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The Reflective Cloud Hub; SRM research Community Book - Home The Reflective Cloud Hub; SRM research Community Book - Home
  • Welcome to the Reflective Cloud Hub

Usage guide

  • Getting started
  • Best Practices
  • Storing files
  • Accessing community datasets on the hub
  • How to Contribute
  • Support and Feedback

Resources

  • Useful Links
  • Example notebooks and code resources
    • GeoMIP via Google Cloud
      • Working with the GeoMIP (and CMIP6) cloud-store
    • GeoMIP via ESGF
      • Loading data directly from ESGF nodes
    • ARISE-SAI-1.5 via AWS
      • Example usage of the AWS ARISE-1.5 data set
      • ARISE-1.5 in the cloud - using kerchunck to improve access
    • GAUSS simulations
      • GAUSS Dataset
      • S3 Tree Browser Utility
    • Pre-processed ARISE and G6sulfur simulations
      • Introduction to working with the pre-processed SAI simulations archive
  • .md

Useful Links

Contents

  • SRM Modelling
  • Data Sources
    • Climate Model Simulations
    • CMIP Data Access from ESGF
    • Processed Data Archives
  • CMIP Information
  • Courses and Code Resources
    • Educational Resources
    • Best Practices

Useful Links#


SRM Modelling#

Some resources for Solar Radiation Management research:

  • GeoMIP Website - Official GeoMIP project information

  • GeoMIP GitHub - Source code and collaborative development

  • Reflective’s Simulator - Interactive SRM simulation tool


Data Sources#

Climate Model Simulations#

  • Locations and details of recent SAI simulations

  • SAI simulations on the Cloud Hub

CMIP Data Access from ESGF#

  • CMIP data (including ScenarioMIP and GeoMIP) - Available from ESGF nodes:

    • LLNL AIMS2

    • CEDA ESGF-UI

  • CMIP6 Walkthrough Guide - Comprehensive data access tutorial

Processed Data Archives#

  • Extremes indices for CESM ARISE simulations - By Mari Tye

  • Pre-processed archive of global, time and zonal means for common SAI simulation outputs - By Alistair Duffey


CMIP Information#

Documentation for working with CMIP data:

  • CMIP6 Dataset Nomenclature Guide - Understanding CMIP6 naming conventions

  • CMIP6 Variable Names List - Complete variable reference

  • CMIP6 Models and Components - Model specifications and details


Courses and Code Resources#

Educational Resources#

  • Earth and Environmental Data Science - By Ryan Abernathy

  • Project Pythia Cookbooks - Example workflows for advanced geoscience data science

  • Climatematch - Python resources for climate science

Best Practices#

  • The Turing Way - Guide to conducting reproducible, ethical, and collaborative data science

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Support and Feedback

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Example notebooks and code resources

Contents
  • SRM Modelling
  • Data Sources
    • Climate Model Simulations
    • CMIP Data Access from ESGF
    • Processed Data Archives
  • CMIP Information
  • Courses and Code Resources
    • Educational Resources
    • Best Practices

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