scores
scores: A Python package for verifying and evaluating models and predictions with xarray - Published in JOSS (2024)
OceanBioME.jl
OceanBioME.jl: A flexible environment for modelling the coupled interactions between ocean biogeochemistry and physics - Published in JOSS (2023)
cfdm
cfdm: A Python reference implementation of the CF data model - Published in JOSS (2020)
hydroscoper
hydroscoper: R interface to the Greek National Data Bank for Hydrological and Meteorological Information - Published in JOSS (2018)
qgs
qgs: A flexible Python framework of reduced-order multiscale climate models - Published in JOSS (2020)
TopoPyScale
TopoPyScale: A Python Package for Hillslope Climate Downscaling - Published in JOSS (2023)
MetSim
MetSim: A Python package for estimation and disaggregation of meteorological data - Published in JOSS (2020)
gridwxcomp
gridwxcomp: A Python package to evaluate and interpolate biases between station and gridded weather data - Published in JOSS (2025)
CATS
CATS: The Climate Aware Task Scheduler - Published in JOSS (2025)
MPTRAC
MPTRAC: A high-performance Lagrangian transport model for atmospheric air parcel dispersion - Published in JOSS (2025)
weatherOz
weatherOz: An API Client for Australian Weather and Climate Data Resources in R - Published in JOSS (2024)
CoPro
CoPro: a data-driven modelling framework for conflict risk projections - Published in JOSS (2021)
Oceananigans.jl
Oceananigans.jl: Fast and friendly geophysical fluid dynamics on GPUs - Published in JOSS (2020)
Synthia
Synthia: multidimensional synthetic data generation in Python - Published in JOSS (2021)
MITgcm.jl
MITgcm.jl: a Julia Interface to the MITgcm - Published in JOSS (2024)
MetObs - a Python toolkit for using non-traditional meteorological observations
MetObs - a Python toolkit for using non-traditional meteorological observations - Published in JOSS (2024)
catalystcoop.pudl
The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
climpred
climpred: Verification of weather and climate forecasts - Published in JOSS (2021)
gps
This repository provides a collection of codes for the analysis of GPS/RO observations.
iasi
This repository provides a collection of codes for the analysis of remote sensing observations of EUMETSAT's Infrared Atmospheric Sounding Interferometer (IASI).
open-grid-emissions
Tools for producing high-quality hourly generation and emissions data for U.S. electric grids
fao
open-sustainable-technology
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech
climate
The R climate package: an interface for downloading in-situ meteorological (and hydrological) dataset
cloupy
CLOUPY IS NO LONGER SUPPORTED. PLEASE, SEE README. cloupy is a Python library for climatological data downloading, processing and visualizing. The main goal of the library is to help its author in writing a BA thesis. The library is well adapted to academic work - used data sources are reliable and graphs are easy to modify.
pygac
A python package to read and calibrate NOAA and Metop AVHRR GAC and LAC data
reemission
Re-Emission is a collection of methods for calculating GHG emisisons from reservoirs
cavaanalytics
CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range of climate research and user needs
geos-chem
GEOS-Chem "Science Codebase" repository. Contains GEOS-Chem science routines, run directory generation scripts, and interface code. This repository is used as a submodule within the GCClassic and GCHP wrappers, as well as in other modeling contexts (external ESMs).
hn2016_falwa
Python library for computing Finite-Amplitude Local Wave Activity Diagnostics from climate data.
multi-mode-cnn-pytorch
A PyTorch implementation of the Multi-Mode CNN to reconstruct Chlorophyll-a time series in the global ocean from oceanic and atmospheric physical drivers
itslive
NOTE: this book is no longer maintained. Please go to 'Cloud-native geospatial data cube workflows,' linked below, instead.
airs
The AIRS Code Collection enables data processing and analysis for remote sensing observations captured by NASA's Atmospheric InfraRed Sounder.
gchp
The "superproject" wrapper repository for GCHP, the high-performance instance of the GEOS-Chem chemical-transport model.
cleopy
Clara Bayley's version of the superdroplet model. CLEO is short for Cleopatra and Clouds through Lagrangian Exascale micrO-physics
mst-himalaya
Assessing the Shyft Modelling Framework in Nepal: Impact of Snow Routines and Terrain Representation on Simulated Water Balance Components
gcclassic
This repository contains the "superproject" wrapper for the "Classic" configuration of the GEOS-Chem model of atmospheric chemistry and composition.
gval
A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement maps and metrics.
paleomat
paleoMAT: Paleotemperature Reconstruction from Pollen using the Modern Analog Technique
survey-live-temperature-map
These scripts create daily survey station daily temperature and anomaly plots as the ships work their way through the Bering Sea. These ships are conducting NOAA Fisheries' Alaska Fisheries Science Center's fisheries independent surveys in the Eastern Bering Sea. Scripts pull temperatures from google drive, entered by FPCs at sea, create daily maps and composite gifs, and then push the maps to google drive for the communications team.
tcpypi
tcpyPI, aka "pyPI": Tropical Cyclone Potential Intensity Calculations in Python
predictgmstrate
Using a neural network to predict changes in the rate of global mean surface temperature warming
credi
A set of scripts detailing the Climatological Renewable Energy Deviation Index.
awesome-green-ai
A curated list of awesome Green AI resources and tools to assess and reduce the environmental impacts of using and deploying AI.
ClimaAtmos.jl
ClimaAtmos.jl is an atmosphere model that is designed to leverage data assimilation and machine learning tools for modeling and calibrating subgrid-scale processes.
colopendata
ColOpenData is a package that acquires and wrangles Colombian socioeconomic, geospatial and climate data
https://github.com/clima/climaanalysis.jl
An analysis library for ClimaDiagnostics (and, more generally, NetCDF files)
gcam-china
GCAM-China - The Global Change Analysis Model with China provincial-level details
cloud-carbon-footprint
Cloud Carbon Footprint is a tool to estimate energy use (kilowatt-hours) and carbon emissions (metric tons CO2e) from public cloud usage
climatebase.jl
Tools to analyze and manipulate climate (spatiotemporal) data. Also used by ClimateTools and ClimatePlots
earth2mip
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.
tubedb
TubeDB is an on-demand processing database system for climate station data
https://github.com/bird-house/flyingpigeon
WPS processes for climate model data, indices and extreme events
climate-change-data
:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change
https://github.com/climateimpactlab/dodola
Containerized application for running individual tasks in a larger, orchestrated CMIP6 bias-adjustment and downscaling workflow.
https://github.com/btschwertfeger/energy-balance-models-website
Website for visualization of two different energy balance models with customizable parameters. (+ Jupyter Notebook)
climatemodels.jl
Julia interface to climate models + tracked workflow framework
auto-mhm-test-domains
Repository with an example workflow to run mHM with its test data, using containers
reflective-potential
An empirical analysis of Earth's annual-average surface reflectivity potential
miranda
A modern Python utility library for climate data collection and management
pylandtemp
Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.