microsoft / subseasonal_toolkitLinks
Subseasonal forecasting models
☆56Updated 11 months ago
Alternatives and similar repositories for subseasonal_toolkit
Users that are interested in subseasonal_toolkit are comparing it to the libraries listed below
Sorting:
- This repository contains the code and data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".☆53Updated 3 months ago
- Benchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.☆91Updated this week
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆92Updated 2 years ago
- post-processing experiments with neural networks☆63Updated 4 years ago
- Data access package for the SubseasonalClimateUSA dataset☆36Updated last year
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆37Updated 2 years ago
- ML Datasets Catalog☆60Updated 2 years ago
- ☆110Updated last year
- Run AI NWP forecasts hassle-free, serverless in the cloud!☆116Updated last year
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆94Updated 10 months ago
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆32Updated last month
- Ai2 Climate Emulator: fast machine learning models for weather and climate prediction☆166Updated this week
- A modular framework for evaluating weather forecasts☆174Updated this week
- A Python package for tackling diverse environmental prediction tasks with NPs.☆119Updated last week
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆105Updated 10 months ago
- Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)☆24Updated last week
- ☆40Updated 4 years ago
- ☆35Updated 2 years ago
- ☆45Updated last year
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆40Updated 9 months ago
- Climate Analytics using Deep Neural Networks in Python.☆66Updated 2 years ago
- A MetNet implementation in Pytorch and fastai☆31Updated 4 years ago
- ☆60Updated this week
- Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.☆29Updated 6 months ago
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆90Updated 3 months ago
- Satellite Optical Flow with machine learning models☆63Updated 2 years ago
- ☆13Updated 4 years ago
- material for the CSU-led machine learning tutorial for earth science research☆91Updated 3 years ago
- ☆33Updated last week
- Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…☆13Updated 5 years ago