Skip to content
View jbusecke's full-sized avatar
278 followers · 85 following

Achievements

Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: YOLOAchievement: Starstruckx2Achievement: Galaxy BrainAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: YOLOAchievement: Starstruckx2Achievement: Galaxy BrainAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@OceanGlidersCommunity

Block or report jbusecke

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jbusecke/README.md

Julius Busecke

Climate Scientist, Software Developer, Open Science Advocate.

Software

Core Maintainer: xGCM, Aerobulk-Python Pangeo-ESGF CMIP6 Zarrs

Creator: xMIP

Bio

Julius Busecke is a Senior Research Associate at the Lamont-Doherty Earth Observatory of Columbia University, the Manager for Data and Computing at LEAP, and the Lead of Open Research at m2lines. He is a physical oceanographer focusing on the role of ocean transport on various aspects of variability in the coupled earth system. As the manager of Data and Computing for LEAP and the Lead of Open Science for m2lines he serves as a community champion to maintain and improve cloud based open research workflows for students and researchers. He is an active contributor to the pangeo open source python software stack, and is actively developing tools and data repositories to rapidly analyze petabyte scale datasets like CMIP6 in a fully reproducible way in the cloud.

Julius's GitHub stats

Pinned Loading

  1. xMIP xMIP Public

    Analysis ready CMIP6 data in python the easy way with pangeo tools.

    Jupyter Notebook 198 44

  2. ocb_workshop_2021_cmip6_age ocb_workshop_2021_cmip6_age Public

    Jupyter Notebook 4

  3. easy_ipcc easy_ipcc Public

    We are trying to reproduce IPCC analysis plots from raw data in the cloud

    Jupyter Notebook 9 1