A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
☆109Feb 21, 2025Updated last year
Alternatives and similar repositories for deep-downscaling-overview
Users that are interested in deep-downscaling-overview are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Adaptation of PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations for emulating high res…☆21Jun 4, 2026Updated 2 weeks ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆98Feb 25, 2025Updated last year
- Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region☆31Jun 4, 2024Updated 2 years ago
- Diffusion for climate downscaling☆85Jun 28, 2024Updated last year
- Deep learning approaches for statistical downscaling in climate☆74Jul 1, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆101Jul 30, 2024Updated last year
- [NeurIPS 2022]RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling☆60Sep 8, 2024Updated last year
- Statistical climate downscaling in Python☆195Apr 6, 2026Updated 2 months ago
- Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"☆14Sep 13, 2024Updated last year
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆23Oct 19, 2021Updated 4 years ago
- Deep-learning Based Climate Downscaling of Precipitation Data☆15Dec 30, 2024Updated last year
- DeepR: Deep Reanalysis☆33Oct 25, 2023Updated 2 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆20May 29, 2021Updated 5 years ago
- A non-exhaustive list of open resources to help environmental scientists get started with machine learning☆20May 22, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆35Jan 23, 2023Updated 3 years ago
- DeepSD Super-resolution for Climate Downscaling in KDD 2017☆97Jun 8, 2022Updated 4 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆34Apr 8, 2021Updated 5 years ago
- GD-CAF: Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting☆19Dec 24, 2024Updated last year
- Research and experiments for downscaling climate/weather data via generative learning☆38Mar 30, 2022Updated 4 years ago
- Diffusion Probabilistic Downscaling Model☆30Jul 8, 2024Updated last year
- Climate downscaling using CMIP6 data☆211Apr 6, 2026Updated 2 months ago
- Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project☆152May 28, 2025Updated last year
- Code repository for the paper "A Comparative Study of Convolutional Neural Network Models for Wind Field Downscaling" by Kevin Höhlein, M…☆16Sep 9, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Source code for ClimateLearn☆352Mar 16, 2024Updated 2 years ago
- Hybrid ML + physics model of the Earth's atmosphere☆983May 20, 2026Updated 3 weeks ago
- A python-based linear inverse modeling suite☆30Jun 20, 2019Updated 6 years ago
- ☆21Mar 25, 2024Updated 2 years ago
- Flow routing using a hexagonal grid.☆11May 18, 2022Updated 4 years ago
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆125Mar 18, 2025Updated last year
- Inference of Machine Learning weather forecasting models☆41Updated this week
- Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models☆28Apr 18, 2022Updated 4 years ago
- ☆33Apr 15, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A benchmark for the next generation of data-driven global weather models.☆620Jun 6, 2026Updated last week
- Ai2 Climate Emulator: fast machine learning models for weather and climate prediction☆227Updated this week
- Coelho, G. de A. et al. (2022) Potential Impacts of Future Extreme Precipitation Changes on Flood Engineering Design across the Contiguou…☆11Mar 30, 2022Updated 4 years ago
- year when a certain warming level was reached in CMIP5 and CMIP6 data☆29Nov 7, 2025Updated 7 months ago
- A comprehesive survey about foundation models for weather and cliamte data understanding.☆293Feb 3, 2025Updated last year
- A modern Python utility library for climate data collection and management☆19Jun 3, 2026Updated 2 weeks ago
- A Python toolkit for retrieving, visualizing, and performing scientific analyses with data from the Cal-Adapt Analytics Engine.☆36Updated this week