Python framework for short-term ensemble prediction systems.

If you can measure it, consider it predicted

A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954

Nowcasting

A list of Precipitation Nowcasting papers and related resources.

Python Nowcasting

Front End repo for the Nowcasting project.

🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API.

雷达回波外推，ConvLSTM，训练模型并外推。

(Journal of Hydrology 2025) U-RNN High-resolution spatiotemporal nowcasting of urban flooding

LSTM neural networks for nowcasting economic data.

Satellite Optical Flow with machine learning models

A modular Bayesian framework for real-time infectious disease surveillance. Provides tools for nowcasting, reproduction number estimation, delay estimation, and forecasting from data subject to reporting delays, right-truncation, missing data, and incomplete ascertainment

Using optical flow & machine learning to predict PV yield

Code accompanying our IARAI Weather4cast Challenge

Satip contains the code necessary for retrieving, transforming and storing EUMETSAT data

pyFortraCC is a Python library for tracking and forecasting clusters.

TATHU is a Python package for tracking and analyzing the life cycle of convective systems.

Python code for downloading PV data from PVOutput.org