microsoft / subseasonal_data
Data access package for the SubseasonalClimateUSA dataset
☆27Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for subseasonal_data
- Subseasonal forecasting models☆45Updated 2 weeks ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆20Updated 2 months ago
- ML Datasets Catalog☆55Updated last year
- ☆88Updated 7 months ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- Implementation of convolutional conditional neural processes for statistical downscaling☆29Updated 3 years ago
- Diffusion for climate downscaling☆38Updated 4 months ago
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated last month
- Ai2 Climate Emulator☆55Updated this week
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆31Updated 6 months ago
- ☆24Updated 8 months ago
- Starter Kit for the NeurIPS 2022 Weather4cast competition☆54Updated last year
- ☆20Updated last week
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆30Updated this week
- ☆20Updated 5 months ago
- Lorenz 1996 two time-scale model for learning machine learning☆38Updated this week
- A project-based learning course where teams of climate science and data science students collaborate to create machine learning predictiv…☆36Updated this week
- Testing out Diffusion-based models for weather and PV forecasting☆12Updated last month
- 🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others☆42Updated last month
- AtmoRep model code☆44Updated this week
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆27Updated last year
- ☆34Updated 4 months ago
- Official PyTorch implementation of "Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth …☆13Updated 2 years ago
- ☆16Updated 8 months ago
- ☆29Updated last year
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆72Updated last year
- ☆14Updated 5 months ago
- A Python package for tackling diverse environmental prediction tasks with NPs.☆94Updated last week
- ☆44Updated 3 weeks ago
- A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets…☆40Updated last year