Every year from May through October, the United States enters what climate scientists and emergency managers now call “Danger Season,” a six-month gauntlet of compounding climate hazards when ...

Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

Former NOAA staffers have launched a new website that provides climate information. It replaces a government site that was ...

Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...

We introduce LaDCast, the first latent diffusion model for ensemble weather forecasting. It showcases the feasibility of using the latent approach for weather forecasting, which is an alternative ...

The power of Python trumps Excel workbooks.

The Weather Channel has launched a "RetroCast" feature on its website. The tool recreates the network's 1980s and 1990s local forecast style using current weather data. RetroCast includes classic ...

This localized model aims to provide more accurate forecasts than broader, statewide systems. Athens' unique geography and distance from National Weather Service radar make localized forecasting ...

Microsoft’s research arm has long been fascinated with working with large amounts of data at scale. Projects like TerraServer explored how to search and display geospatial data, mixing mapping and ...

This GitHub repository contains the code, data, and figures for the paper RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models. Also includes the SCBC and RCE experiments ...

Improving our ability to forecast the weather and climate is of interest to all sectors of the economy and to government agencies from the local to the national level. Weather forecasts zero to ten ...