kitamoto-lab / digital-typhoon
Digital Typhoon Dataset
☆29Updated 5 months ago
Alternatives and similar repositories for digital-typhoon:
Users that are interested in digital-typhoon are comparing it to the libraries listed below
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆23Updated last month
- EarthNet Models PyTorch - Deep Neural Networks for geospatial vegetation forecasting.☆33Updated 6 months ago
- ☆25Updated 8 months ago
- Code for Benson et. al., CVPR (2024) - Multi-modal learning for geospatial vegetation forecasting☆49Updated 10 months ago
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆37Updated 11 months ago
- Starter Kit for the NeurIPS 2023 Weather4cast competition☆16Updated last year
- ☆11Updated last year
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆34Updated 2 years ago
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆39Updated this week
- Code for working with the SEVIR weather dataset☆32Updated 3 years ago
- Testing out Diffusion-based models for weather and PV forecasting☆14Updated last month
- ☆41Updated last year
- A Python package for Earth forecasting transformer☆86Updated 9 months ago
- ☆40Updated 3 years ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆85Updated 2 months ago
- IGARSS 2024 Tutorial "A Practical Session on Deep Learning Advances for Monitoring and forecasting Natural Hazards"☆26Updated 10 months ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- ☆28Updated this week
- ☆24Updated last year
- ☆57Updated 3 months ago
- Data access package for the SubseasonalClimateUSA dataset☆30Updated 6 months ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆17Updated 3 years ago
- ☆22Updated 2 weeks ago
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆30Updated 2 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆91Updated 9 months ago
- DeepR: Deep Reanalysis☆25Updated last year
- Teleconnection-driven vision transformers for improved long-term forecasting☆29Updated last year
- ☆17Updated last year
- ☆13Updated 3 years ago
- ☆31Updated last year