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AI model shows promise to generate faster, more accurate weather forecasts

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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.
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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. ....

Jonathan Weyn , Dale Durran , Microsoft Research , University Of Washington , Department Of Defense , Rich Caruana At Microsoft Research , Us Office Of Naval Research , Modeling Earth , Rich Caruana , Naval Research , டேல் துரிரன் , மைக்ரோசாஃப்ட் ஆராய்ச்சி , பல்கலைக்கழகம் ஆஃப் வாஷிங்டன் , துறை ஆஃப் பாதுகாப்பு , பணக்கார காரோண இல் மைக்ரோசாஃப்ட் ஆராய்ச்சி , எங்களுக்கு அலுவலகம் ஆஃப் கடற்படை ஆராய்ச்சி , மாடலிங் பூமி , பணக்கார காரோண , கடற்படை ஆராய்ச்சி ,

Environmental News Network - 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.
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 A.I. 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 ....

Microsoft Research , University Of Washington , Modeling Earth , மைக்ரோசாஃப்ட் ஆராய்ச்சி , பல்கலைக்கழகம் ஆஃப் வாஷிங்டன் , மாடலிங் பூமி ,

A.I. model shows promise to generate faster, more accurate weather forecasts

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. ....

Jonathan Weyn , Dale Durran , Microsoft Research , University Of Washington , Department Of Defense , Rich Caruana At Microsoft Research , Us Office Of Naval Research , Modeling Earth , Learning Weather , Rich Caruana , Naval Research , டேல் துரிரன் , மைக்ரோசாஃப்ட் ஆராய்ச்சி , பல்கலைக்கழகம் ஆஃப் வாஷிங்டன் , துறை ஆஃப் பாதுகாப்பு , பணக்கார காரோண இல் மைக்ரோசாஃப்ட் ஆராய்ச்சி , எங்களுக்கு அலுவலகம் ஆஃப் கடற்படை ஆராய்ச்சி , மாடலிங் பூமி , கற்றல் வானிலை , பணக்கார காரோண , கடற்படை ஆராய்ச்சி ,