awesome-atmos

A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning

Inspired by awesome-python

• Awesome Atmosphere
  • Numerical Model
  • Radar
  • Sattlelite
  • Calculating Index
  • Data Processing/Analysis
  • Machine Learning
  • Visualization

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Numerical Model

• wrf-python: WRF results postprocessing
• CAMxtools: CAMx and CMAQ results postprocessing
• salem: Model results post-processing, including WRF pre/post processing
• geos2cmaq: Map GEOS-Chem results to CMAQ boundary condition
• ingest_cm1: A Fortran library to read CM1 output files

Radar

• PyART: A data model driven interactive toolkit for working with weather radar data.
• wradlib: An open source library for weather radar data processing.
• DualPol: Python Interface to Dual-Pol Radar Algorithms.
• SingleDop: Single Doppler Retrieval Toolkit.
• ARTView: Interactive radar viewing browser.

Sattlelite

• satpy: For Multiple sattlelite data product
• PyCAMA: For TROPOMI Sentinel-5P Level2 product
• pys5p: For TROPOMI Sentinel-5P Level1B product
• pyresample: resample sattlelite image

Calculating Index

• Metpy: To calculate many of atmos index
• Sharppy: Sounding/Hodograph Analysis and Research Program
• atmos: An atmospheric sciences library for Python

Data Processing/Anslysis

• siphon: Siphon is a collection of Python utilities for downloading data from remote data services
• cfgrib: processing grib format file
• h5netcdf: Pythonic interface to netCDF4 via h5py
• PseudoNetcdf: PseudoNetCDF like NetCDF except for many scientific format backends
• netcdf4-python: python/numpy interface to the netCDF C library
• xarray: N-D labeled arrays and datasets in Python
• iris: in- memory manipulation of labeled arrays supported by the UK Met office
• PyNio: PyNIO is a multi-format data I/O package with a NetCDF-style interface
• xESMF: Universal Regridder for Geospatial Data
• esmlab-regrid: a lightweight library for regridding in Python.
• geopandas: Python tools for geographic data
• PySAL: Python spatial analysis library
• cdat: Community Data Analysis Tools
• aospy: Python package for automated analysis and management of gridded climate data

Machine Learning

• hageleslag: Hagelslag is an object-based severe storm hazard forecasting system
• IDEA Lab: Research in data science and applied artificial intelligence/machine learning with a focus on high-impact real-world applications
• EarthML: Tools for working with machine learning in earth science

Visualization

• matplotlib: plotting with Python
• PyNGL: PyNGL ("pingle") is a Python module built on top of NCL's graphics library.
• Seaborn: Statistical data visualization using matplotlib
• Basemap: Plot on map projections (with coastlines and political boundaries) using matplotlib.
• Cartopy: Cartopy is a Python package designed to make drawing maps for data analysis and visualisation easy.
• holoviews: make data analysis and visualization seamless and simple

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Resources

• pangeo: A community platform for Big Data geoscience
• ECCO: global ocean and sea-ice state estimate tutorial.
• NMC-WFT: The R & D Center for Weather Forecasting Technology in NMC, CMA
• Python & Practical Application on Climate Variability Studies: Main objective of this tutorial is the transference of know-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: Python for Climate and Meteorological Data Analysis and Visualisation.
• Example notebooks showing how to work with ECMWF services and data