Tornado Forecasting Pushes Scientific Limits
Norman Doppler Radar installation. June, 1973.
OAR/ERL/National Severe Storms Laboratory (NSSL)/NOAA via Flickr
(Inside Science) -- Ernest Fawbush and Robert Miller made the first ever tornado forecast in March of 1948 using only paper, pencil, and a World War II-era radar -- but tornado forecasting has changed dramatically since that initial forecast 63 years ago.
Meteorologists now use satellites and complicated mathematical models to make their forecasts. Tornadoes, however, remain as deadly and unpredictable as ever. To date, the 2011 U.S. season has been one of the deadliest on record; aMay 24 storm in Joplin, Mo.
Scientists are attacking the forecast problem by improving both the radar systems used to visualize and track storms and the mathematical models used to make predictions. Although the array of radars across the U.S. is more sophisticated than the one used by Fawbush and Miller, they operate in much the same way. A mechanical, rotating dish sends out pulses of radio waves that are reflected or scattered by clouds, raindrops, and hail.
The advent of Doppler radar in the 1990s gave meteorologists the ability not only to see current weather conditions, but also to see where the storms likely were heading, and how quickly. Doppler radars also let meteorologists see if the storm is beginning to spin, which dramatically increases the chance a tornado will form. With this knowledge, meteorologists could provide more advance warning to the people in the likely path of the storm.
Even the most advanced Doppler radars take nearly five minutes to make a single 360-degree sweep of the sky. This means information about tornado activity can only be updated every five minutes.
“In storms that are producing a tornado, things happen very, very quickly,” often in a matter of seconds, said Harold Brooks
One of Brooks’ colleagues, David Stensrud
Stensrud said that in order to increase warning times, “you need to predict the storms before they become severe.”
By gathering data more frequently, the new radar systems will allow meteorologists to better predict the onset of severe weather. The National Severe Storms Laboratory believes these new radar systems will be ready for government use in about ten years.
But meteorologists don’t make forecasts based on radar data alone. They also use mathematical models to make their predictions, inputting basic data like humidity, temperature, and wind speed. The equations take this data and, using the laws of physics, show what the weather might look like in a few hours. Meteorologists update their forecast by adding current conditions to their model. Knowledge of climate conditions is rarely complete, and even small amounts of uncertainty can dramatically change a forecast.
Incorporating this uncertainty into mathematical models can allow meteorologists to give more weight to the data they know are accurate, said Ross Hoffman, chief scientist at Atmospheric and Environmental Research
Tornado forecasting may continue to defy even the most sophisticated radars and mathematical equations. The average tornado forms in a chaotic and fast-changing environment, typically lasting for only a few minutes. It’s one thing to predict that conditions are ripe for a tornado. It’s quite another to predict when and where a tornado will strike.
“Forecasting an actual tornado doesn’t seem feasible now,” Hoffman said. “But with advances in computing and electronics, who knows how much further we can go.”