Welcome to the climate science community

The Climate Science workbench is a comprehensive set of analysis tools and consolidated workflows. The workbench is based on the Galaxy framework, 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

1. Welcome to the climate science community
2. Get started
3. Training
4. Available tools
   1. Interactive tools
   2. Climate Analysis
   3. GIS data handling
5. Machine Learning Workbench
6. Acknowledgments
7. Citation

Get started

Are you new to Galaxy, or returning after a long time, and looking for help to get started? Take a guided tour through Galaxy’s user interface.

Training

• Galaxy 101 for everyone
• Climate Galaxy Training

Want to learn more about Galaxy? Check out the following hands-on tutorials from the Galaxy Training Network.

We are passionate about training. So we are working in close collaboration with the Galaxy Training Network (GTN) to develop training materials of data analyses based on Galaxy (Batut et al., 2017). These materials hosted on the GTN GitHub repository are available online at https://training.galaxyproject.org.

Available tools

Interactive tools

• Panoply netCDF viewer
• JupyterLab for Ocean / Atmosphere / Land / Climate Pangeo Python ecosystem with:
  • PANGEO python ecosystem: PANGEO is a community platform for Big Data geoscience;
  • Community Earth System Models (CESM) development & Training platform: The Community Earth System Model (CESM) is a fully-coupled, global climate model that provides state-of-the-art computer simulations of the Earth’s past, present, and future climate states.
  • ESMValTool: a community diagnostic and performance metrics tool for routine evaluation of Earth system models in the Coupled Model Intercomparison Project (CMIP). The JupyterLab ESMValTool environment can be used for developing new diagnostic recipes and as a teaching platform.

Climate Analysis

Tool	Description	Reference
cds_essential_variability	Copernicus Essential climate variables for assessment of climate variability from 1979 to present	-
shyft_longitudes	Shift longitude range in netCDF data file from 0->360 to -180->180 degrees	-
psy_maps	Visualization on a geographical map with psyplot	-
mean_per_zone	Plot zonal statistics from a raster and shapefile on a geographical map	-

GIS data handling

Tool	Description	Reference
gdal_gdalinfo	Lists information about a raster dataset	-
gdal_gdaladdo	Builds or rebuilds overview images	-
gdal_gdalbuildvrt	Builds a VRT (Virtual Dataset) from a list of datasets	-
gdal_gdal_merge	Mosaic a set of images	-
gdal_gdal_translate	Convert raster data between different formats	-
gdal_gdalwarp	Image reprojection and warping utility	-
gdal_ogr2ogr	Converts simple features data between file formats	-
gdal_ogrinfo	Lists information about an OGR-supported data source	-

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.

Our Data Policy

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User data on UseGalaxy.eu (i.e. datasets, histories) will be available as long as they are not deleted by the user. Once marked as deleted the datasets will be permanently removed within 14 days. If the user "purges" the dataset in the Galaxy, it will be removed immediately, permanently. An extended quota can be requested for a limited time period in special cases.	Processed data will only be accessible during one browser session, using a cookie to identify your data. This cookie is not used for any other purposes (e.g. tracking or analytics). If UseGalaxy.eu service is not accessed for 90 days, those datasets will be permanently deleted.	Any user data uploaded to our FTP server should be imported into Galaxy as soon as possible. Data left in FTP folders for more than 3 months, will be deleted.	The Galaxy service complies with the EU General Data Protection Regulation (GDPR). You can read more about this on our Terms and Conditions.