Pyresample is a python package for resampling geospatial image data. Resampling or reprojection is the process of mapping input geolocated data points to a new target geographic projection and area.

PyGMT is a library for processing geospatial and geophysical data and making publication-quality maps and figures. It provides a Pythonic interface for the Generic Mapping Tools (GMT), a command-line program widely used across the Earth, Ocean, and Planetary sciences and beyond.

PnetCDF is a high-performance parallel I/O library for accessing Unidata's NetCDF, files in classic formats, specifically the formats of CDF-1, 2, and 5.

This packge provides utilities to retrieve tile maps from the internet. It can add those tiles as basemap to matplotlib figures or write tile maps to disk into geospatial raster files. Bounding boxes can be passed in both WGS84 (EPSG:4326) and Spheric Mercator (EPSG:3857).

xgcm is a Python package for working with the datasets produced by numerical General Circulation Models (GCMs) and similar gridded datasets that are amenable to finite volume analysis. In these datasets, different variables are located at different positions with respect to a volume or area element (e.g. cell center, cell face, etc.) xgcm solves the problem of how to interpolate and difference these variables from one position to another.

This package provides a Python library for manipulation and storage of a wide range of geoscientific data (points, curve, surface, 2D and 3D grids) in *.geoh5 file format.

This package provides programmatic access to the CDS, ADS and EWDS data catalogues from the ECMWF.

This package provides a three-dimensional modeller for electromagnetic (EM) diffusion as used for instance in geophysical controlled-source EM (CSEM) surveys. This includes use cases in the search for resources such as groundwater, geothermal energy, hydrocarbons, and minerals, or civil engineering and environmental applications.

This package provides a set of sparse matrix solvers used in geoscience.

All solvers work with scipy.sparse matricies, and a single or multiple right hand sides using numpy:

• L/U Triangular Solves

• Wrapping of SciPy matrix solvers (direct and indirect)

• Pardiso solvers now that MKL comes with conda!

• Mumps solver with nice error messages

Miami INsar Time-series software in PYthon.

This package provides a Python wrapper for solid to compute solid Earth tides.

This package estimates differential phase delay maps due to the stratified atmosphere for correcting radar interferograms.

This package provides methods for simulation and gradient-based parameter estimation in the context of geophysical applications.

The vision is to create a package for finite volume simulation with applications to geophysical imaging and subsurface flow. To enable the understanding of the many different components, this package has the following features:

• modular with respect to the spacial discretization, optimization routine, and geophysical problem

• built with the inverse problem in mind

• provides a framework for geophysical and hydrogeologic problems

• supports 1D, 2D and 3D problems

• designed for large-scale inversions

This package provides discretization tools for finite volume and inverse problems.

The vision is to create a package for finite volume simulation with a focus on large scale inverse problems. This package has the following features:

• modular with respect to the spacial discretization

• built with the inverse problem in mind

• supports 1D, 2D and 3D problems

• access to sparse matrix operators

• access to derivatives to mesh variables

Currently, discretize supports:

• Tensor Meshes (1D, 2D and 3D)

• Cylindrically Symmetric Meshes

• QuadTree and OcTree Meshes (2D and 3D)

• Logically Rectangular Meshes (2D and 3D)

• Triangular (2D) and Tetrahedral (3D) Meshes

This package provides programmatic access to the data store catalogue of the Copernicus CDS.

NetCDF is an interface for scientific data access and a software library that provides an implementation of the interface. The netCDF library defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data.

Boule is Python library for representing reference ellipsoids geometrically, calculating their gravity fields, and performing some global coordinate conversions.

This package provides a geospatial extension for xarray powered by rasterio.

Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent sources, and more. There are forward modeling functions for basic geometric shapes, like point sources, prisms and tesseroids.

Choclo is a Python library that hosts optimized kernel functions for running geophysical forward and inverse models, intended to be used by other libraries as the underlying layer of their computation.

This package provides DLF as used in Geophysics for electromagnetic modelling.

The electromagnetic modeller empymod can model electric or magnetic responses due to a three-dimensional electric or magnetic source in a layered-earth model with vertical transverse isotropic (VTI) resistivity, VTI electric permittivity, and VTI magnetic permeability, from very low frequencies (DC) to very high frequencies (GPR). The computation is carried out in the wavenumber-frequency domain, and various Hankel- and Fourier-transform methods are included to transform the responses into the space-frequency and space-time domains.

The Model for Prediction Across Scales - Atmosphere (MPAS-A) is a n-hydrostatic atmosphere model that is part of a family of Earth-system mponent models collectively known as MPAS. All MPAS models have in common eir use of centroidal Voronoi tessellations for their horizontal meshes, ich has motivated the development of a common software framework that ovides a high-level driver program and infrastructure for providing rallel execution, input and output, and other software infrastructure.

This package provides powerful tools for geospatial data manipulation in Python, including working with coordinate reference systems, grid definitions, and spatial transformations.