MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
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Updated
Jul 19, 2024 - Python
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀
Atmospheric data Community Toolkit - A python based toolkit for exploring and analyzing time series atmospheric datasets
A collection of forward and inverse Mie solving routines for Python 3, based on Bohren and Huffman's Mie Theory derivations
Repository of examples showing off the use of Python for meteorology.
Python for Atmosphere and Ocean Scientists
A Planetary Intensity Code for Atmospheric Spectroscopy Observations
Tools for atmospheric research
📈 Series of workshops and lectures using Python in the climate/atmospheric sciences 📉
A python package that helps you to access and plot vertical profile data for meteorological analysis
A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets and Benchmarks Track)
A box-model that automatically creates and solves equations used to describe the evolution in atmospheric composition using Python with Numba and, optionally, Fortran.
Invert geophysical fluid dynamic problems (elliptic partial differential equations) using SOR iteration method.
Implements weather station class in Python that calculates ETo (reference crop's evapotranspiration) based on UN-FAO Irrigation and Drainage Paper 56
Python library for the analysis and visualization of data from a Scanning Mobility Particle Sizer (SMPS) and other similar instruments (SEMS, OPC's).
A Python reference implementation of the CF data model
Python interface to the NCEP G2C Library for reading and writing GRIB2 messages.
References and Examples for Plotting MPAS Output
A line of code to analyze climate
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