The availability of spatially and temporally consistent rainfall observation data is needed in various fields. Fields of research related to hydrometeorology are no exception. The limitations of ...

German software company PVRadar Labs has released a Python programming package for solar asset owners and engineers that want to build site-specific models.

Real-time flood forecasting of small- and medium-sized rivers in areas with scarce hydrological data is an urgent problem that needs to be solved. Traditional hydrological model parameters cannot be ...

This example processes data from multiple rainfall stations, interpolates over a catchment shapefile (aricanduva), and writes a precipitation file in CSV format compatible with cafloodr.

Kansas City rainfall: See how much rain fell across the metro, including Northland and Wyandotte County, with detailed 24-hour storm data.

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

On 1,200 acres of cornfield in Indiana, Amazon is building one of the largest computers ever for work with Anthropic, an artificial intelligence start-up.

Python Radar Data Processing. Contribute to MeteoSwiss/pyrad development by creating an account on GitHub.