raspstephan / Lorenz-OnlineLinks
Experiments demonstrating coupled online learning for machine learning parameterizations
☆22Updated 2 years ago
Alternatives and similar repositories for Lorenz-Online
Users that are interested in Lorenz-Online are comparing it to the libraries listed below
Sorting:
- ☆14Updated 5 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 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
- A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns☆12Updated 7 years ago
- Making it far easier to read in and work with large volumes of climate model output from CMIP5/6☆21Updated 4 years ago
- Easy emulating of geophysical models including (but not limited to!) Earth System Models.☆58Updated 4 months ago
- Code for neural network parameterization project☆74Updated 5 years ago
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 3 years ago
- A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.☆39Updated last month
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆22Updated 4 months ago
- A Python package for Climate Field Reconstruction☆20Updated last week
- Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Commu…☆19Updated 3 years ago
- TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection a…☆61Updated this week
- A project-based learning course where teams of climate science and data science students collaborate to create machine learning predictiv…☆39Updated 3 months ago
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆17Updated 2 years ago
- machine learning for the atmospheric sciences - a CSU course☆32Updated last year
- ¡AnDA! is a Python library for the Analog Data Assimilation.☆28Updated 3 years ago
- Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model☆33Updated 4 months ago
- Profile Classification Modelling (PCM) is an ocean data analysis method based on un-supervised classification of vertical profiles☆21Updated 6 years ago
- a toolbox for Earth System Model analysis☆29Updated 4 years ago
- diagnostic analyses and calculations in contour-based coordinates☆18Updated 11 months ago
- Climate Analytics using Deep Neural Networks in Python.☆63Updated last year
- ☆10Updated 3 years ago
- Neural Networks based unified physics parameterization for atmospheric models☆4Updated last year
- Machine learning emulators for microphysical processes.☆13Updated 3 months ago
- Collection of Python scripts and notebooks to demonstrate plotting on the ICON grid.☆17Updated 8 months ago
- Lorenz 96 model with GAN parameterization of unresolved scale (Y).☆36Updated 5 years ago
- El nino forecast based on a few machine learning methods☆24Updated 8 years ago
- Python wrapper for the FV3-based global climate model☆29Updated 3 years ago
- Jupyter notebooks for research and teaching☆10Updated 3 years ago