Visualization of Climate Data using NetCDF Xarray Map Plotting

Associated Tutorial

This workflows is part of the tutorial Visualization of Climate Data using NetCDF xarray Map Plotting, available in the GTN

Thanks to...

Workflow Author(s): Soumya Jha

Tutorial Author(s): Soumya Jha ...

Visualize Climate data with Panoply netCDF viewer

Associated Tutorial

This workflows is part of the tutorial Getting your hands-on climate data, available in the GTN

Thanks to...

Workflow Author(s): Anne Fouilloux

Tutorial Author(s): Anne Fouilloux

[![gtn star ...

Workflow for GTN Pangeo 101 for everyone - Introduction to Xarray

Associated Tutorial

This workflows is part of the tutorial Pangeo ecosystem 101 for everyone - Introduction to Xarray Galaxy Tools, available in the GTN

Thanks to...

Workflow Author(s): Anne Fouilloux

Tutorial Author(s): Anne Fouilloux ...

Functionally Assembled Terrestrial Ecosystem Simulator (FATES)

Associated Tutorial

This workflows is part of the tutorial Functionally Assembled Terrestrial Ecosystem Simulator (FATES), available in the GTN

Thanks to...

Workflow Author(s): Anne Fouilloux

Tutorial Author(s): Anne Fouilloux, ...

Workflow for GTN Pangeo Notebook in Galaxy - Introduction to Xarray

Associated Tutorial

This workflows is part of the tutorial Pangeo Notebook in Galaxy - Introduction to Xarray, available in the GTN

Thanks to...

Workflow Author(s): Anne Fouilloux

Tutorial Author(s): Anne Fouilloux ...

From Copernicus Sentinel 5P data to panoply visualization of volcanic activity impact to atmosphere

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 ...

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)

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 ...

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

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