kramea / aibedo
DARPA AIE (AI-Assisted Climate Tipping Point): AIBEDO (A hybrid AI framework to capture the effects of cloud properties on global circulation and regional climate patterns)
☆18Updated last year
Alternatives and similar repositories for aibedo:
Users that are interested in aibedo are comparing it to the libraries listed below
- ☆11Updated 5 months ago
- A comparison of linear regression vs. deep learning for emulating climate models in the presence of internal variability. (public)☆14Updated last month
- A python package for computing zonal mean and related atmospheric diagnostics☆15Updated last year
- Satellite labelling tool for manual labelling of storm top features such as overshooting tops, above-anvil plumes, cold U/Vs, rings etc.☆13Updated 3 years ago
- A ML-oriented generic patcher for xarray data structures.☆16Updated last month
- Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences☆14Updated 2 years ago
- 2022 EarthCube Annual Meeting☆11Updated 2 years ago
- A lightweight machine learning framework for Xarray☆22Updated last year
- Jupyter notebooks for research and teaching☆10Updated 3 years ago
- Repository for IBM weather downscaling model☆30Updated 3 months ago
- A modern Python utility library for climate data collection and management☆18Updated this week
- ☆10Updated 3 years ago
- Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)☆13Updated 2 years ago
- Finetuning Prithvi WxC - Climate Model Parameterization for Gravity Wave Flux☆17Updated 5 months ago
- Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.☆12Updated last month
- a benchmark dataset for training and evaluating global cloud classification models.☆29Updated last year
- Predicting Fuel Load from earth observation data using Machine Learning☆17Updated 3 years ago
- ☆10Updated 2 years ago
- Forecast Sensitivity to Observations and Observation Impact☆18Updated 3 years ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆20Updated last year
- ☆14Updated 4 years ago
- An Earth Observation Land Data Assimilation System (EO-LDAS)☆17Updated 12 years ago
- NinoLearn is a research framework for statistical ENSO prediction.☆10Updated 4 years ago
- Python line-by-line radiative transfer model☆11Updated last year
- Two-stream remote sensing model for water quality mapping: 2SeaColor☆10Updated 4 years ago
- NASA cloud science tutorials and science use cases☆25Updated 4 months ago
- Implementation of HySPLIT based trajectory modeling and analysis in python.☆6Updated 7 months ago
- Curated Docker images for use with Jupyter and Pangeo☆17Updated 4 years ago
- A streamlit web app visualizing global surface water datasets.☆13Updated 2 years ago