My primary data analysis tool is the wonderful open-source language, python. There has been a recent push in the Geoscience community toward the language, since domain-specific packages can be developed fully open-source and the language supports out-of-memory computation with dask and easy analysis over labelled arrays with xarray. I collaborate with developers primarily through the pangeo project.
core developer
 |
co-founding author and core developer |
an xarray wrapper for analysis of ensemble forecast models for climate prediction
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documentation and installation here |
 |
founding author and core developer |
a toolbox for Earth System Model analysis
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documentation and installation here |
xskillscore |
core developer/maintainer |
xarray wrapper for metrics for verifying forecasts |
added area-weighting and skipna to all functions |
documentation and installation here |
contributor
esmlab |
contributing author |
NCAR package of tools for working with Earth system multi-model analyses with xarray |
added significance testing for statistics |
documentation and installation here |
Lagrangian, In Situ, Global, High-Performance Particle Tracking (LIGHT) |
contributing author |
an online Lagrangian particle tracking system for the MPAS–O ocean model |
Added biogeochemical "sensors" so the floats can record the time history of carbon, nutrients, and oxygen |
description of LIGHT here |
MPAS-Analysis
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contributing author |
provides analysis for the Model for Prediction Across Scales (MPAS) components of ACME |
added support for ocean biogeochemistry |
documentation and installation here |