raspstephan / CBRAIN-CAMLinks
Code for neural network parameterization project
☆75Updated 5 years ago
Alternatives and similar repositories for CBRAIN-CAM
Users that are interested in CBRAIN-CAM are comparing it to the libraries listed below
Sorting:
- 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
- Climate Analytics using Deep Neural Networks in Python.☆62Updated last year
- TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection a…☆61Updated last month
- Lorenz 96 model with GAN parameterization of unresolved scale (Y).☆36Updated 5 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated 2 years ago
- Code for neural network parameterization project☆19Updated last year
- post-processing experiments with neural networks☆63Updated 3 years ago
- ☆97Updated last year
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆18Updated 2 years ago
- ¡AnDA! is a Python library for the Analog Data Assimilation.☆28Updated 3 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆92Updated 2 years ago
- Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model☆34Updated 6 months ago
- Easy emulating of geophysical models including (but not limited to!) Earth System Models.☆59Updated 6 months ago
- RDA apps clients. Subdirectories will be organized by language, e.g. python, perl, c++, bash☆37Updated last year
- Forecast Verification/Validation Tools in Python☆35Updated 2 years ago
- ☆111Updated 4 years ago
- A lower-level API for Machine Learning inference in operations☆37Updated 2 months ago
- A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.☆39Updated 3 months ago
- Ai2 Climate Emulator☆120Updated last week
- Lorenz 1996 two time-scale model for learning machine learning☆54Updated last month
- Making it far easier to read in and work with large volumes of climate model output from CMIP5/6☆21Updated 4 years ago
- End-to-end machine-learning library for predicting thunderstorm hazards.☆34Updated last month
- ☆58Updated last year
- Machine learning emulators for microphysical processes.☆14Updated 4 months ago
- Python wrapper for the FV3-based global climate model☆29Updated 3 years ago
- A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.☆38Updated last year
- Reconstruction of Cloud Vertical Structure with a Generative Adversarial Network☆25Updated 6 years ago
- Run AI NWP forecasts hassle-free, serverless in the cloud!☆114Updated last year
- Benchmarking tools for applying AI/ML to data assimilation☆23Updated 3 months ago
- Find and load data from the Brightband AI-ready mirror of the NOAA NASA Joint Archive (NNJA) of Observations for Earth System Reanalysis☆62Updated last month