RolnickLab / constrained-downscaling
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
☆82Updated 2 weeks ago
Alternatives and similar repositories for constrained-downscaling:
Users that are interested in constrained-downscaling are comparing it to the libraries listed below
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆96Updated 3 weeks ago
- Ai2 Climate Emulator☆87Updated last month
- Deep learning approaches for statistical downscaling in climate☆72Updated 2 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆90Updated 7 months ago
- Diffusion for climate downscaling☆52Updated 8 months ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆30Updated 3 years ago
- Clean, easier to use version of the downscaling cGAN☆24Updated last year
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 2 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- ☆40Updated 3 years ago
- ☆31Updated 2 years ago
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆38Updated 3 months ago
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆33Updated 9 months ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆49Updated 2 months ago
- ☆89Updated 10 months ago
- A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeathe…☆30Updated last week
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆67Updated 3 years ago
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆22Updated 3 years ago
- Adaptation of PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations for emulating high res…☆16Updated 2 months ago
- Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.☆54Updated last month
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 4 months ago
- ☆46Updated last week
- ☆25Updated this week
- AtmoRep model code☆46Updated this week
- A Python package for tackling diverse environmental prediction tasks with NPs.☆104Updated last week
- Find and load data from the Brightband AI-ready mirror of the NOAA NASA Joint Archive (NNJA) of Observations for Earth System Reanalysis☆41Updated this week
- Lorenz 1996 two time-scale model for learning machine learning☆49Updated last month
- A lower-level API for Machine Learning inference in operations☆36Updated 8 months ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆15Updated 3 years ago