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\begin{document}

\title{CMIP6 without the interpolation: Grid-native analysis with Pangeo in the
cloud}



\author[1]{Julius Busecke}%
\author[2]{Ryan Abernathey}%
\affil[1]{Princeton University}%
\affil[2]{Columbia University}%


\vspace{-1em}



  
  \date{May 26, 2024}


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\begin{abstract}
The Pangeo project recently introduced large parts of the CMIP6 data
archive into the cloud. This enables, for the first time, centralized,
reproducible science of state-of-the-art climate simulations without the
need to own large storage or a supercomputer as a user. The data itself
however, still presents significant challenges for analysis, one of
which is applying operations across many models. Two of the major
hurdles are different naming/metadata between modeling centers and
complex grid layouts, particularly for the ocean components of climate
models. Common workflows in the past often included
interpolating/remapping desired variables and creating new files,
creating organizational burden, and increasing storage requirements. We
will demonstrate two Pangeo tools which enable seamless calculation of
common operations like vector calculus operators (grad, curl, div) and
weighted averages/integrals across a wide range of CMIP6 models directly
on the data stored in the cloud. cmip6\_preprocessing provides numerous
tools to unify naming conventions and parse grid information and metrics
(like cell area). This information is used by xgcm to enable finite
volume analysis on the native model grids. The combination of both tools
facilitates fast analysis while ensuring a reproducible and accurate
workflow.%
\end{abstract}%



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