grounded-weather-forecast is an open-source Python package that blends and bias-corrects weather forecasts from multiple providers using station-grounded techniques. It supports backtesting and is designed for meteorologists and data scientists working with weather data.
In the Frameworks & SDKs space, grounded-weather-forecast takes a focused approach. It focuses on improving the accuracy of weather forecasts by blending and bias-correcting outputs from multiple providers. It is built as an open-source project for weather data scientists and meteorologists. grounded-weather-forecast is open source under the Apache-2.0 license. It runs on the command line, and it can be self-hosted.
Behind grounded-weather-forecast is hbmartin, and it first shipped in 2026. Key capabilities include bias correction, forecast blending, and backtest leaderboard.
Summary written by a language model from the project’s public pages.
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