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'Big Data Assimilation' Revolutionizing Severe Weather Prediction
- Source :
- Bulletin of the American Meteorological Society. 97:1347-1354
- Publication Year :
- 2016
- Publisher :
- American Meteorological Society, 2016.
-
Abstract
- Sudden local severe weather is a threat, and we explore what the highest-end supercomputing and sensing technologies can do to address this challenge. Here we show that using the Japanese flagship “K” supercomputer, we can synergistically integrate “big simulations” of 100 parallel simulations of a convective weather system at 100-m grid spacing and “big data” from the next-generation phased array weather radar that produces a high-resolution 3-dimensional rain distribution every 30 s—two orders of magnitude more data than the currently used parabolic-antenna radar. This “big data assimilation” system refreshes 30-min forecasts every 30 s, 120 times more rapidly than the typical hourly updated systems operated at the world’s weather prediction centers. A real high-impact weather case study shows encouraging results of the 30-s-update big data assimilation system.
- Subjects :
- Atmospheric Science
010504 meteorology & atmospheric sciences
Severe weather
Meteorology
business.industry
Big data
Unified Model
010502 geochemistry & geophysics
Supercomputer
Grid
01 natural sciences
law.invention
law
Climatology
Weather Research and Forecasting Model
Environmental science
Weather radar
Radar
business
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 15200477 and 00030007
- Volume :
- 97
- Database :
- OpenAIRE
- Journal :
- Bulletin of the American Meteorological Society
- Accession number :
- edsair.doi...........68e6d8ca0d48f31c3ca51e9fa8398bb8