awesome-atmos

A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning
https://github.com/MeteoAI/awesome-atmos

Last synced: 9 days ago
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Data Processing/Anslysis
- Pandas
- CDMS - oriented data management system for multidimensional, gridded data used in climate analysis and simulation
- climlab - oriented climate modeling
- siphon
- statsmodels
- Pysteps - source Python library for probabilistic precipitation nowcasting
- QGIS
- geopandas
- pyproj
- cfgrib
- xESMF
- h5netcdf
- PseudoNetcdf
- netcdf4-python
- PyNio - format data I/O package with a NetCDF-style interface
- esmlab-regrid
- PySAL
- cdat
- aospy
- eof2
- h5netcdf
Machine Learning
- sklearn
- keras - High-level neural networks frontend for [TensorFlow](https://github.com/tensorflow/tensorflow), [CNTK](https://github.com/Microsoft/CNTK) and [Theano](https://github.com/Theano/Theano).
- CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box for R.
- PyTorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
- pyod
- XGBoost - A parallelized optimized general purpose gradient boosting library.
- LightGBM - Microsoft's fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
- hageleslag - based severe storm hazard forecasting system
- hur-detect - Supervised Object Detection for Extreme Weather Events.
- MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.
- TensorFlow - Open source software library for numerical computation using data flow graphs.
Resources
- pangeo
- ECCO - ice state estimate tutorial.
- NMC-WFT
- Example notebooks showing how to work with ECMWF services and data
- Python & Practical Application on Climate Variability Studies - how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change.
- Python for Climate and Meteorological Data Analysis and Visualisation
Visualization
- Cartopy
- Basemap
- matplotlib
- Seaborn
- earth wind map
- cmaps
- PyNGL
Numerical Model
- wrf-python
- salem - processing, including WRF pre/post processing
- CAMxtools
- geos2cmaq - Chem results to CMAQ boundary condition
- ingest_cm1
- CESM_postprocessing - processing code, documentation and issues tracking.
- SuPy - enhanced urban climate model with [SUEWS](https://github.com/Urban-Meteorology-Reading/SUEWS) as its computation core.
- xskillscore
- pysplit
- MET
- MONET
- MET
Radar
- wradlib
- PyART
- SingleDop
- ARTView
- PyCINRAD
- pyrad - time data processing framework developed by MeteoSwiss.
- PyCWR
Satellite
- PyCAMA - 5P Level2 product
- pyresample
- satpy
- TorchSat - source deep learning framework for satellite imagery analysis based on PyTorch.
- pys5p - 5P Level1B product
Calculating Index
- Metpy
- Sharppy
- atmos
- GeoCAT-comp - comp is the computational component of the GeoCAT project. GeoCAT-comp wraps NCL's non-WRF Fortran routines into Python.
Data Assimilation
- DAPPER
- pyWRFDART
- PSU_WRF_EnKF - Variational Data Assimilation System

Programming Languages

Python 33 Jupyter Notebook 4 C++ 4 Fortran 3 C 1 Cython 1 NCL 1 FORTRAN 1 JavaScript 1

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Awesome

awesome-atmos

Data Processing/Anslysis

Machine Learning

Resources

Visualization

Numerical Model

Radar

Satellite

Calculating Index

Data Assimilation