NASA-IMPACT / Prithvi-WxC
Implementation of the Prithvi WxC Foundation Model and Downstream Tasks
☆134Updated 3 weeks ago
Alternatives and similar repositories for Prithvi-WxC:
Users that are interested in Prithvi-WxC are comparing it to the libraries listed below
- Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.☆150Updated this week
- Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI mod…☆221Updated 3 months ago
- ☆54Updated this week
- NeuralGCM's differentiable dycore☆257Updated 2 weeks ago
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆38Updated 4 months ago
- Ai2 Climate Emulator☆88Updated last month
- Run AI NWP forecasts hassle-free, serverless in the cloud!☆112Updated 11 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆82Updated 3 weeks ago
- Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.☆66Updated 10 months ago
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆97Updated last month
- Research Software for Neural Weather Prediction for Limited Area Modeling☆147Updated last month
- A Python package for tackling diverse environmental prediction tasks with NPs.☆104Updated 2 weeks ago
- A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeathe…☆31Updated 2 weeks ago
- Finetuning Prithvi WxC - Climate Model Parameterization for Gravity Wave Flux☆17Updated 5 months ago
- [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion☆26Updated 2 weeks ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆90Updated 7 months ago
- PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.0…☆227Updated this week
- Implementation of the Aurora model for Earth system forecasting☆314Updated this week
- ☆62Updated last year
- An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.☆148Updated last month
- Subseasonal forecasting models☆49Updated last month
- ☆76Updated 5 months ago
- ☆40Updated 2 months ago
- Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch☆211Updated last year
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆34Updated 10 months ago
- Diffusion for climate downscaling☆52Updated 8 months ago
- ☆21Updated last year
- A Python package for Earth forecasting transformer☆81Updated 8 months ago
- Source code for ClimateLearn☆328Updated last year