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
A list of Precipitation Nowcasting papers and related resources.
Python Nowcasting
🪁 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
雷达回波外推，ConvLSTM，训练模型并外推。
High-performance time series econometrics: Rust core, Python-first API — validated estimators, a 15-chapter guide, and honest inference by default
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
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
TATHU is a Python package for tracking and analyzing the life cycle of convective systems.
pyFortraCC is a Python library for tracking and forecasting clusters.
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