From Forbidden Word to Forecast: The Long, Difficult Road to Understanding Tornado Behavior
June 2026
Before there were warnings, there were only survivors.
In the early decades of the 20th century, tornadoes were poorly understood, poorly documented, and almost entirely unpredictable. The death tolls reflected that reality in ways that are difficult to comprehend today. The Tri-State Tornado of March 18, 1925 carved a continuous path of destruction across Missouri, Illinois, and Indiana for 219 miles, a distance that remains unmatched in recorded history. It killed 695 people. The town of Murphysboro, Illinois lost 234 residents in minutes. Entire communities were erased before anyone knew the storm was coming.
This was not unusual. It was the norm.
The tools didn’t exist. The science didn’t exist. And in a cruel institutional irony that defined American meteorology for decades, the warnings weren’t allowed to exist either.
The Forbidden Word
For much of the early 20th century, the United States Weather Bureau officially prohibited the use of the word “tornado” in public forecasts. The reasoning, such as it was, centered on fear, not of the storms themselves, but of the public’s reaction to knowing they were coming. Officials believed that warning people would cause mass panic, stampedes, economic disruption. Better, the thinking went, to say nothing and let nature take its course.
Read that again. The federal agency responsible for protecting the American public from severe weather decided that the American public couldn’t be trusted with accurate information about the most violent storms on earth.
The consequences were measured in lives.
March 20 and March 25, 1948 — The Days Everything Changed
Central Oklahoma was visited by destructive tornadoes during the latter part of March 1948. The first struck on March 20th, touching down near Will Rogers Field in Oklahoma City and moving eastward across both Will Rogers Field and Tinker Air Field. The destruction was staggering with dozens of aircraft damaged or destroyed along with over 100 vehicles. Three of the eight injuries were sustained in the base control tower. The tornado produced a record amount of damage for Oklahoma to that date.
The destruction prompted something unprecedented. A serious effort to determine whether such an event could have been anticipated, and whether the next one might be forecast in advance.
That next one came five days later.
On March 25, 1948, another tornado developed near Tinker Air Field and moved to the northeast across the base, striking just 100 yards from the previous tornado’s path. Hangars, buildings, and dozens of various aircraft were damaged or destroyed. Witnesses described this tornado differently from the first, not the “black funnel” of March 20th, but a “white finger” against the sky.
What made March 25, 1948 different from every tornado that had come before it was not the destruction. It was what happened before the destruction.
Lieutenant Colonel Ernest J. Fawbush and Captain Robert C. Miller, Air Force meteorologists who had spent the five days since the first tornado analyzing its atmospheric precursors, recognized the same pattern assembling itself again. Against convention, against institutional resistance, against everything they had been told was scientifically impossible, they issued a forecast. For the first time in history, the likelihood of tornadoes in the area was successfully forecast before they occurred.
Two Air Force officers, armed with paper charts and professional courage, had done what the entire meteorological establishment had declared could not be done.
The door cracked open. It would take decades to push it all the way.
Building From Scratch — The SELS Years
The Severe Local Storms unit, established in Kansas City in 1952, was charged with the unglamorous work of making tornado forecasting systematic. There were no computers. There were no Doppler radars. There were no satellite images. There were meteorologists, paper records, hand-drawn maps, slide rules, and the slow accumulation of pattern recognition built from thousands of documented storm reports.
It was painstaking, meticulous, often thankless work. Researchers spent careers cataloguing storm events so that future forecasters would have something to stand on. They were building a foundation for a science that barely existed, for a phenomenon that struck rarely, moved fast, and left little behind to study.
The atmosphere, as any experienced forecaster will tell you, is not cooperative. It is a three-dimensional fluid of staggering complexity varying simultaneously in temperature, density, moisture content, wind speed, and wind direction, across vertical and horizontal scales that interact in ways that can change a forecast in minutes. Variables emerge that weren’t known until the last moment. Boundaries shift. Caps break prematurely or hold longer than expected. The atmosphere always holds the marked deck of cards, the loaded dice, the ace up its sleeve. The researchers of the SELS era were learning to play a game whose rules kept changing.
The Super Outbreak of 1974 — When Everything Accelerated
April 3-4, 1974. In 18 hours, 148 confirmed tornadoes struck 13 states across the South and Midwest. More than 300 people died. Entire towns were destroyed. The scale of destruction was unlike anything the modern United States had experienced.
