# Get Involved in Pangeo: Entry Points for New Contributors

**URL:** <https://discourse.pangeo.io/t/get-involved-in-pangeo-entry-points-for-new-contributors/643>\
**Category:** Meta\
**Created:** [June 10, 2020, 1:43pm UTC](https://discourse.pangeo.io/t/get-involved-in-pangeo-entry-points-for-new-contributors/643 "2020-06-10T13:43:57Z")\
**Posts on this page:** 1\
**Showing post:** 7

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**Author:** ![cgentemann](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.pangeo.io/cgentemann/32/530_2.png) [@cgentemann](https://discourse.pangeo.io/u/cgentemann)\
**Post date:** [August 27, 2020, 9:11pm UTC](https://discourse.pangeo.io/t/get-involved-in-pangeo-entry-points-for-new-contributors/643/7 "2020-08-27T21:11:21Z")

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# Test cloud optimized data formats for swath (L2) satellite data

## Description

As NASA and NOAA data are moving to the cloud, what is the best cloud-optimized format for swath data? NASA has explored different formats and written a [report](https://ntrs.nasa.gov/citations/20200001178) that presents some viable options for swath data. For this project, we will stage a sample of the MODIS L2P data (from PO.DAAC) on Pangeo, transform it to a couple different formats (eg. Zarr, cloud-optimized HDF) and test access and analysis times for a few different likely patterns of analysis, such as collocation with random points that are globally distributed, finding all data within a bounding box, etc.

## Required Skills

What technical skills are needed in order to contribute? For example

- Basic-Intermediate python programming (Xarray, matplotlib)

## Mentors

- Chelle Gentemann, [cgentemann@faralloninstitute.org](mailto:cgentemann@faralloninstitute.org)

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_[View the full topic](https://discourse.pangeo.io/t/get-involved-in-pangeo-entry-points-for-new-contributors/643)._