Welcome to the AIESDA Wiki

AIESDA (Artificial Intelligence based Earth System Data Assimilation) is a next-generation framework designed to integrate AI Foundation Models into traditional Numerical Weather Prediction (NWP) and Data Assimilation (DA) workflows. The goal of this project is to provide Data Assimilation engine based on JEDI and to bridge it seamlessly with Dynamical Forecast Systems (Bharat, Mithuna) as well as cutting-edge AI Foundation Models (GraphCast, Pangu-Weather, etc.).

Modular and Object Oriented Design

Seperation of concern

Entry Level Data Identity Verification

git clone https://github.com/NCMRWF/aiesda.git
cd aiesda
make install

🏠 Home

🏗️ Architecture

🪜 Development Roadmap

🛠 Contribution Guide