Getting started with UV-CDAT

Getting started with UV-CDAT

Ultra-scale Visualisation Climate Data Analysis Tools (UV-CDAT) is an open source, python-based framework of client-side tools, including a dashboard GUI front-end tool that can be used for the retrieval, analysis and visualisation of Earth System data. The CWSLab installation of UV-CDAT 2.0.0 provides improved scientific visualization of large-scale climate data sets and the data-provenance capture and mechanisms which support data analysis via the VisTrails infrastructure.

The UV-CDAT 2.0.0 release installed at NCI includes:

  • The Climate Data Analysis Tools (CDAT) framework for the analysis, visualisation, and management of large-scale distributed climate data;
  • ParaView: an open-source, multi-platform, parallel-capable visualisation tool;
  • VisTrails, an open-source scientific workflow and provenance management system that supports data exploration and visualisation;
  • R: open-source statistical analysis and plotting software;
  • Custom packages (e.g. DV3D).

To get started you need an NCI account, with access to storage and computational time, and follow the instructions to login to the CWS Analysis Desktop (VDI).

To launch UV-CDAT: Select UV-CDAT from the “Applications > Science” menu of the VDI.

To search and load data: Under the “Variables” panel on the top right, click on the green “+”.¬† Click the “File” tab then either:

  • Enter the filename (eg. /g/data1/rrX/….), or
  • Browse files by clicking the “…” at the end of the File textbox, then select ‘File System’, then double click on “g”, then “data1” etc

More information, including Documentation and User Guides of some of the common utilities, can be found on the official UVCDAT web page