Python framework for short-term ensemble prediction systems.

If you can measure it, consider it predicted

Nowcasting

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

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。

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

Satellite Optical Flow with machine learning models

Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.

Using optical flow & machine learning to predict PV yield

LSTM neural networks for nowcasting economic data.

Code accompanying our IARAI Weather4cast Challenge

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

Python code for downloading PV data from PVOutput.org

Globalized version of the Rt-live model.

Experimental tools (R) for Big Data econometrics nowcasting and early estimates

Code to create rich harmonised geographic data for PV installations from OpenStreetMap and other sources