It doesn’t take a geoscientist to know that severe weather impacts our lives. Tornadoes, hurricanes, windstorms, solar storms, droughts … the list goes on.
Tornadoes are notoriously difficult to forecast, with often deadly results: In 2011, tornadoes in the U.S. killed more than 550 people, a higher death toll than in the past 10 years combined. Now a new study of short-term climate trends offers a new approach to tornado forecasting that may give people in tornado-prone regions as much as a month of forewarning that twisters may soon be descending.
On March 14, 2008, at 9:38 p.m., something happened in Atlanta that had never happened in the city’s 171-year history: A tornado ripped through a 10-kilometer-long swath of the city’s downtown. The twister, with winds reaching 210 kilometers per hour, blew out skyscraper windows and stalled a major college basketball conference tournament.
Government research and development has its limits: Time, money and bureaucracy can all hamper the timely progress of research. As a result, many federal agencies are looking to private companies to help drive new innovation and keep costs down — but it’s never that simple. Two current hot-button topics — returning humans to space and geoengineering — highlight a range of issues related to how private and public investment in science can coexist. Last month, we looked at NASA’s push toward privatization.
Predicting the weather has been central to human civilization since the Babylonians started studying cloud patterns in 650 B.C. The key to weather predictions is making correct assumptions. Today, instruments like Doppler radar that measure rainfall work under the assumption that raindrops fall at their terminal velocity. A new study, however, shows that some raindrops fall faster than they should, indicating rainfall instruments — and by extension, weather forecasts — may need some tweaking.
A huge thunderstorm was gathering above central Oklahoma on May 20, 1977. As the storm intensified, a tornado began to form and struck the ground, leaving wreckage in its path. Although the tornado itself is now well-known, the forces behind its formation are still surprisingly sketchy. Using high-resolution modeling, however, a new study reveals how some atmospheric conditions can make tornadoes more — or less — likely to form.
If you ask someone involved in community remote sensing to define the emerging field, the most likely response will be a chuckle followed by “That’s a hard question to answer…”