Engineers at Google DeepMind have created a new model that can predict the likelihood of precipitation in the coming hours.
DeepMIND, a Google AI-focused business, has developed a new model that takes precipitation nowcasting to the next level.
Engineers can now use it to forecast the likelihood of meteorological events in the coming hours.
Google DeepMind Introduces A New Precipitation Probability Generative Model
We used to rely solely on weather forecasts from the news. We used to pack umbrellas and other protective gear to protect ourselves from adverse weather in order to be more prepared.
With natural catastrophes occurring all around the world, predicting when one will strike a town may be difficult. However, not all current meteorological technologies can accurately predict precipitation.
Engineers from Google DeepMind have created a new precipitation model with excellent accuracy, according to a report published by Science Alert on Friday, October 1.
This approach produced promising results in the field of artificial intelligence in 89 percent of situations. Machine learning is used in generative modeling to produce more trained data for nowcasting.
The Deep Generative Model of Rainfall, or DGMR, has been discovered to be a reliable precipitation forecasting method. This model has the potential to provide results in the next hour or two.
The AI-centered partnership, according to the Google DeepMind Nowcasting team’s blog, will create greater options addressing future environmental concerns.
There are some flaws in the weather prediction model as well.
Even though machine learning is frequently used in weather prediction models, there is still room for improvement.
According to DeepMind’s staff research scientist Suman Ravuri, “although we look at the accuracy of the new model when it comes to precipitation, the challenge was shown to be doing poorly around zero to two hours.”
Meanwhile, UK meteorologists praised the DeepMind model’s development. The researchers could use it in the future to analyze present weather forecast tendencies.
There are still some improvements that the Google DeepMind team believes should be included in future models.
In the long run, the researchers hope to improve the accuracy of DGMR.
Last Wednesday, Sept. 29, the study “Skilful precipitation nowcasting using deep generative models of radar” was published on Nature.com.
Drones May Aid Airborne Seeding, But Only If Enough Seeds GrowWeather Prediction Models Many Years Ago The researchers developed a meteorological model in 2016 that may forecast bigger but lesser storms in the US. The results were influenced by the presence of carbon dioxide in the atmosphere.
The model also predicted that storms would appear in the coming years. News from Brinkwire in a nutshell.