The storm detectives: How interns from a Western lab pieced together clues to a ferocious storm in Ontario

Toronto Star · collected 2026-09-13 · by Janet Hurley
Read the original at Toronto Star ↗

Summary

On September 2, severe weather devastated parts of southern Ontario, particularly affecting farms around Brodhagen and Manley. Kevin Murray’s properties in Perth County suffered significant damage, including a destroyed barn. A team from Western University's Canadian Severe Storms Laboratory (CSSL) investigated the storm to determine if it was caused by a tornado. Matthew Woodward, a 22-year-old intern at CSSL, led the investigation with his team, using drone images and rapid site assessment techniques to gather crucial evidence about the extent of the damage before cleanup efforts began.
Written by the local model on 2026-09-13, using this article's own text rather than the other coverage of the same event (that is the story summary below).

Signals How these are calculated →

Claims extracted
53
claim-shaped sentences
Uncertain
4%
2 of 53 hedged
Leaning
not political
takes no side on a contested political question
Correction & hedging signals
61.8
corrections and hedging in what we collected; not a measure of accuracy
Outlets on this story
1
Environment
Narrative spread
1
articles carrying this framing
Analyzed 2026-09-13 · how these are computed

AI analysis (generated at analysis time, not now)

Story summary

On September 2, a severe storm struck southern Ontario, causing extensive damage across multiple communities. In Manley, Kevin Murray's properties were devastated when the wind reached speeds of approximately 130 km/h according to preliminary assessments by interns from the Centre for Severe Weather Research Laboratory (CSSL). The storm uprooted trees, flattened the barn on Murray’s property to kindling, and scattered debris across his land. Similar destruction occurred in other areas such as Brodhagen, where roads were blocked by fallen hydro lines and debris.

The CSSL interns, equipped with iPads, documented the damage using a program that ranks it according to the Enhanced Fujita scale—a measure used to estimate wind intensity based on observable damage. They concluded that Murray’s property experienced destruction ranked at 6 out of 8 on this scale. Their observations will help determine if a tornado actually touched down and assign an EF-scale rating, which ranges from EF0 (minimal) to EF5 (catastrophic). This assessment is crucial for understanding the storm's severity and informing future weather preparedness measures.

Written for “Storm Investigation Team Finds Clues” on 2026-09-14, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
This article does not take a side on a contested political question, so it has no leaning score. That is an answer rather than a gap: a match report or a rescue can be warmly or critically written without being left or right, and scoring it anyway is how approval of a subject gets recorded as a political position.
No political leaning scored for article 8610 · logged 2026-09-13

Story

📰 Storm Investigation Team Finds Clues
Environment · 1 article(s) covering the same event. This is the one the site leads with.

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Compared with similar articles

Nothing to compare against. No article is close enough to this one for the pipeline to have linked or judged the pair.

Publisher

Toronto Star · 381 article(s) · 1 correction(s) detected
Running correction rate · 1 correction(s)
2026-09-04
Orca Corrects Q3 Quarterly Dividend Announcement

Who wrote this

Janet Hurley
1 article(s) here · 1 carrying a prediction
🔮 The search for evidence The severe weather forecast for Sept. 2 had proven all too accurate.
The only article under this byline in the corpus.

Topics

Brodhagen CSSL Canada MANLEY ONT.

Subjects

Murray PERSON · 5× CSSL ORG · 3× Toronto GPE · 3× Brodhagen GPE · 2× Canada GPE · 2× Woodward PERSON · 2× Kevin Murray PERSON · 1× MANLEY GPE · 1× ONT. GPE · 1× Perth County GPE · 1×

Narrative

They photographed everything and fed their observations into a program on an iPad, ranking the destruction of Murray’s property a 6 out of 8 and concluding the wind speed had likely been 130 km/h. The final report would be done back at the lab with the ultimate goal of determining whether a tornado actually touched down and assigning a rating on the Enhanced Fujita scale, a measure of wind intensity similar to the Richter scale for earthquakes but with a key difference being that it’s damage-based and requiring humans trained in forensic assessment to, as Miller put it, “work backwards” from the wreckage.
framing: assertive · carried by 1 article(s) · first seen 2026-09-13
🔮 The search for evidence The severe weather forecast for Sept. 2 had proven all too accurate.

Claims (53 extracted, 2 hedged)

