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Posted
  • Location: Home: Chingford, London (NE). Work: London (C)
  • Weather Preferences: Winter: cold and snowy. Summer: hot and sunny
  • Location: Home: Chingford, London (NE). Work: London (C)
Posted
PHYS.ORG

Being able to create accurate weather models for weather forecasting is essential for every aspect of the American economy, from aviation to shipping. To date, weather models have been primarily based ...

 

Posted
  • Location: Home: Chingford, London (NE). Work: London (C)
  • Weather Preferences: Winter: cold and snowy. Summer: hot and sunny
  • Location: Home: Chingford, London (NE). Work: London (C)
Posted
WWW.TELEGRAPH.CO.UK

As extreme weather events increase in number, an AI programme developed in the UK promises to save countless lives

 

Posted
  • Location: Islington, C. London.
  • Location: Islington, C. London.
Posted (edited)

What with it being noted how AI has set Google back on its emissions targets on the power to run all these machines, to the point of them being higher than they were in 2019, I can't help but feel this AI push will end up doing more harm than good... Especially ironic in the topic of weather and enviromentalism.

Edited by LetItSnow!
Posted
  • Location: Exeter
  • Weather Preferences: Warm and sunny!
  • Location: Exeter
Posted

 LetItSnow! The costs of running an AI model in terms of energy and time are many orders of magnitude less than a traditional NWP model.  The cost of training is high, but it's not clear how often (or if at all) this needs retraining.  If these models really have captured the underlying physics (and it is appearing in an increasing number of papers it has) then retraining/fine-tuning will be infrequent.  The existing AI models haven't been retrained at all, and their forecasts produce use about 10,000 times less energy.

  • Like 2
  • Insightful 1
Posted
  • Location: Islington, C. London.
  • Location: Islington, C. London.
Posted

 Earthshine Oh, well, good then. But AI in other areas has proven to be a problem. That's why I wondered.

Posted
  • Location: Leighton Buzzard, Central Bedfordshire
  • Weather Preferences: Just take whatever is offered.
  • Location: Leighton Buzzard, Central Bedfordshire
Posted

 Earthshine I'm impressed with them, they seem to be verifying very well indeed.   

Posted
  • Location: Ireland - East Coast
  • Location: Ireland - East Coast
Posted

 LetItSnow! Its possible that AI will increase efficiencies in production such that AI will cause a reduction in carbon output. That's what I am expecting. Obviously there is a ramp up to get the data centers operational, but the application of AI is in it's infancy.

Posted
  • Location: Islington, C. London.
  • Location: Islington, C. London.
Posted

 Downburst From what I can see, the emissions generated to having to store AI is a problem but could be mitigated if ran solely off renewable energy. Doesn’t help there’s been a frenzy with AI generated images creating not just those problems but moral ones too. I think AI, like its creators, is imperfect and nuance needs to be had when talking about it. It’s up to us whether it ends up being a helpful tool or a terrible tool. 

Posted
  • Location: Leighton Buzzard, Central Bedfordshire
  • Weather Preferences: Just take whatever is offered.
  • Location: Leighton Buzzard, Central Bedfordshire
Posted

 LetItSnow! I would say at the moment AIFS is doing very well and will probably take the place of the existing models..  

Posted
  • Location: Home: Chingford, London (NE). Work: London (C)
  • Weather Preferences: Winter: cold and snowy. Summer: hot and sunny
  • Location: Home: Chingford, London (NE). Work: London (C)
  • 3 weeks later...
Posted
  • Location: Home: Chingford, London (NE). Work: London (C)
  • Weather Preferences: Winter: cold and snowy. Summer: hot and sunny
  • Location: Home: Chingford, London (NE). Work: London (C)
Posted (edited)
WWW.TELEGRAPH.CO.UK

AI tool could be able to show heat differences between one end of a street and the other

A research team led by the Met Office used data from previous heatwaves in London to develop a machine-learning tool that could predict temperatures on a 100-metre grid. The results were 225 times more detailed than its standard forecasts. The study found that machine-learning methods of forecasting urban heat improved prediction of air temperatures by up to 11 per cent compared with the original weather forecast data.

Screenshot2024-08-13at18_40_52.thumb.png.adbd790737cdd858711022af77c379e4.png

 

Edited by danm
  • Thanks 2
  • 4 weeks later...
Posted
  • Location: Home: Chingford, London (NE). Work: London (C)
  • Weather Preferences: Winter: cold and snowy. Summer: hot and sunny
  • Location: Home: Chingford, London (NE). Work: London (C)
Posted
BLOG.METOFFICE.GOV.UK

Reporting on progress of the Met Office and Alan Turing Institute AI for Numerical Weather Prediction project.  The UK's weather is notoriously changeable, prompting everything from casual...

 

  • Thanks 1

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