ecmwf-lab / ai-models-graphcast
☆73Updated 4 months ago
Alternatives and similar repositories for ai-models-graphcast:
Users that are interested in ai-models-graphcast are comparing it to the libraries listed below
- ☆95Updated 4 months ago
- ☆21Updated last year
- A cascade machine learning forecasting system for 15-day global weather forecast☆106Updated last year
- ☆443Updated 3 weeks ago
- ☆48Updated 9 months ago
- Run AI NWP forecasts hassle-free, serverless in the cloud!☆112Updated 10 months ago
- with Pangu-weather, FourCastNet v1 v2, GraphCast, and Aurora model☆22Updated last month
- Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI mod…☆214Updated 2 months ago
- ☆62Updated last year
- Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.☆62Updated 9 months ago
- Subseasonal forecasting models☆47Updated 2 weeks ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆88Updated 6 months ago
- Research Software for Neural Weather Prediction for Limited Area Modeling☆137Updated this week
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆91Updated last year
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆36Updated 2 months ago
- Ai2 Climate Emulator☆81Updated last week
- ☆40Updated 2 months ago
- 🌍 A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)☆221Updated this week
- Validation of the Pangu Weather Forecasting Model against Real-World Meteorological Observations☆67Updated 11 months ago
- PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.0…☆218Updated last week
- ☆44Updated this week
- Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.☆136Updated 3 weeks ago
- ☆89Updated 9 months ago
- post-processing experiments with neural networks☆61Updated 3 years ago
- Extreme weather detection and characterization☆98Updated this week
- Diffusion for climate downscaling☆50Updated 7 months ago
- PyTorch Implementation of Google Research's MetNet and MetNet-2☆252Updated last week
- ☆23Updated this week
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆94Updated last year
- Deep learning approaches for statistical downscaling in climate☆71Updated 2 years ago