Waterhackweek 2019 Cyberseminar: Workflows for gridded climate datasets

Resource type: Composite Resource
Storage: The size of this resource is 155.4 MB
Created: Aug 27, 2019 at 2:18 p.m.
Last updated: Aug 27, 2019 at 2:51 p.m.
Citation: See how to cite this resource
Sharing Status: Public
Views: 661
Downloads: 16
+1 Votes: Be the first one to 
Comments: No comments (yet)


Climate change, forecasting, satellite datasets, large model ensembles ... Large gridded datasets are everywhere in hydrology and earth science. While accessing and analyzing these datasets required some serious programming skills not so long ago, a number of toolkits are now available that let you easily access, ingest, analyze and display gridded climate datasets. In this webinar we’ll discuss one of the most common file formats used in our field for large data sets, the Network Common Data Format (NetCDF), and step through a Jupyter notebook to showcase python packages, such as xarray and cartopy, that can be used to examine them. No prior experience required, although we will build on some of the skills you have acquired in earlier webinars in the series.

Subject Keywords

Deleting all keywords will set the resource sharing status to private.

Resource Level Coverage


Start Date:
End Date:



This resource belongs to the following collections:
Title Owners Sharing Status My Permission
CUAHSI's 2019 Cyberseminar Series: Waterhackweek Anthony Castronova  Public &  Shareable Open Access

How to Cite

Nijssen, B., D. Gergel (2019). Waterhackweek 2019 Cyberseminar: Workflows for gridded climate datasets, HydroShare, http://www.hydroshare.org/resource/7763eaebc9d94a9aa4f1535372e87710

This resource is shared under the Creative Commons Attribution CC BY.



There are currently no comments

New Comment