UV-CDAT builds on the following key technologies:
- The Climate Data Analysis Tools (CDAT) framework developed at LLNL for the analysis, visualization, and management of large-scale distributed climate data;
- ParaView: an open-source, multi-platform, parallel-capable visualization tool with recently added capabilities to better support specific needs of the climate-science community;
- VisTrails, an open-source scientific workflow and provenance management system that supports data exploration and visualization;
- VisIt: an open-source, parallel-capable, visual-data exploration and analysis tool that is capable of running on a diverse set of platforms, ranging from laptops to the Department of Energy's largest supercomputers.
- Tightly coupled integration of the CDAT Core with the VTK/ParaView infrastructure to provide high-performance, parallel-streaming data analysis and visualization of massive climate-data sets (other tighly coupled tools include VCS, VisTrails, DV3D, and ESMF/ESMP);
- Loosely coupled integration to provide the flexibility of using tools quickly in the infrastructure such as ViSUS, VisIt, R, and MatLab for data analysis and visualization as well as to apply customized data analysis applications within an integrated environment.
https://github.com/UV-CDAT/uvcdat/wiki
https://uvcdat.llnl.gov/index.html
Installation
conda create -n uvcdat -c uvcdat uvcdat hdf5=1.8.16 pyqt=4.11.3
source activate uvcdat
source deactivate uvcdat
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