatology and associated meteorological environments in Greece
<p>Tornadoes are common in Greece, as they have been reported in many parts of the country, including continental and maritime areas. Systematic records of tornado oc...
Natural Threat – Tornadoes
Natural Threat – Tornadoes
AbstractCounting only the month of May 2015 about 20 tornadoes developed in Germany. At least three of them reached tornado category F3 destroying villages, e.g. [15]. About 50 peo...
Weather-Based Predictive Modeling of Wheat Stripe Rust Infection in Morocco
Weather-Based Predictive Modeling of Wheat Stripe Rust Infection in Morocco
Predicting infections by Puccinia striiformis f. sp. tritici, with sufficient lead times, helps determine whether fungicide sprays should be applied in order to prevent the risk of...
The Relationship between Instantaneous and 3-Second Wind Gust Periods as a Function of a Modified Rankine Vortex
The Relationship between Instantaneous and 3-Second Wind Gust Periods as a Function of a Modified Rankine Vortex
Abstract
The ASCE/SEI/AMS Standards Committee on Estimating Wind Speeds in Tornadoes and Other Windstorms has undertaken a long-term effort to develop a multi-met...
On-Site Response Tracking for WISDOM System
On-Site Response Tracking for WISDOM System
AbstractThe WISDOM ground penetrating radar aboard the Rosalind Franklin rover is waiting for its intended launch in 2028 within the ExoMars mission. It will search for Water, Ice,...
Metallized Plastic Waveguide Antenna Solutions for Next-Generation Automotive Radar Systems
Metallized Plastic Waveguide Antenna Solutions for Next-Generation Automotive Radar Systems
The automotive industry has significantly focused on developing reliable driving assistance systems, with radar sensors emerging as key components for autonomous driving, thanks to...

