Weather forecasting is getting cheaper and more accurate. An AI model named Aurora used machine learning to outperform current weather prediction systems, researchers report May 21 in Nature. Aurora ...

As Hurricane Lee was curving northward to the west of Bermuda in mid-September of last year, forecasters were busily consulting weather models and data from hurricane-hunter aircraft to gauge where ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...

In the 20 years since Hurricane Katrina devastated New Orleans, hurricane scientists have made great strides toward understanding how climate change influences tropical cyclones, at the same time as ...

Economic forecasting has never been easy, and it becomes even more challenging when faced with unprecedented events like COVID-19 lockdowns and extraordinary levels of fiscal and monetary intervention ...

PV yield forecasts are widely considered to be inaccurate, partly because they underestimate uncertainty. Image: Tilt Renewables. The uncertainty in energy yield forecasts is frequently underestimated ...

Using a large cross-country dataset covering over 150 countries and more than 10 macroeconomic variables, this study examines the consistency of IMF World Economic Outlook (WEO) forecasts with the ...

A major winter storm will bring frigid cold and to tens of millions this weekend, but why is it so hard to pin down who will get snow, ice or rain? A major winter storm is coming together over the U.S ...