Researchers from Rice University have introduced a data-driven framework that formulates extreme weather prediction as a pattern recognition problem, employing state-of-the-art deep learning ...

Recent advancements in deep learning have significantly transformed weather recognition, enabling more accurate and real‐time interpretation of meteorological conditions from visual data. Techniques ...

Extreme weather events are increasing, and utilities and customers alike are feeling the impact. According to Climate Central, the United States has experienced a 67% increase in major power outages ...

Machine learning models are taking over in the field of weather forecasting, from a quick “how long will this rain last” to a 10-day outlook, all the way out to century-level predictions. The ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

Recently, the popular weather app Dark Sky launched a website version of its platform, and at first glance, it didn’t look much different than the mobile version. There are some advanced deep-dive ...

Several months after acquiring The Weather Company's B2B data business, IBM is showing how it's putting that data to work. The Weather Company on Wednesday announced it's launching a hyper-local, ...

When it comes to weather, “looks pretty good” is not a PIREP (pilot report) or a weather briefing, but that’s a phrase you often hear at the airport. I find this irksome as one of the first skills a ...