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 |
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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 |
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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 |
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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 |
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added support for ocean biogeochemistry |
| documentation and installation here |