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Ryan Abernathey

Scientist, Startup Founder, and Software Developer

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Software Development

Partial list of projects I'm involved in

Short Biography

Ryan P. Abernathey is a scientist, startup founder, and open-source software developer. He is the CEO and co-founder of Earthmover PBC, an early stage startup on a mission to empower people to use scientific data to solve humanity's greatest challenges. He's also an Associate Professor of Earth And Environmental Science at Columbia University and Lamont Doherty Earth Observatory. As a physical oceanographer, he studies the large-scale ocean circulation and its relationship with Earth's climate using climate models and satellite data. He received his Ph.D. from MIT in 2012 and did a postdoc at Scripps Institution of Oceanography. He has received an Alfred P. Sloan Research Fellowship in Ocean Sciences, an NSF CAREER award, The Oceanography Society Early Career Award, and the AGU Falkenberg Award. He is a member of the NASA Surface Water and Ocean Topography (SWOT) science team and Director of Data and Computing for a new NSF Science and Technology Center called Learning the Earth with Artificial Intelligence and Physics (LEAP). Prof. Abernathey is an active participant in and advocate for open source software, open data, and reproducible science. In 2016 he helped found the Pangeo project, an open science community focused on big scientific data analytics.

Headshot: https://ocean-transport.github.io/_images/ryan.jpg

Ryan Abernathey's Projects

2dks icon 2dks

2 Dimensional Kolmogorov-Smirnov test for goodness-of-fit

2i2c-docs icon 2i2c-docs

Documentation for 2i2c community JupyterHubs.

aerobulk icon aerobulk

AeroBulk is a package/library that gathers state-of-the-art aerodynamic bulk formulae algorithms used to compute turbulent air-sea fluxes of momentum, heat and freshwater.

aerobulk-python icon aerobulk-python

A python wrapper for aerobulk (https://github.com/brodeau/aerobulk)

alg-symposium icon alg-symposium

Build a Jekyll blog in minutes, without touching the command line.

amazon-asdi icon amazon-asdi

Docs and supporting material for the Amazon Sustainability Data Initiative.

aospy-workshop icon aospy-workshop

Details and logistics for the 2016 AOSPY Workshop at Columbia Univeristy

argopy icon argopy

A python library for Argo data beginners and experts

astropy icon astropy

Repository for the Astropy core package

awesome-open-geoscience icon awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

birds icon birds

A silly repository for class

blog icon blog

Matthew Rocklin's technical blog

buoydata icon buoydata

Tools for working with NOAA Global Drifter Program data

cartopy icon cartopy

Cartopy - a cartographic python library with matplotlib support

cdsapi icon cdsapi

Python API to access the Copernicus Climate Data Store (CDS)

cesm-lens-aws icon cesm-lens-aws

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

cftime icon cftime

Time-handling functionality from netcdf4-python.

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