Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

Ideally, AI and machine learning will allow human forecasters to do their jobs more efficiently, spending less time on generating routine forecasts and more on communicating forecasts ...

It’s what is going on behind-the-scenes at Dark Sky, which is experimenting with machine learning and UX that could radically alter how we view and understand the weather.

The study emphasises the role of collaborative efforts in technological advancements. “Bringing together expertise in machine learning and renewable energy forecasting has helped create a tool ...

This improved forecast scores, as shown here for 500 hPa geopotential in the northern hemisphere for 2022 (higher means better). The other lines show the performance of ECMWF's Integrated Forecasting ...

The technology we use for weather forecasts has greatly improved over the past decade. ... With some help from machine learning, Google thinks it can help make weather forecasting faster than ever.

FuXi-S2S, a new machine learning model, improves weather forecasting by predicting global daily weather up to 42 days in advance. Trained on 72 years of data, it surpasses existing models in ...

Google DeepMind researchers claim they’ve used machine learning to devise a model that can deliver better 15-day weather forecasts and requires only modest quantities of compute resources to ...