Together, these advancements have resulted in steady improvement over the years in the overall accuracy of weather ...

(MENAFN- IANS) Bhubaneswar, Aug 13 (IANS) The Indian Institute of technology (IIT)-Bhubaneswar has developed a hybrid Technology integrating the output from the Weather Research and Forecasting ...

Bhubaneswar: The Indian Institute of Technology (IIT)-Bhubaneswar has developed a hybrid technology integrating the output from the Weather Research and Forecasting (WRF) model into a deep ...

Traditional forecasting relies upon a method called numerical weather prediction. This physics-based technique, developed in the 1950s, requires multimillion–dollar supercomputers capable of ...

The Indian Institute of Technology (IIT) Bhubaneswar has developed a hybrid technology that integrates the output from the Weather Research and Forecasting (WRF) model into a deep learning (DL) model ...

Aardvark Weather model can generate forecasts in seconds with just a fraction of ... “By shifting weather prediction from supercomputers to desktop computers, we can democratise forecasting, ...

Climate scientists are building artificial intelligence (AI) into traditional weather forecasting methods in East Africa to improve the accuracy of extreme weather predictions with minimal cost.

VANCOUVER, British Columbia, May 27, 2025 (GLOBE NEWSWIRE) -- ZenaTech, Inc. (Nasdaq: ZENA) (FSE: 49Q) (BMV: ZENA) ("ZenaTech"), a technology company specializing in AI (Artificial Intelligence ...

NOAA’s newest model they hope to make operational in 2026 will have a resolution of 1.8 miles by 1.8 miles. This means there will be about 525 smaller squares in the 1980s 50 mile by 50 mile model.

IIT Bhubaneswar Develops Hybrid Technology Using AI For Weather Forecasting The studies were carried out over the complex terrain of Assam. Published: August 13, 2024 12:50 AM IST ...

GenCast produced 15-day forecasts within eight minutes, and NVIDIA claims its FourCastNet is 45,000 times faster than numerical weather prediction. AI has also proven more accurate in predicting ...