N-D labeled arrays and datasets in Python

Visualizer for pandas data structures

Universal Regridder for Geospatial Data

weather radar data processing - python package

Python RINEX 2 / 3 NAV / OBS / sp3 reader & batch convert to HDF5 with C-like speed

Add geolocalised subsetting, masking, and plotting operations to xarray

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray

Raster-based Spatial Analysis for Python

geospatial xarray extension powered by rasterio

plotting and creation of masks of spatial regions

Python package for automated analysis and management of gridded climate data

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

Climate Data Science and Earth Observation with Python.

Metadata-aware machine learning.

A simple way of creating movies from xarray objects

Python/xarray tutorial for GEOS-Chem users

Numerical & Scientific Computing with Python Tutorial

Efficiently generate and analyse high dimensional data.

Tool to convert geopandas vector data into rasterized xarray data.

🌎 an xarray wrapper for analysis of ensemble forecast models for climate prediction 🌍

Xarray extension and framework for computer model simulations

Read MITgcm mds binary files into xarray

The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.

oocgcm is a python library for the analysis of large gridded geophysical dataset.

Enabling interoperability and scalability in ocean sonar data analysis

Statistical climate downscaling in Python

Extension to hypothesis for testing numpy general universal functions

Earth System Model Lab (esmlab)

Experimental code for loading/saving XArray DataArrays to Geographic Rasters using rasterio

Examples of analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using xarray and dask