Recent activities on ?Big Data Assimilation? in Japan

TAKEMASA MIYOSHI; MASARU KUNII; JUAN RUIZ; HIROMU SEKO; SHINSUKE SATOH; TOMOO USHIO; YUTAKA ISHIKAWA; HIROFUMI TOMITA; KOTARO BESSHO

Montreal

Congreso; World Weather Open Science Conference; 2014

World Meteorological Organization

In 2013, the Japanese government started a strategic funding program for the Big Data science, specifically fundamental technological developments and big data applications. One of the two proposals awarded in the field of big data application was ?Big Data Assimilation? for super-rapid 30-second cycle of an ensemble Kalman filter aiming at local severe weather forecasting at a 100-m resolution with 30- minute lead time. This presentation will discuss the concept and recent progress using the Japanese 10- Peta-Flops K computer and Phased Array Weather Radar.