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New Forecasting Tool Eyed for Hurricane Season

Date:
May 23, 2013
Source:
AP / Powered by NewsLook.com
Summary:
After storms like Sandy inundated coastal areas last year, forecasters have developed an experimental model to show potential areas of impact in a deadly "storm surge."


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last updated on 2014-07-31 at 11:59 am EDT

Drones to Study Hurricane 'Goldilocks Situation'

Drones to Study Hurricane 'Goldilocks Situation'

AP (May 27, 2014) — It's called the Goldilocks Situation -- some storms are too moist, some are too dry, and others -- are just right to quickly intensify. This summer, a new military drone will penetrate hurricanes to help solve a storm forecasting problem. (May 27) Video provided by AP
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Big Data Weather: Tracking Tornadoes Goes High Tech

Big Data Weather: Tracking Tornadoes Goes High Tech

FORA.tv (May 9, 2013) — Kelvin Droegemeier's research involves the dynamics and predictability of severe thunderstorms and tornadoes. He helped pioneer the science of storm-scale numerical weather forecasting, leading the early development of the world's first atmospheric computer model capable of assimilating Doppler radar and other data for explicitly predicting high-impact local weather such as individual thunderstorms. High performance computing has played a key role in Droegemeier's career as an educator and scientist, and during the past decade he helped establish two supercomputing centers at the University of Oklahoma and served on NSF's Blue Ribbon Panel on Cyberinfrastructure.
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Predictive Models for Farmers: Contributing to Sustainable Agriculture

Predictive Models for Farmers: Contributing to Sustainable Agriculture

Deutsche Welle (Oct. 13, 2013) — Agricultural scientists at the University of Kiel are developing forecasting models for the use of pesticides. They're based on long-term studies of weather patterns, plant diseases and the condition of agricultural crops.The models allow farmers to see when the use of pesticides is necessary to combat certain fungi and pests and when they can be avoided. That's helping to protect the environment without endangering harvests.
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In the Studio: Prof. Danijel Schorlemmer, Seismologist

In the Studio: Prof. Danijel Schorlemmer, Seismologist

Deutsche Welle (Mar. 21, 2011) — Prof. Schorlemmer from the German Research Centre for Geosciences, GFZ, in Potsdam is an expert in the area of earthquake forecasting.DW-TV: Japan is a society that has played a pioneering role in a wide number of technologies -- including of course earthquake warning systems. But even then, people have just five seconds after the warning comes to brace themselves. Cutting straight to the chase, thousands of detection stations around the world, international networks, decades of research -- why can't we predict earthquakes yet? Danijel Schorlemmer: Well, even though we have thousands of stations, we have a big problem. We only measure the signals on the earth’s surface. Unlike in meteorology, where you can measure all the values you’re interested in, like humidity, wind-speed and so on in 3-D, we only see the earth’s surface. We cannot make measurements in the earth, which would be very important to understand what’s going on. And we’re also lacking a precursor phenomenon, a
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