awesome-open-climate-science

Data structures and computational tools for working with tabular datasets

Data structures and computational tools for multidimensional arrays, inspired by netCDF data model

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 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

Expressive analysis and visualization of multi-dimensional datasets based on the CF conventions

Object-oriented data management system for multidimensional, gridded data used in climate analysis and simulation

Collection of tools for reading, visualizing, and performing calculations with weather data

Spherical harmonic wind analysis

A collection of diagnostic and interpolation routines for use with output of the Weather Research and Forecasting (WRF-ARW) Model

GSW-Python

Thermodynamic equation of state for seawater

WAVEWATCH III

NOAA's Ocean wave model

UMWM

University of Miami's wave model

rnoaa

An R interface to many NOAA data sources

A Python library for collecting Met/Ocean observations

A Python toolbox for solving the marine carbonate system and calculating related seawater properties

Process-oriented climate modeling

Automated analysis and management of gridded climate data

Analysis of large gridded geophysical datasets

xarray extension for gridded land surface & weather model output

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

Geospatial manipulation, subsetting, computation, and translation of spatiotemporal climate data

– xarray wrapper for analysis of ensemble forecast models for climate prediction

pyOWM

PyOWM is a client Python wrapper library for OpenWeatherMap (OWM) web APIs

Read and manipulate meteorological remote sensing data and write it to various image and data file formats

Analysis toolkit for continental scale Earth Observation data from satellites

User interface for searching against the CMR (Common Metadata Repository). Supports data download, visualization, and subsetting in some cases

Sentinelsat

Search and download data from the European Copernicus Sentinel satellites

Open Global Glacier Model

EOF analysis

summarizing geospatial raster datasets based on vector geometries

Regridding for numpy and Xarray datasets based on the Earth Systems Modeling Framework (ESMF) library

Resample/reproject earth observing satellite data

Spatial GIS operations on geometric types

Adds geolocalised subsetting, masking, and plotting operations to xarray's data structures via accessors

plotting and creation of masks of spatial regions

Tools for working with shapefiles, topographies, and polygons in xarray

Collocate

Collocate xarray trajectories in arbitrary physical dimensions

GIS platform to visualize, manage, edit, analyse data, and compose printable maps

The world's most popular geospatial library for PHP that works with WKT (including EWKT), WKB (including EWKB), GeoJSON, KML, GPX, GeoRSS and more

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 is a high-performance data management data storage format. HDF interfaces are available in C, Fortran, C++, Java, Python, and other languages

chunked, compressed, N-dimensional arrays

Read MITgcm binary MDS files into xarray data structures

xbpch

Xarray interface for bpch files

Access data stored in GAMS Data eXchange (GDX) files

Reads and writes GeoTIFF and provides a Python API based on Numpy N-dimensional arrays and GeoJSON

Python/numpy interface to the netCDF C library

xarray extension for computer model simulations

Library designed to make data analysis and visualization seamless and simple

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

graphics pipeline system for creating meaningful representations of large datasets quickly and flexibly

Create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text

A high-level plotting API for the PyData ecosystem built on HoloViews

user-configurable basemap for Antarctica with high-quality, peer-reviewed, free and open Antarctic scientific data

Search API for NASA's remote-sensed earth science metadata

– Popular hub for machine learning datasets, featuring "physical sciences" data on air quality, ozone level detection, greenhouse gas concentrations, aquatic toxicity, and more

The premier source of meteorological and oceanographic measurements for the marine environment

Pangeo Tutorial at Fall AGU 2018

Tutorial covering the basic Pangeo framework, including Dask, Xarray and JupyterHub

Pangeo SEA Tutorial

Tutorial for folks working on the NCAR Cheyenne Supercomputer

Course to learn how to do different GIS-related tasks in Python programming language

Geopandas, Shapely and Geopy

Demos, notebooks and overviews on getting started with basics of the three libraries

This book is the instruction manual used for a short-course on R programming for ClimateData Analysis and Visualization