Earth-Intelligence-Lab / LocalizedWeatherGNN
This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".
☆35Updated 2 months ago
Alternatives and similar repositories for LocalizedWeatherGNN:
Users that are interested in LocalizedWeatherGNN are comparing it to the libraries listed below
- ☆30Updated 2 years ago
- Ai2 Climate Emulator☆73Updated 2 weeks ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆79Updated last year
- Deep learning approaches for statistical downscaling in climate☆70Updated 2 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆14Updated 3 years ago
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆22Updated 3 years ago
- ☆40Updated 3 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆87Updated 6 months ago
- ☆39Updated this week
- The central point of ongoing research regarding the usefulness of the large-scale atmospheric variability in the Mediterranean for foreca…☆26Updated 2 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆30Updated 3 years ago
- Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.☆52Updated last week
- Subseasonal forecasting models☆47Updated last month
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- A dataset plugin for climetlab for the dataset maelstrom-a1☆12Updated last year
- ☆20Updated this week
- Data access package for the SubseasonalClimateUSA dataset☆28Updated 2 months ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆48Updated 2 weeks ago
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆30Updated 2 months ago
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆93Updated last year
- Diffusion for climate downscaling☆47Updated 7 months ago
- ☆18Updated 10 months ago
- machine learning for the atmospheric sciences - a CSU course☆30Updated last year
- Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…☆13Updated 4 years ago
- Command Line Interface to download ERA5 from Copernicus Climate Data Service☆50Updated 3 months ago
- DeepR: Deep Reanalysis☆24Updated last year
- post-processing experiments with neural networks☆60Updated 3 years ago
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆31Updated 8 months ago
- ☆20Updated 8 months ago
- Python code to manage ERA5 downloads at NCI☆31Updated 3 years ago