Atmospheric Science - Python for climatology, oceanograpy and atmospheric science

Atmospheric Science

Packages

MetPy: a collection of tools in Python for reading, visualizing, and performing calculations with weather data

Siphon: downloading data from remote data services

Atmospheric Community Toolkit (ACT): Python toolkit for working with atmospheric time-series datasets of varying dimensions

windspharm: performing computations on global wind fields in spherical geometry

pyqg Python Quasigeostrophic Model

qgs Quasi-Geostrophic Spectral model (qgs)

Typhoon: A collection of tools for atmospheric research with Python 3

Py-ART: The Python ARM Radar Toolkit

PyTROLL: framework for the processing of earth observation satellite data

sunpy: solar data analysis environment

MMM-Py: Multi-Radar/Multi-Sensor (MRMS) Mosaic Python Toolkit

PyTDA: Python Turbulence Detection Algorithm

PyAMPR: Python Advanced Microwave Precipitation Radiometer Data Toolkit

Pymicra - A Python tool for Micrometeorological Analyses

Hydropy: Work with hydrological oriented time series.

atmqty: A Python Package for Calculating Atmospheric Quantities

pvlib-python: A set of documented functions for simulating the performance of photovoltaic energy systems.

Weather Parameters Calculator (wxparams): module for calculating meteorological parameters

Supercell Polarimetric Observation Research Kit (SPORK): A Python toolkit to automatically identify and track various polarimetric signatures in supercells

mos_parser: Library for Converting MOS (Model Output Statistics) Guidanc Datasets to Machine Learning Formats

SHARpy: Sounding/Hodograph Analysis and Research Program in Python

jsmetrics Python package for metrics and algorithms used to identify or characterise atmospheric jet streams