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Welcome to the climate science community

Galaxy Climate

{:.no_toc}

The Climate Science workbench is a comprehensive set of analysis tools and consolidated workflows. The workbench is based on the Galaxy framework{:target="_blank"}, which guarantees simple access, easy extension, flexible adaption to personal and security needs, and sophisticated analyses independent of command-line knowledge.

The current implementation comprises a few tools dedicated to different research areas of climate science. More tools are coming soon!

The list of tools is maintained by Anne!!!

Content

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  1. TOC {:toc}

Get started

Are you new to Galaxy, or returning after a long time, and looking for help to get started? Take [a guided tour]({{ page.website }}/tours/core.galaxy_ui){:target="_blank"} through Galaxy's user interface.

Training

Want to learn more about Galaxy? Check out the following hands-on tutorials from the Galaxy Training Network{:target=_"blank"}.

We are passionate about training. So we are working in close collaboration with the Galaxy Training Network (GTN){:target="_blank"} to develop training materials of data analyses based on Galaxy {% cite batut2017community %}. These materials hosted on the GTN GitHub repository are available online at https://training.galaxyproject.org{:target="_blank"}.

Available tools

Interactive tools

Climate Analysis

Tool Description Reference
{% include tool.html id="cds_essential_variability" %} Copernicus Essential climate variables for assessment of climate variability from 1979 to present -
{% include tool.html id="shyft_longitudes" %} Shift longitude range in netCDF data file from 0->360 to -180->180 degrees -
{% include tool.html id="psy_maps" %} Visualization on a geographical map with psyplot -
{% include tool.html id="mean_per_zone" %} Plot zonal statistics from a raster and shapefile on a geographical map -
{: .table.table-striped .tooltable}

GIS data handling

Tool Description Reference
{% include tool.html id="gdal_gdalinfo" %} Lists information about a raster dataset -
{% include tool.html id="gdal_gdaladdo" %} Builds or rebuilds overview images -
{% include tool.html id="gdal_gdalbuildvrt" %} Builds a VRT (Virtual Dataset) from a list of datasets -
{% include tool.html id="gdal_gdal_merge" %} Mosaic a set of images -
{% include tool.html id="gdal_gdal_translate" %} Convert raster data between different formats -
{% include tool.html id="gdal_gdalwarp" %} Image reprojection and warping utility -
{% include tool.html id="gdal_ogr2ogr" %} Converts simple features data between file formats -
{% include tool.html id="gdal_ogrinfo" %} Lists information about an OGR-supported data source -
{: .table.table-striped .tooltable}

Machine Learning Workbench

For Machine Learning tools, use the Galaxy Machine Learning Workbench. To have access to all your Galaxy histories and data, make sure to login with the same username and password than on the Climate Science Workbench.

Acknowledgments

The authors would like to thank Bérénice Batut, Björn Grüning, Anup Kumar and @galaxyproject

Citation

Please add the following when using the climate.usegalaxy.eu Galaxy portal:

The Galaxy server that was used for some calculations is in part funded by Collaborative Research Centre 992 Medical Epigenetics (DFG grant SFB 992/1 2012) and German Federal Ministry of Education and Research (BMBF grants 031 A538A/A538C RBC, 031L0101B/031L0101C de.NBI-epi, 031L0106 de.STAIR (de.NBI)).

More information on how to cite Galaxy.