What are meteorologists supposed to do when the models they rely on disagree so sharply? And how should you interpret the forecast?

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...

Master projectile motion simulations using Python functions! 🐍⚡ This tutorial walks you through coding techniques to model trajectories, calculate distances, and visualize motion in real time.

Data collection and analysis in solar PV installations is increasingly sophisticated, particularly relating to grid ...

WTForecast has done a lovely thing by bringing a little laughter and levity to the coldest winter days. Whether you’re ...

The Jimu 1 aerostat conducts a scientific mission in Lunang township, Xizang autonomous region, on Thursday. PALDEN NYIMA/CHINA DAILY Chinese scientists have completed a series of tethered balloon ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

Abstract: Many supply chain processes involve weather-sensitive outdoor activities, e.g., transportation or construction. However, research in forecast-driven methods that not only provide alerts but ...

In the run-up to the winter storm currently pummeling much of the U.S., weather forecasts for some regions were all over the map, with snowfall predictions varying wildly. Nvidia couldn’t have timed ...

OKLAHOMA CITY (KFOR) – Drones are about to further impact the future of weather forecasting. The Oklahoma Climatological Survey is the eyes in the sky to gather lots of data and develop a 3D system to ...

Meteorologists frequently mention weather prediction models in their forecasts. They explain what they’re gleaning from the “U.S. Model,” for instance, and how that might differ from the “European ...