thunderhoser / cira_uq4ml
Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
☆16Updated 2 years ago
Alternatives and similar repositories for cira_uq4ml:
Users that are interested in cira_uq4ml are comparing it to the libraries listed below
- Neural Networks based unified physics parameterization for atmospheric models☆4Updated last year
- MILES Community Research Digital Intelligence Twin (CREDIT): research platform for AI numerical weather prediction models.☆26Updated this week
- A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns☆12Updated 6 years ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆21Updated last month
- Detect, classify, and track Rossby Wave Breaking (RWB) in weather and climate data.☆30Updated 5 months 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
- Machine learning emulators for microphysical processes.☆13Updated 6 months ago
- Compute streamfunction, velocity potential and helmholtz decomposition from non-global wind data☆12Updated 4 years ago
- Simulate SEVIRI satellite channels from WRF output☆20Updated 4 months ago
- ☆17Updated 10 months ago
- A high-level python package integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting☆21Updated 6 months ago
- Earth Computer Hyperparameter Optimization☆20Updated 2 months ago
- Beta for Pangeo Postprocessing☆17Updated 4 years ago
- Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS0014…☆48Updated 6 years ago
- Notes and practicals for my "Physics of the Climate System" lecture☆27Updated 8 months ago
- XRO: Extended nonlinear Recharge Oscillator model☆17Updated last month
- Mid-Latitude Evaluation System☆15Updated 4 years ago
- Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model☆31Updated last month
- A numerical model of atmospheric general circulation on the tropical beta-plane based on the Gill 1980 paper.☆16Updated 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.