Tag Archives: historical data

IBM Big Data Technology Helps South Korea’s Meteorological Administration Increase Accuracy of Weather Forecasting

By Guest PostFebruary 27, 2013Technologyaircraft, balloons, barometric pressure readings, big data, cheollian, data per second, data storage system, environmental conditions, environmental problems, gigabytes, gpfs, gyoung hyun lee, high capacity data, historical data, hwangsa, ibm, ibm korea, images, jung uk tak, kma, meteorological administration, meteorological data, meteorological satellite, mongolia, natural disasters, nmsc, northern china, observations from satellites, petabytes, predictive environmental forecasting, real time analysis, sand storms, ships, south korea, spring season, technologies on earth, temperature, terabytes, trajectory, typhoon, wind speeds

South Korea’s most powerful data storage system helps tackle weather’s data deluge

Seoul, SOUTH KOREA – 27 Feb 2013: South Korea’s Meteorological Administration (KMA) and IBM today announced a project to help KMA and its affiliate, the National Meteorological Satellite Center (NMSC), tackle Big Data for better, more accurate and predictive environmental forecasting.

As South Korea’s national meteorological organization, KMA’s mission is to protect citizens’ lives and property from natural disasters and support economic activities sensitive to environmental conditions. (more…)

Researchers Devise More Accurate Method for Predicting Hurricane Activity

By Guest PostSeptember 14, 2012Environmentalok choudhary, cross validation, factor, forecasting, fredrick semazzi, historical data, humidity, hurricane season, method, model, motif based, nagiza samatova, network, north atlantic, north Carolina, seasonal hurricane, state university, statistical method, temperature, united states, william hendrix, zhengzhang chen

Researchers from North Carolina State University have developed a new method for forecasting seasonal hurricane activity that is 15 percent more accurate than previous techniques.

“This approach should give policymakers more reliable information than current state-of-the-art methods,” says Dr. Nagiza Samatova, an associate professor of computer science at NC State and co-author of a paper describing the work. “This will hopefully give them more confidence in planning for the hurricane season.” (more…)