awesome-open-climate-science
Climate tools
A curated list of software packages for atmospheric and climate science
Awesome Open Atmospheric, Ocean, and Climate Science
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Awesome Open Atmospheric, Ocean, and Climate Science / Software / General Purpose | |||
Pandas | Data structures and computational tools for working with tabular datasets | ||
Xarray | Data structures and computational tools for multidimensional arrays, inspired by netCDF data model | ||
Numpy | NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays | ||
Matplotlib | Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Several other libraries, including many mentioned in the lists below, use Matplotlib by default under the hood for creating data visualizations | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Software / Frameworks | |||
Iris | Expressive analysis and visualization of multi-dimensional datasets based on the CF conventions | ||
CDMS | Object-oriented data management system for multidimensional, gridded data used in climate analysis and simulation | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Software / Meteorology | |||
MetPy | Collection of tools for reading, visualizing, and performing calculations with weather data | ||
windspharm | Spherical harmonic wind analysis | ||
wrf-python | A collection of diagnostic and interpolation routines for use with output of the Weather Research and Forecasting (WRF-ARW) Model | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Software / Oceanography | |||
GSW-Python | 146 | 10 days ago | Thermodynamic equation of state for seawater |
WAVEWATCH III | 266 | 7 days ago | NOAA's Ocean wave model |
UMWM | 20 | 13 days ago | University of Miami's wave model |
rnoaa | 330 | over 1 year ago | An R interface to many NOAA data sources |
pyoos | A Python library for collecting Met/Ocean observations | ||
PyCO2SYS | A Python toolbox for solving the marine carbonate system and calculating related seawater properties | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Software / Climate | |||
climlab | Process-oriented climate modeling | ||
aospy | Automated analysis and management of gridded climate data | ||
Oocgcm | Analysis of large gridded geophysical datasets | ||
Pangaea | xarray extension for gridded land surface & weather model output | ||
xgcm | Extends the xarray data model to understand finite volume grid cells (common in General Circulation Models) and provides interpolation and difference operations for such grids | ||
OpenClimateGIS | Geospatial manipulation, subsetting, computation, and translation of spatiotemporal climate data | ||
climpred | – xarray wrapper for analysis of ensemble forecast models for climate prediction | ||
pyOWM | 791 | 13 days ago | PyOWM is a client Python wrapper library for OpenWeatherMap (OWM) web APIs |
Awesome Open Atmospheric, Ocean, and Climate Science / Software / Remote Sensing | |||
SatPy | Read and manipulate meteorological remote sensing data and write it to various image and data file formats | ||
Open Data Cube | Analysis toolkit for continental scale Earth Observation data from satellites | ||
Earthdata Search | User interface for searching against the CMR (Common Metadata Repository). Supports data download, visualization, and subsetting in some cases | ||
Sentinelsat | 985 | about 2 months ago | Search and download data from the European Copernicus Sentinel satellites |
Awesome Open Atmospheric, Ocean, and Climate Science / Software / Glaciology | |||
OGGM | Open Global Glacier Model | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Software / Spatiotemporal Statistics | |||
EOFs | EOF analysis | ||
rasterstats | summarizing geospatial raster datasets based on vector geometries | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Software / Regridding | |||
xESMF | Regridding for numpy and Xarray datasets based on the Earth Systems Modeling Framework (ESMF) library | ||
Pyresample | Resample/reproject earth observing satellite data | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Software / GIS | |||
geopandas | Spatial GIS operations on geometric types | ||
salem | Adds geolocalised subsetting, masking, and plotting operations to xarray's data structures via accessors | ||
Regionmask | plotting and creation of masks of spatial regions | ||
xshape | Tools for working with shapefiles, topographies, and polygons in xarray | ||
Collocate | 18 | about 6 years ago | Collocate xarray trajectories in arbitrary physical dimensions |
QGIS | GIS platform to visualize, manage, edit, analyse data, and compose printable maps | ||
GeoPHP | The world's most popular geospatial library for PHP that works with WKT (including EWKT), WKB (including EWKB), GeoJSON, KML, GPX, GeoRSS and more | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Software / Data Storage | |||
netCDF | NetCDF (Network Common Data Form) is a set of interfaces for array-oriented data access and a freely distributed collection of data access libraries for C, Fortran, C++, Java, Python, and other languages | ||
HDF5 | HDF5 is a high-performance data management data storage format. HDF interfaces are available in C, Fortran, C++, Java, Python, and other languages | ||
Zarr | chunked, compressed, N-dimensional arrays | ||
xmitgcm | Read MITgcm binary MDS files into xarray data structures | ||
xbpch | 18 | 12 months ago | Xarray interface for bpch files |
PyGDX | Access data stored in GAMS Data eXchange (GDX) files | ||
rasterio | Reads and writes GeoTIFF and provides a Python API based on Numpy N-dimensional arrays and GeoJSON | ||
netcdf4-python | Python/numpy interface to the netCDF C library | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Software / Simulation | |||
xarray-simlab | xarray extension for computer model simulations | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Software / Visualization | |||
HoloViews | Library designed to make data analysis and visualization seamless and simple | ||
GeoViews | Library that makes it easy to explore and visualize geographical, meteorological, and oceanographic datasets, such as those used in weather, climate, and remote sensing research | ||
Datashader | 3,323 | 9 days ago | graphics pipeline system for creating meaningful representations of large datasets quickly and flexibly |
Panel | Create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text | ||
hvPlot | A high-level plotting API for the PyData ecosystem built on HoloViews | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Data Repositories | |||
Quantarctica | user-configurable basemap for Antarctica with high-quality, peer-reviewed, free and open Antarctic scientific data | ||
Common Metadata Repository | Search API for NASA's remote-sensed earth science metadata | ||
UCI Machine Learning Repository | – Popular hub for machine learning datasets, featuring "physical sciences" data on air quality, ozone level detection, greenhouse gas concentrations, aquatic toxicity, and more | ||
National Data Buoy Center | The premier source of meteorological and oceanographic measurements for the marine environment | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Tutorials | |||
Pangeo Tutorial at Fall AGU 2018 | 91 | over 4 years ago | Tutorial covering the basic Pangeo framework, including Dask, Xarray and JupyterHub |
Pangeo SEA Tutorial | 31 | over 6 years ago | Tutorial for folks working on the NCAR Cheyenne Supercomputer |
Automating GIS-processes | Course to learn how to do different GIS-related tasks in Python programming language | ||
Awesome Open Atmospheric, Ocean, and Climate Science / Cheat Sheets | |||
Geopandas, Shapely and Geopy | 28 | about 9 years ago | Demos, notebooks and overviews on getting started with basics of the three libraries |
Awesome Open Atmospheric, Ocean, and Climate Science / Miscellaneous | |||
R Programming for Climatedata Analysis and Visualization | This book is the instruction manual used for a short-course on R programming for ClimateData Analysis and Visualization |