tjvandal / geostationary-superslomo
Implementation of "Temporal Interpolation of Geostationary SatelliteImagery with Optical Flow"
☆15Updated 3 years ago
Alternatives and similar repositories for geostationary-superslomo:
Users that are interested in geostationary-superslomo are comparing it to the libraries listed below
- ☆31Updated 2 years ago
- Testing out Diffusion-based models for weather and PV forecasting☆14Updated 3 weeks ago
- ☆40Updated 3 years ago
- Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region☆20Updated 9 months ago
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆39Updated 4 months ago
- ☆15Updated last year
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆35Updated 10 months ago
- a GAN for precipitation downscaling☆41Updated 3 years ago
- Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.☆20Updated 6 months ago
- Global Precipitation Measurement Mission (GPM) python package to download and analyze data with xarray☆64Updated this week
- Code for working with the SEVIR weather dataset☆30Updated 2 years ago
- An implementation of "metnet3" in Pytorch☆39Updated 2 months ago
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆30Updated 2 years ago
- ☆15Updated 2 weeks ago
- Finetuning Prithvi WxC - Climate Model Parameterization for Gravity Wave Flux☆18Updated 6 months ago
- This includes the code and data used in the paper "Investigating transformer-based models for downscaling near-surface temperature and wi…☆19Updated last year
- DeepR: Deep Reanalysis☆24Updated last year
- ☆13Updated 2 years ago
- EarthNet Models PyTorch - Deep Neural Networks for geospatial vegetation forecasting.☆32Updated 5 months ago
- Starter Kit for the NeurIPS 2023 Weather4cast competition☆16Updated last year
- SEVIRI_ML: A machine learning based module to derive: (1) A cloud mask, (2) the cloud phase, (3) the cloud top pressure, (4) the cloud to…☆14Updated 2 years ago
- Matching A-train Calipso/Cloudsat products with AVHRR/VIIRS/MODIS readiances and products☆10Updated 4 months ago
- Clean, easier to use version of the downscaling cGAN☆24Updated last year
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆16Updated 3 years ago
- Code for TRUNET model☆17Updated last year
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆32Updated 2 years ago
- Diffusion for climate downscaling☆54Updated 9 months ago
- Satellite Optical Flow with machine learning models☆60Updated last year
- Implementation of convolutional conditional neural processes for statistical downscaling☆32Updated 3 years ago
- Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.☆12Updated last month