The conventional wisdom that followed was sobering and, as history would prove, dangerously optimistic. The 1974 Super Outbreak was widely regarded as a once-in-a-lifetime event. Perhaps once in a century. A catastrophic alignment of atmospheric ingredients that the modern era would be unlikely to see repeated.
It was not a once-in-a-lifetime event.
Theodore Fujita — The Man Who Saw What Others Couldn’t
No essay on the history of tornado science is complete without acknowledging Dr. Theodore “Ted” Fujita of the University of Chicago. He was, in the truest sense, a man whose ideas ran ahead of the technology needed to prove them.
Following the devastating Lubbock, Texas tornado of May 11, 1970, which killed 26 people and caused what was then the costliest tornado damage in history, Fujita developed what became known as the Fujita Scale of Tornado Intensity. The F-scale, ranging from F0 to F5, gave meteorologists and researchers a standardized framework for assessing tornado damage and inferring wind speeds that remained the professional standard for decades.
But the F-scale was only one of Fujita’s contributions. He proposed the existence of microbursts, powerful localized downdrafts capable of producing wind shear violent enough to destroy aircraft. He documented the multiple-vortex structure of large tornadoes, with smaller suction vortices rotating within the main circulation producing the most extreme damage in narrow, intermittent paths. His ideas were met with significant skepticism. Some colleagues thought he was wrong. Some thought he was eccentric.
Then a series of airline crashes in the 1970s and 1980s were attributed to exactly the microburst phenomenon he had described. Terminal Doppler Weather Radar, the instrument he had proposed to detect microbursts, was subsequently deployed at major airports across the country.
I had the opportunity to meet Dr. Fujita at a conference. We spoke for perhaps half an hour. It was a conversation I have never forgotten. What struck me most was not his brilliance, which was evident, but his patience. He had spent years being told he was wrong about things he had meticulously documented. He had weathered the skepticism with the quiet confidence of someone who trusted the data more than the consensus. He was right about nearly everything. The atmosphere eventually proved him out.
That is how science works at its best. Not through immediate acceptance, but through evidence that accumulates until denial becomes impossible.
Doppler Radar — Seeing Inside the Storm
The deployment of the WSR-88D NEXRAD Doppler radar network through the 1990s was transformational in a way that is difficult to overstate. For the first time in history, meteorologists could see rotation inside a thunderstorm before a tornado reached the ground. The radar detected the Doppler shift in returned energy from precipitation, the difference in frequency between objects moving toward the radar and away from it, revealing wind patterns invisible to the human eye.
Warning lead times, which had been measured in seconds or not at all, extended to an average of 13 minutes. Imperfect. Agonizingly imperfect when you consider what 13 minutes means to a family trying to reach shelter. But compared to zero, revolutionary.
The atmosphere, however, remained uncooperative. Not every rotating supercell produces a tornado. Not every tornado is preceded by detectable rotation at radar elevation angles. The science had taken an enormous leap forward and was still, frustratingly, incomplete.
VORTEX — Getting Close Enough to Learn
The Verification of the Origins of Rotation in Tornadoes EXperiment sent scientists into the field to chase supercells, deploy instruments, and try to answer the question that remained stubbornly unanswered despite decades of research: what precisely triggers tornado formation within a rotating supercell?
The honest answer, after two major VORTEX campaigns and decades of subsequent research, is that we still don’t fully know.
This is not a failure of science. It is science working exactly as it should, acknowledging the boundaries of current knowledge, designing experiments to push those boundaries outward, and accepting that the atmosphere is under no obligation to be simple. We understand more than we did. We understand less than we need to. The research continues.
Dual Polarization — Debris in the Air
The upgrade of the NEXRAD network to dual-polarization radar in the 2000s and 2010s added another dimension to what meteorologists could see. By transmitting and receiving radar pulses in both horizontal and vertical orientations simultaneously, dual-pol radar can distinguish between rain, hail, and debris including the debris signature of a tornado in progress.
For the first time, meteorologists could confirm a tornado was on the ground even before visual confirmation from spotters. A swirling mass of insulation, wood, and roofing material has a radar signature that rain and hail do not. That signature, the Tornadic Debris Signature, became one of the most powerful confirmation tools in the forecaster’s toolkit.
2011 — History Reminds Us It Can Repeat Itself
The spring of 2011 delivered two reminders that the assumptions built on decades of improving science were not guarantees.
On April 27, 2011, a second Super Outbreak swept across the South and Midwest. The 1974 outbreak had been regarded as a generational catastrophe unlikely to be repeated. It was repeated and surpassed. More than 300 tornadoes were confirmed across multiple states in a single day. The assumption that such an event was a once-in-a-lifetime occurrence was wrong.
