nowcasting

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.

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

High-performance time series econometrics: Rust core, Python-first API — validated estimators, a 15-chapter guide, and honest inference by default

雷达回波外推，ConvLSTM，训练模型并外推。

LSTM neural networks for nowcasting economic data.

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

Satellite Optical Flow with machine learning models

Using optical flow & machine learning to predict PV yield

Code accompanying our IARAI Weather4cast Challenge

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

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

Home Assistant integration for personal weather stations: frost point, heat stress, ET₀ irrigation, fire danger, and rain, frost and gust chances learned from your own station.