As Kevin Murray stood on his porch, the sky suddenly turned dark and the wind surged, driving the rain sideways. asserted
wind → stand → rain
He ordered his four children to the basement. asserted
He → order → basement
He watched as a trampoline careened across the yard; the house shook, and Murray knew it was time to follow the family downstairs. asserted
it → watch → family
Less than 15 minutes later, he emerged from his Perth County home to a scene of devastation across his two properties. asserted
he → emerge → properties
Towering trees that once lined the long country driveway like a colonnade lay in ruins. asserted
that → tower → ruins
The barn was reduced to kindling, save for one metal wall bearing a precariously affixed sign that was a wedding gift from his wife some 14 years ago. asserted
that → reduce → wife
“I was shocked but more sad because we have our name on the barn and now it’s gone,” Murray said. asserted
Murray → have → barn
The storm that rolled through southern Ontario on the afternoon of Sept. 2 cut a wide path. asserted
that → roll → path
In Toronto, it twisted and tossed the bleachers at Rogers Stadium and flooded the streets of Vaughan. asserted
it → twist → Vaughan
In farming communities west of Waterloo, it levelled barn after barn and flattened fields of corn. asserted
it → level → corn
Debris and downed hydro lines blocked roads around Brodhagen, not far from Murray’s farm. asserted
Debris → down → farm
The question on everyone’s mind was: Had a tornado come through? asserted
tornado → come → mind
At Western University, a team of students with the Canadian Severe Storms Laboratory (CSSL) was getting ready to find the answer. asserted
team → get → answer
The search for evidence The severe weather forecast for Sept. 2 had proven all too accurate. asserted
forecast → prove → Sept.
Reports of property damage, particularly around Brodhagen, north of Stratford, were beginning to filter into the lab, established in 2024 to house the Northern Tornadoes, the Northern Hail and the Northern Mesonet research projects. asserted
Reports → begin → Tornadoes
Matthew Woodward, a 22-year-old geography major, got tapped to assemble a team. asserted
Woodward → tap → team
The University of Waterloo student grabbed his go-bag — packed with water, food, a laptop and some overnight supplies just in case — and prepared to head out for what would be his 21st investigation this year. asserted
what → grab → case
For the past four summers, Woodward has served as a CSSL intern, returning each season to do forensic analysis and research in the wake of Canada’s worst storms, helping piece together the what and why. asserted
Woodward → serve → what
The paid 17-week internship program, launched in 2022 and open to any university student in Canada, places teams in London, Ont., Winnipeg and Olds, Alta., known as “hailstorm alley.” asserted
program → launch → alley
On Sept. 3, just after noon, Woodward and three graduate students pulled up to the Murray farm in a white pickup emblazoned with the CSSL logo. asserted
Woodward → pull → logo
The team, which had already visited 20 sites that morning, had spotted the collapsed barn via drone images captured from another battered property more than a kilometre away. asserted
which → visit → property
Because tornado damage gets cleaned up quickly, speed matters, explained internship co-ordinator Connell Miller, who is also director of the Northern Mesonet Project. asserted
who → clean → Project
“The more preserved a site is by the time we get there, the more information we can glean from it.” asserted
we → get → it
Even as the team arrived, Murray and his family were already clearing debris, a tractor scooping up downed branches. asserted
tractor → arrive → branches
With permission, the students fanned out, searching for clues. asserted
students → fan → clues
One day, says a climatologist, Toronto will get a true “climatologically extreme” storm, says an expert, and the results will be “beyond One day, says a climatologist, Toronto will get a true “climatologically extreme” storm, says an expert, and the results will be “beyond Their first questions were practical: asserted
questions → say → storm
Was the barn door open when the storm hit? asserted
storm → hit → ?
The answers mattered. asserted
answers → matter → ?
The team examined the remnants, inspecting the nails and screws that had once connected the roof to the walls and the walls to the foundation. asserted
that → examine → foundation
They looked for splatter marks. asserted
They → look → marks
A tornado generates significant uplift, throwing dirt and debris everywhere; the more common downburst, a powerful column of sinking air, pushes outward rather than upward, leaving no such signature. asserted
downburst → generate → signature
They surveyed the field of damage trying to determine if it was wide and in the same direction like a downburst or narrow and convergent like a tornado. asserted
it → survey → tornado
They photographed everything and fed their observations into a program on an iPad, ranking the destruction of Murray’s property a 6 out of 8 and concluding the wind speed had likely been 130 km/h. The final report would be done back at the lab with the ultimate goal of determining whether a tornado actually touched down and assigning a rating on the Enhanced Fujita scale, a measure of wind intensity similar to the Richter scale for earthquakes but with a key difference being that it’s damage-based and requiring humans trained in forensic assessment to, as Miller put it, “work backwards” from the wreckage. asserted
Miller → photograph → wreckage
Since the internship program began, the most catastrophic events recorded have been the derecho — a long-lived, fast-moving straight-line band of thunderstorms — that swept through Ontario and Quebec in May 2022 killing 16 people and the EF4 tornado, with a wind speed of 275 km/h, that hit Didsbury, Alta., the next year. uncertain
that → begin → Didsbury
“The biggest misconception is that Canada doesn’t receive that many tornadoes,” said Miller, adding it’s second in the world to the U.S. asserted
it → receive → U.S.
Back in June, when Miller first spoke to the Star, he said 2026 was looking relatively quiet. asserted
2026 → speak → Star
It started off slow, but it’s really picked up,” he admitted the day after the Sept. 2 storm. asserted
he → start → storm
This could be “one of the busiest seasons since we started the Northern Tornadoes Project in 2017.” uncertain
we → start → 2017
The relentless pace takes a toll. asserted
pace → take → toll
There is a duality to the work, said Miller, in that such weather events are necessary to advance research but no one wants a tornado to occur. asserted
tornado → be → research
…and 13 more, not listed.
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