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  • Welcome to the ReflectiveCloud

Preamble

  • About
  • Useful links
  • Best Practices

Resources

  • GeoMIP analysis using ESGF
    • Loading data directly from ESGF nodes
    • Loading and working with GeoMIP (G6sulfur) data directly from ESGF
  • An archive of pre-processed SAI simulations
    • Introduction to working with the pre-processed SAI simulations archive
  • Using the AWS ARISE-SAI-1.5 simulations cloud archive
    • Example usage of the AWS ARISE-1.5 data set
    • ARISE-1.5 in the cloud - using kerchunck to improve access
  • .md

Useful links

Contents

  • SRM modelling:
  • Data sources:
  • CMIP information:
  • Courses and code resources

Useful links#

SRM modelling:#

  • GeoMIP website

  • GeoMIP github

  • Reflective’s Simulator

Data sources:#

  • CESM2-WACCM ARISE-SAI simulations

  • UKESM1 ARISE-SAI-1.5K simulations

  • CMIP data (including ScenarioMIP and GeoMIP) - from ESGF, various nodes (1, 2 etc.). See guide here

  • Extremes indices for the CESM ARISE simulations - by Mari Tye

  • Pre-processed archive of some common SAI simulation outputs - by Reflective

CMIP information:#

  • A useful guide to CMIP6 data set nomenclature

  • A list of CMIP6 variable names

  • A list of CMIP6 models and their sub-components

Courses and code resources#

  • Earth and Environmental Data Science (Ryan Abernathy)

  • Project Pythia Cookbooks - Example workflows for various advanced data science problems in the geosciences

  • Climatematch Various python resources for climate science

  • [The Turing Way] (https://book.the-turing-way.org/) - a guide to conducting reproducible, ethical and collaborative data science

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Contents
  • SRM modelling:
  • Data sources:
  • CMIP information:
  • Courses and code resources

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