Climate Science Python Packages

xclim

Library of derived climate variables, ie climate indicators, based on xarray.

pydisort

Modern Python & C++ API for the radiative transfer solver DISORT. Parallelized with PyTorch tensors; compile-free with: pip install pydisort.

globalwarmingpotentials

Global Warming Potentials as assessed by the IPCC in CSV format, and as Python and Node modules

clisops

Climate Simulation Operations

earth2studio

Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.

xarrayutils

A collection of various tools for data analysis built on top of xarray and xgcm

netcdf-scm

Simple wrappers for processing netcdf files for use in simple climate models

xeofs

Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis

clouddrift

CloudDrift accelerates the use of Lagrangian data for atmospheric, oceanic, and climate sciences.

pyaerocom

Python tools for climate and air quality model evaluation

sbti-finance-tool

This toolkit helps companies and financial institutions to assess the temperature alignment of current targets, commitments, and investment and lending portfolios, and to use this information to develop targets using portfolio coverage or temperature rating (CDP/WWF v1) methods for official validation by the SBTi. See the wiki for a change log.

climlab

Python package for process-oriented climate modeling

index-calculator

Calculate climate indicators based on xclim

topopyscale

TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale

python-cmethods

A collection of bias correction techniques written in Python - for climate sciences.

jsmetrics

Library of algorithms and metrics used to characterise jet streams.

rscm

Simple Climate Model framework implemented in Rust

itslive

Python client for ITSLIVE gralcier velocity data

sbti

This toolkit helps companies and financial institutions to assess the temperature alignment of current targets, commitments, and investment and lending portfolios, and to use this information to develop targets using portfolio coverage or temperature rating (CDP/WWF v1) methods for official validation by the SBTi. See the wiki for a change log.

hn2016-falwa

Python library for computing Finite-Amplitude Local Wave Activity Diagnostics from climate data.

falwa

Python library for computing Finite-Amplitude Local Wave Activity Diagnostics from climate data.

valenspy

A Python package to Validate Ensembles of gridded model data

climate-learn

Source code for ClimateLearn

maesters-clim

Maesters-of-Clim tempt to help retriving climate data (climate index, reanalysis) from the main-stream climate insitution (like IRI, PSL, NCEI, RDA).