About

About#

Mission#

  • To support collaborative, reproducible and efficient data science in the SRM research community

  • To equip researchers with computational resources in the cloud

This jupyter book is written to accompany a cloud hub - the ReflectiveCloud which is a Jupyter notebook server providing free compute power in a pangeo python environment on cloud computing resources, available to the SRM research community.

To apply for access, fill out the form here.

Several initial resources are gathered here as described below, but this book is a work in progress, and we are looking for contributions from the community to help it grow! Contributions are welcome via Github.

Contents#

  • Code examples for working with GeoMIP and CMIP data stored on the Earth System Grid (ESGF)

  • A new preprocessed archive of some common SAI simulations

  • Code examples for working with the Amazon Web Services (AWS) ARISE data store

How to contribute#

Contributions are very welcome! Open pull requests or issues on the Github repo here ReflectiveCloud/Book

This book was inspired by the CryCloud project. See here (https://book.cryointhecloud.com/contributing/workflow.html) for a useful guide to the general process of contributing to Github based open source projects like this one.

This resource is in active develoopment and we welcome feedback - get in touch here