monocongo / climate_learn
Deep learning for climate modeling.
☆40Updated 5 years ago
Alternatives and similar repositories for climate_learn:
Users that are interested in climate_learn are comparing it to the libraries listed below
- GOES-16 Convective Initiation Benchmark☆17Updated 2 years ago
- A High-Performance Data Science Toolkit for the Earth Sciences☆67Updated 9 months ago
- Beta for Pangeo Postprocessing☆16Updated 4 years ago
- a benchmark dataset for training and evaluating global cloud classification models.☆29Updated last year
- ☆111Updated 3 years ago
- machine learning for the atmospheric sciences - a CSU course☆32Updated last year
- 📈 Series of workshops and lectures using Python in the climate/atmospheric sciences 📉☆56Updated 3 months ago
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 2 years ago
- Code used for the analysis and visualisation of climate data during my PhD☆39Updated 7 years ago
- A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…☆53Updated 7 years ago
- Climate Analytics using Deep Neural Networks in Python.☆62Updated last year
- A simple way to evaluate Copernicus Climate Change (C3S) seasonal forecasts monthly data☆12Updated 3 years ago
- Python code to manage ERA5 downloads at NCI☆32Updated 3 years ago
- Examples of analysis of CMIP6 data using xarray and dask☆54Updated 5 years ago
- Statistical climate downscaling in Python☆188Updated 5 months ago
- Materials for the Machine Learning in Python for Environmental Science Problems AMS 2020 Short Course☆29Updated 5 years ago
- Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.☆55Updated last month
- Student Workbook Repository for the wrf-python Tutorial☆69Updated 3 years ago
- Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.☆72Updated 4 years ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆34Updated 2 years ago
- ☆26Updated 9 months ago
- A super lightweight Lagrangian model for calculating millions of trajectories using ERA5 data☆40Updated 2 years ago
- Subseasonal forecasting models☆49Updated last month
- Ai2 Climate Emulator☆87Updated last month
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆43Updated 3 years ago
- A dataset plugin for climetlab for the dataset maelstrom-a1☆12Updated last year
- Lorenz 1996 two time-scale model for learning machine learning☆50Updated last month
- Python for Atmosphere and Ocean Scientists☆91Updated 2 months ago
- Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project☆139Updated 11 months ago