Then, on May 22, 2011, a violent tornado struck Joplin, Missouri on a quiet Sunday afternoon. The city’s population was approximately 50,000. The National Weather Service had issued warnings. Lead times were not zero. And yet approximately 160 people died, the first tornado since 1953 to claim more than 100 lives.
The general public had believed, with some justification, that the combination of improved forecasting, better radar, longer lead times, and public awareness had made a triple-digit death toll from a single tornado essentially extinct. The speculation at the time was grimly specific. To kill 100 or more people would require something like an EF-5 tornado striking the heart of downtown Dallas at rush hour. Even then, perhaps only barely.
Joplin was not downtown Dallas. It was a mid-sized Midwestern city on a Sunday afternoon, and the tornado was obscured by heavy rainfall that reduced visibility and complicated the public response to warnings that had been issued.
The science had done its job. The warning had been issued. People died anyway.
This is the uncomfortable truth that tornado science must continually confront. Warnings are necessary but there are added variable that the National Weather Service cannot control. Adequate shelter, public education, land use decisions, building code standards, and even public apathy that reflect severe weather realities are all part of a system that the science alone cannot complete.
Super outbreaks will happen again. A single tornado will kill more than 100 people again. It may not be this year. But the atmosphere has demonstrated, repeatedly, that it will not be constrained by our assumptions about what is possible.
Where We Stand Now
Modern tornado forecasting operates at a level of sophistication that would have been unrecognizable to Fawbush and Miller in 1948. Computer Aided Mesoscale Analysis, ensemble modeling systems, convection-allowing models running at grid spacings of a few kilometers, machine learning applications beginning to identify tornado-favorable signatures in model output, the tools available to today’s forecasters represent the accumulated work of thousands of researchers across eight decades.
The Storm Prediction Center issues outlooks that give the public days of advance notice when severe weather potential is elevated. Mesoscale discussions parse the fine details of evolving setups in real time. Forecasters watch hodographs for the curving low-level wind profiles that favor supercell development and tornadogenesis. They track boundaries, monitor surface dewpoints, evaluate the strength of convective inhibition and the timing of its erosion.
And still the atmosphere surprises them. Still storms form where they weren’t expected and fail to form where all the ingredients were present. Still the loaded dice come up wrong.
That is not failure. That is the honest reality of trying to predict the behavior of a three-dimensional fluid of near-infinite complexity, in real time, with lives depending on the answer.
You Can Be Part of This
The history of tornado science has never been solely the story of professional meteorologists working in offices and laboratories. It has always depended on observers, people on the ground, watching the sky, reporting what they see.
SKYWARN, the National Weather Service’s network of trained storm spotters, puts eyes on the atmosphere where radar cannot reach. Training is free, widely available, and open to anyone with the commitment to show up and learn. Trained spotters provide ground truth that confirms or contradicts what instruments are showing, reporting rotation, funnel clouds, tornadoes on the ground, hail size, wind damage, information that flows directly into the warning decision process. Their observations have saved lives.
CoCoRaHS, the Community Collaborative Rain, Hail and Snow Network, engages thousands of volunteer observers across North America in daily precipitation reporting that improves both climatological records and short-term forecast accuracy. The data from those volunteers fills gaps in the observational network that no radar or satellite can fill.
You don’t need a meteorology degree. You need curiosity, commitment, and a willingness to show up, to take your observation, to report your storm, to be a reliable node in a network that is larger and more important than any single participant. Most importantly, it’s about community service. The atmosphere doesn’t care about credentials. It responds to observation.
Closing Thoughts…
The next time someone tells you that meteorologists are paid to be wrong half the time, tell them about Fawbush and Miller.
Tell them about the researchers who spent careers hand-drawing maps in Kansas City so that future forecasters would have a foundation to stand on. Tell them about Ted Fujita, who was told he was wrong and kept documenting anyway until the evidence became undeniable. Tell them about the scientists who chased supercells and deployed instruments in the paths of tornadoes trying to answer a question we still can’t fully answer. Tell them about the engineers who built a radar network that can see debris swirling in the air and confirm a tornado is on the ground before anyone calls it in.
Tell them that tornado forecasting went from impossible, officially, institutionally, forbidden, to a discipline that gives millions of Americans advance warning before the most violent storms on earth arrive at their doorstep. That it did so through decades of painstaking work, professional courage, institutional resistance, tragedy, persistence, and the kind of slow accumulation of knowledge that doesn’t make headlines but saves lives.
