AI
model shows promise to generate faster, more accurate weather forecasts
University
of Washington
Today s
weather forecasts come from some of the most powerful computers on Earth. The
huge machines churn through millions of calculations to solve equations to
predict temperature, wind, rainfall and other weather events.
A forecast s
combined need for speed and accuracy taxes even the most modern computers.
The
future could take a radically different approach. A collaboration between the
University of Washington and Microsoft Research shows how artificial
intelligence can analyze past weather patterns to predict future events, much
more efficiently and potentially someday more accurately than today s
By Hannah Hickey
Dec 21, 2020
Today’s weather forecasts come from some of the most powerful computers on Earth. The huge machines churn through millions of calculations to solve equations to predict temperature, wind, rainfall, and other weather events. A forecast’s combined need for speed and accuracy taxes even the most modern computers.
The newly developed global weather model bases its predictions on the past 40 years of weather data, rather than on detailed physics calculations.
The simple, data-based AI model can simulate a year’s weather around the globe much more quickly and almost as well as traditional weather models, by taking similar repeated steps from one forecast to the next, according to a paper in the
Artificial intelligence can analyze past weather patterns to predict future events, much more efficiently and potentially someday more accurately than today’s technology, researchers say.
Today’s weather forecasts come from some of the most powerful computers on Earth. The huge machines churn through millions of calculations to solve equations to predict temperature, wind, rainfall, and other weather events. A forecast’s combined need for speed and accuracy taxes even the most modern computers.
The newly developed global weather model bases its predictions on the past 40 years of weather data, rather than on detailed physics calculations.
The simple, data-based AI model can simulate a year’s weather around the globe much more quickly and almost as well as traditional weather models, by taking similar repeated steps from one forecast to the next, according to a paper in the
Loading video.
VIDEO: On the left is the new paper s Deep Learning Weather Prediction forecast. The middle is the actual weather for the 2017-18 year, and at right is the average weather for. view more
Credit: Weyn et al./ Journal of Advances in Modeling Earth Systems
Today s weather forecasts come from some of the most powerful computers on Earth. The huge machines churn through millions of calculations to solve equations to predict temperature, wind, rainfall and other weather events. A forecast s combined need for speed and accuracy taxes even the most modern computers.
The future could take a radically different approach. A collaboration between the University of Washington and Microsoft Research shows how artificial intelligence can analyze past weather patterns to predict future events, much more efficiently and potentially someday more accurately than today s technology.
Date Time
A.I. model shows promise to generate faster, more accurate weather forecasts
Today’s weather forecasts come from some of the most powerful computers on Earth. The huge machines churn through millions of calculations to solve equations to predict temperature, wind, rainfall and other weather events. A forecast’s combined need for speed and accuracy taxes even the most modern computers.
The future could take a radically different approach. A collaboration between the University of Washington and Microsoft Research shows how artificial intelligence can analyze past weather patterns to predict future events, much more efficiently and potentially someday more accurately than today’s technology.