Skip to content
GitLab
Projects Groups Topics Snippets
  • /
  • Help
    • Help
    • Support
    • Community forum
    • Submit feedback
  • Sign in
  • SUNSET SUNSET
  • Project information
    • Project information
    • Activity
    • Labels
    • Members
  • Repository
    • Repository
    • Files
    • Commits
    • Branches
    • Tags
    • Contributor statistics
    • Graph
    • Compare revisions
  • Issues 43
    • Issues 43
    • List
    • Boards
    • Service Desk
    • Milestones
  • Merge requests 12
    • Merge requests 12
  • CI/CD
    • CI/CD
    • Pipelines
    • Jobs
    • Schedules
  • Deployments
    • Deployments
    • Environments
    • Releases
  • Packages and registries
    • Packages and registries
    • Package Registry
    • Terraform modules
  • Monitor
    • Monitor
    • Incidents
  • Analytics
    • Analytics
    • Value stream
    • CI/CD
    • Repository
  • Wiki
    • Wiki
  • Snippets
    • Snippets
  • Activity
  • Graph
  • Create a new issue
  • Jobs
  • Commits
  • Issue Boards
Collapse sidebar
  • Earth SciencesEarth Sciences
  • SUNSETSUNSET
  • Wiki
  • Home

Home · Changes

Page history
Update home authored Nov 10, 2022 by vagudets's avatar vagudets
Hide whitespace changes
Inline Side-by-side
home.md
View page @ f4c2691d
...@@ -3,9 +3,9 @@ ...@@ -3,9 +3,9 @@
Auto-S2S is the GitLab repository for the ESS Verification Suite, a modular tool for subseasonal to seasonal to decadal forecast verification workflows. It is intended to have a modularized structure, where each module is a separate part of the code that performs a specific task, so that parts of the workflow can be skipped or reordered. Auto-S2S is the GitLab repository for the ESS Verification Suite, a modular tool for subseasonal to seasonal to decadal forecast verification workflows. It is intended to have a modularized structure, where each module is a separate part of the code that performs a specific task, so that parts of the workflow can be skipped or reordered.
The datasets, forecast horizon, time period, skill metrics to compute and other parameters are specified by the user in a configuration file, called "recipe". The datasets, forecast horizon, time period, skill metrics to compute and other parameters are specified by the user in a configuration file, called "recipe".
- Modules currently available: Loading, Calibration, Skill, Saving - Modules currently available: Loading, Calibration, Skill, Saving, Visualization
- Modules in development: Visualization - Modules in development: Downscaling, Anomalies, Scorecards
- Future modules: Downscaling, Aggregation, Indicators - Future modules: Aggregation, Indicators
This tool is in the early stages of development, so the code and the information in this wiki may be subject to frequent changes and updates. This wiki contains all the information needed to use the available modules. This tool is in the early stages of development, so the code and the information in this wiki may be subject to frequent changes and updates. This wiki contains all the information needed to use the available modules.
......
Clone repository
  • Autosubmit
  • Current known bugs
  • FAQ
  • Operational Workflows with Jenkins
  • Home