Tell them the atmosphere always has the ace up its sleeve, and that the people who study it spend their careers learning to see it coming anyway.
That is not being wrong half the time.
That is one of the great scientific achievements of the modern era. It just doesn’t have a Nobel Prize.
Yet.
Quarterly Essays on Weather, Climate, and Historical weather Events
March 2026
Why This Winter Felt the Way It Did (And What That Says About Climate Change)
Introduction: Winter’s End, But Not Its Lessons
March 1st marks the beginning of meteorological spring in the Northern Hemisphere, a milestone that signals winter is finally winding down. Of course, if you live in the northern states or Canada, you know that calendar dates don’t always match reality. Many places will see winter conditions for weeks to come, with snowstorms and freezing temperatures still very much in the forecast.
But as we transition out of winter, it’s worth taking a step back and asking: What just happened? This past winter was a study in contrasts. Some regions experienced brutal cold snaps that felt like something out of the past. Others saw record warmth and barely any snow at all. And if you’ve been anywhere near social media, you’ve probably seen the debates: “See? Global warming is a hoax!” versus “This is exactly what climate change looks like!”
Here’s the thing: Both the cold and the warm are part of the same story, a story about how our climate is changing in ways that affect us all, regardless of where we live. Understanding why this winter felt the way it did, and what it tells us about the future, isn’t just about winning arguments. It’s about seeing the world clearly, so we can prepare for what’s coming.
Let’s break down why this winter felt the way it did, what the data actually shows, and what it all means for our changing climate.
- Your Brain Is Playing Tricks on You (And That’s Normal)
Human memory is a funny thing. When it comes to weather, we don’t remember the long-term average, we remember what felt unusual. Scientists call this recency bias, and it’s one of the most powerful forces shaping how we think about climate【4,7】.
Here’s how it works: Your brain doesn’t compare today’s temperature to a century of data. It compares it to what you experienced 2-8 years ago, especially the past 2-4 years【4】. If the last few winters were mild, which they increasingly have been across most of the U.S.【24,27】, then this year’s cold snap hits harder. It feels more extreme because your mental baseline shifted.
This is called shifting baseline syndrome【35,42】. Each generation grows up accepting whatever environmental conditions they experience as “normal,” even if those conditions represent a dramatic change from the past. So when temperatures swing back toward historical averages, or when we get an extreme cold event, it feels shocking, not because it’s actually colder than the past, but because we’ve gotten used to warmer.
Why should skeptics care? Because this same psychological quirk cuts both ways. If your brain can make you think it’s colder than it is, it can also make you miss the bigger warming trend. Data shows that winters are warming faster than any other season in most of the U.S.【24,28】. But we don’t feel that warming as clearly as we feel a single cold week.
- A Warming Planet Can Create Brutal Cold Snaps
Now here’s where the climate science gets really interesting: The cold snap you experienced isn’t evidence against climate change. In many cases, it’s a consequence of it.
The culprit is something called the polar vortex, a ring of strong winds high in the atmosphere that normally keeps cold Arctic air bottled up near the North Pole. When the polar vortex is strong, most of us enjoy mild winters. But when it weakens or gets disrupted, that cold air spills southward into places like the U.S. and Europe【17,21】.
And here’s the connection to climate change: The Arctic is warming twice as fast as the rest of the planet【17】. That rapid warming can destabilize the polar vortex through a process called stratospheric warming, where warm air pushes into the stratosphere and disrupts the circulation patterns. When that happens, the jet stream (the river of air that guides weather systems) gets wavy and distorted, allowing Arctic air to plunge south【14,16,17】.
This winter saw exactly that scenario play out. Multiple stratospheric warming events in late 2025 and early 2026 disrupted the polar vortex, sending waves of cold air across North America【14,16,21】. It’s not a fluke, it’s physics.
Why should skeptics care? Because extreme weather goes both ways. If you’re concerned about harsh winters, you should care about the atmospheric changes driving them. And if you think climate science is overblown, ask yourself: Why are climate models successfully predicting these cold snaps weeks in advance based on Arctic conditions?
- The Data Tells a Different Story Than a Single Cold Week
Step back from any individual winter, and the trend is unmistakable. Since 1970, average winter temperatures have risen across most of the U.S., particularly in northern regions【24,27】. Freezing nights are becoming less common. Snow seasons are shorter. And the winter of 2024-2025 saw Alaska experience temperatures 6.9°F warmer than its seasonal average【28】.
