Workflows

What is a Workflow?
9 Workflows visible to you, out of a total of 9
Stable

This workflow demonstrates the usage of the Community Earth System Model on Galaxy Europe.

A fully coupled B1850 compset with resolution f19_g17 is run for 1 month.

Type: Galaxy

Creators: None

Submitter: Anne Fouilloux

Stable

This workflow demonstrates the usage of EODIE, a toolkit to extract object based timeseries information from Earth Observation data.

EODIE is a toolkit to extract object based timeseries information from Earth Observation data.

The EODIE code can be found on Gitlab .

The goal of EODIE is to ease the extraction of time series information at object level. Today, vast amounts of Earth Observation data are available to the users via for example earth explorer ...

Type: Galaxy

Creator: Anne Fouilloux

Submitter: Anne Fouilloux

DOI: 10.48546/workflowhub.workflow.274.1

Work-in-progress

Abstract CWL Automatically generated from the Galaxy workflow file: GTN 'Pangeo 101 for everyone - Introduction to Xarray'.

In this tutorial, we analyze particle matter < 2.5 μm/m3 data from Copernicus Atmosphere Monitoring Service to understand Xarray Galaxy Tools:

  • Understand how an Xarray dataset is organized;
  • Get metadata from Xarray dataset such as variable names, units, coordinates (latitude, longitude, level), etc;
  • Plot an Xarray dataset on a geographical map and learn to customize ...

Type: Galaxy

Creators: None

Submitter: Anne Fouilloux

Stable

This workflow extracts 5 different time periods e.g. January- June 2019, 2020 and 2021, July-December 2019 and 2020 over a single selected location. Then statistics (mean, minimum, maximum) are computed. The final products are maximum, minimum and mean.

Type: Galaxy

Creators: None

Submitter: Anne Fouilloux

DOI: 10.48546/workflowhub.workflow.251.1

Stable

This workflow is used to process timeseries from meteorological stations in Finland but can be applied to any timeseries according it follows the same format.

Take a temperature timeseries from any meteorological station. Input format is csv and it must be standardized with 6 columns:

  1. Year (ex: 2021)
  2. month (ex: 1)
  3. day (ex: 15)
  4. Time (ex: 16:56)
  5. Time zone (such as UTC)
  6. Air temperature (degC)

Type: Galaxy

Creators: None

Submitter: Anne Fouilloux

Stable

Abstract CWL Automatically generated from the Galaxy workflow file: CLM-FATES_ ALP1 simulation (5 years)

Type: Galaxy

Creators: None

Submitter: Anne Fouilloux

Work-in-progress

Description: SSP-based RCP scenario with high radiative forcing by the end of century. Following approximately RCP8.5 global forcing pathway with SSP5 socioeconomic conditions. Concentration-driven. Rationale: the scenario represents the high end of plausible future pathways. SSP5 is the only SSP with emissions high enough to produce the 8.5 W/m2 level of forcing in 2100.

This workflow is answering to the following scientific question:

  • Is it worth investing in artificial snowmaking equipment ...

Type: Jupyter

Creators: None

Submitter: Anne Fouilloux

Work-in-progress

Abstract CWL Automatically generated from the Galaxy workflow file: Workflow with Copernicus Essential Climate Variable - select and plot

Type: Galaxy

Creators: None

Submitter: Anne Fouilloux

Stable

The tutorial for this workflow can be found on Galaxy Training Network

Type: Galaxy

Creator: Anne Fouilloux

Submitter: Bert Droesbeke

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