This is your work, valued
Climate Scientist | Software Engineer | Open Science Advocate --- Previously at @leap-stc, @m2lines, Columbia University, Princeton University and GEOMAR
xmovie. A simple way of creating movies from xarray objects
257xMIP. Analysis ready CMIP6 data in python the easy way with pangeo tools.
206cookiecutter-science-project. Cookiecutter template for science analysis projects
92xarrayutils. Python
53dynamic_chunks. Determine appropriate chunk sizes for a given xarray dataset based on target chunk size and 'chunk aspect ratio'
15xargofloat. Jupyter Notebook
10easy_ipcc. We are trying to reproduce IPCC analysis plots from raw data in the cloud
8pangeo-forge-esgf. Using queries to the ESGF API to generate urls and keyword arguments for receipe generation in pangeo-forge
8presentation_ams_2023. Live demo showing how to reproduce an IPCC plot 100% in the cloud for AMS2023 Meeting
7presentation_2022_ams_cmip6_cloud. Jupyter Notebook
6tutorial_osm22_cmip6. Tutorial Material for Ocean Science Meeting Innovative Session IN08A Open Ocean Science
4aws_webinar. Short demo of CMIP6 analysis in the cloud for AWS webinar
4busecke_abernathey_2019_sciadv. This repository contains the analysis code used in Busecke and Abernathey 2018, Science Advances
4ocb_workshop_2021_cmip6_age. Jupyter Notebook
4guides. A collection of guides for princeton/gfdl specific setups.
4cmip6_regional_demo. A demo how to regrid coarse model data to e.g. states.
3pv-xarray-gallery. A collection of example using pyvista-xarray
3teaching. Collection of instructions for data analysis
3cmip6_preprocessing_tutorial. Jupyter Notebook
3mitgcm_surface_tracer. Python
3presentation_scipy_2022_cmip. Jupyter Notebook
3leap-pangeo-demos. Collection of demos for the LEAP-Pangeo platform
2busecke_etal_2022_aguadv. Jupyter Notebook
2NPJCLIMATSCI-00023R1_supplementary_figure1. Supplementary Material to reproduce Figure 1 from "Reflections on the CLIVAR Early Career Scientists Symposium 2016" in 'npj Climate and Atmospheric Science'
2cmip6_sst_trend_map. Create SST trend maps from CMIP6 output
2cmip6_omz. Jupyter Notebook
2busecke_etal_grl_2019_omz_euc. Jupyter Notebook
2mom_xtools. Collection of xarray based analysis tools for MOM ocean model output
2test-scripts. Uv scripts for testing out random ecosystem functionality
1pangeo-forge-big-query. Python
1xdggs. Xarray extension for DGGS
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