This doesn’t mean cold snaps disappear. It means they’re becoming rarer and less severe on average, even as individual events can still be intense【26】. Think of it like this: The planet isn’t erasing winter, it’s turning down the volume, with occasional loud spikes.
Why should skeptics care? Because agriculture, water supply, and infrastructure all depend on predictable seasonal patterns. Warmer winters aren’t just about comfort, they affect everything from crop yields to pest populations to energy demand【24】. If you care about food prices, water availability, or your local economy, these trends matter.
- What You Can Do (And Why It Matters)
Understanding how our brains process temperature, and how climate change affects winter weather, isn’t just academic. It’s about seeing the world clearly, so we can make better decisions.
Here’s what you can do:
- Check the data yourself. NOAA, NASA, and Climate Central all provide free, publicly accessible temperature records. Don’t trust your memory, trust the measurements.
- Learn about your local climate. How have winters changed where you live? The trends might surprise you.
- Stay curious. The science of climate and weather is constantly improving. Follow trusted sources that explain how we know what we know, not just what we know.
Conclusion: Feeling vs. Knowing
This winter’s cold snap was real. Your discomfort was real. But so is the long-term warming trend, the disruption of the polar vortex, and the psychological quirks that make it hard for us to perceive gradual change.
Climate change doesn’t mean the end of winter. It means winters are becoming less predictable, more variable, and on average, warmer. Understanding that doesn’t require you to change your politics or your worldview. It just requires you to look at the evidence with clear eyes.
The question isn’t whether you felt cold this winter. The question is whether you’re willing to look beyond that feeling to see what’s actually happening to our climate and what we can do about it.
References
【4】Moore, F. C., Obradovich, N., Lehner, F., & Baylis, P. (2019). Rapidly declining remarkability of temperature anomalies may obscure public perception of climate change. Proceedings of the National Academy of Sciences, 116(11), 4905-4910. https://www.pnas.org/doi/10.1073/pnas.1816541116
【7】Carmichael, J. T., & Brulle, R. J. (2021). The role of personal experience and prior beliefs in shaping climate change perceptions: A narrative review. Frontiers in Psychology, 12, 669911. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2021.669911/full
【14】Severe Weather Europe. (2026). Stratospheric Warming 2026: The Polar Vortex Split Meets a Massive Atmospheric Wave over North America. https://www.severe-weather.eu/global-weather/stratospheric-warming-2026-polar-vortex-forecast-atmospheric-mjo-interference-winter-united-states-canada-europe-fa
【16】Severe Weather Europe. (2026). Stratospheric Warming Confirmed: Polar Vortex Collapse to Bring Major Weather Disruption in the Coming Weeks. https://www.severe-weather.eu/global-weather/polar-vortex-collapse-february-2026-stratospheric-warming-forecast-winter-united-states-canada-europe-fa
【17】BBC Science Focus Magazine. (2026). Why do we still get major snowstorms in a warming world? https://www.sciencefocus.com/news/us-winter-storm-polar-vortex-climat-change
【21】Severe Weather Europe. (2026). Polar Vortex 2026 Update: New Stratospheric Warming Detected, Winter Shift Likely in January. https://www.severe-weather.eu/global-weather/new-stratospheric-warming-january-2026-polar-vortex-disruption-cold-united-states-canada-europe-fa
【24】Climate Central. (2025). 2025 Winter Package. https://www.climatecentral.org/climate-matters/2025-winter-package
【26】Yale Climate Connections. (2025). Update: How’s U.S. winter weather changing in a warming world? https://yaleclimateconnections.org/2025/02/update-hows-u-s-winter-weather-changing-in-a-warming-world/
【27】Climate Central. (2025). Data: U.S. Winter Temperature Trends. https://www.climatecentral.org/data/data-winter-package
【28】Climate Central. (2025). People Exposed to Climate Change: December 2024 to February 2025. https://www.climatecentral.org/climate-matters/winter-2025-global-attribution
【35】National Geographic. (2025). 2024 was the hottest year ever—but it might be the coldest year of the rest of your life. https://www.nationalgeographic.com/environment/article/shifting-baseline-syndrome-climate-change
【42】Soga, M., & Gaston, K. J. (2018). Shifting baseline syndrome: causes, consequences, and implications. Frontiers in Ecology and the Environment, 16(4), 222-230. https://esajournals.onlinelibrary.wiley.com/doi/10.1002/fee.1794
All links accessed by 26 February 2026.
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