jejjohnson / ml4sshLinks
Machine learning applied to interpolate sea-surface height observations from altimetry tracks.
☆11Updated 2 years ago
Alternatives and similar repositories for ml4ssh
Users that are interested in ml4ssh are comparing it to the libraries listed below
Sorting:
- Benchmarking tools for applying AI/ML to data assimilation☆23Updated 4 months ago
- Official implementation of Score-based Data Assimilation☆72Updated last year
- Code repository for paper: An ensemble score filter for tracking high-dimensional nonlinear dynamical systems☆18Updated 11 months ago
- Code for neural network parameterization project☆19Updated last year
- Streamlined version of the 4dvarnet algorithm: probably a good starting point to understand and applying it☆13Updated 2 weeks ago
- Easy emulating of geophysical models including (but not limited to!) Earth System Models.☆59Updated 7 months ago
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 3 weeks ago
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆40Updated last year
- ☆32Updated last month
- OceanBench - SSH edition☆21Updated last year
- A generative foundation model for the kilometer-scale atmosphere☆81Updated 2 weeks ago
- Testing out Diffusion-based models for weather and PV forecasting☆15Updated 2 weeks ago
- Fast domain-aware neural network emulation of a planetary boundary layer parameterization in a numerical weather forecast model☆12Updated 6 years ago
- ☆38Updated 4 years ago
- A spherical CNN for weather forecasting☆72Updated 2 years ago
- Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS0014…☆49Updated 6 years ago
- Code for neural network parameterization project☆76Updated 5 years ago
- explore the FV3 data for parameterization☆17Updated 9 months ago
- generation of training-optimised weather datasets from declarative syntax☆12Updated last month
- ☆58Updated last year
- Benchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.☆73Updated this week
- Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.☆29Updated 3 months ago
- ☆14Updated 5 years ago
- ¡AnDA! is a Python library for the Analog Data Assimilation.☆28Updated 3 years ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆27Updated last week
- Call XGBoost from Fortran☆12Updated 2 years ago
- PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.☆13Updated 3 years ago
- Tooling for creating, visualising and storing data-driven weather-model graphs☆17Updated last week
- ☆22Updated 10 months ago
- Scripts and examples for the ENS-10 Ensemble Prediction System machine learning dataset☆29Updated 2 years ago