To support interactive visualization and analysis of complex, large-scale climate data sets, UV-CDAT integrates a powerful set of scientific computing libraries and applications to foster more efficient knowledge discovery. Connected through a provenance framework, the UV-CDAT components can be loosely coupled for fast integration or tightly coupled for greater functionality and communication with other components. This framework addresses many challenges in the interactive visual analysis of distributed large-scale data for the climate community
Abstract: Ultra-scale data analysis has created many new challenges for visualization. For example, ...
This paper describes the progressive development of three approaches of successively increasing anal...
Climate Wikience is a desktop application for fast 3D visualization and analysis of retrospective cl...
C limate scientists have made sub-stantial progress in understand-ing the Earth’s climate system, pa...
Collaboration across research, government, academic, and private sec-tors is integrating more than 7...
Earth system scientists are being inundated by an explosion of data generated by ever-increasing res...
Being able to incorporate, inspect, and analyze data with newly developed technologies, diagnostics,...
The Climate Data Analysis Tool (CDAT) is designed to provide the Program for Climate Model Diagnosis...
The project "Analyzing and visualizing next generation climate data" adds block-structured (mosaic) ...
Big climate data offers great opportunities for scientific discovery but demands efficient and effec...
In a time of global change and global resource constraints the academic community is constantly seek...
Web based visualization of large climate data sets Alder, J. R., & Hostetler, S. W. (2015). Web...
To the best of our knowledge, one or more authors of this paper were federal employees when contribu...
AbstractThe use of increasingly sophisticated means to simulate and observe natural phenomena has le...
Scientific experimentation related to analysis and prediction of climate changes is highly dynamic a...
Abstract: Ultra-scale data analysis has created many new challenges for visualization. For example, ...
This paper describes the progressive development of three approaches of successively increasing anal...
Climate Wikience is a desktop application for fast 3D visualization and analysis of retrospective cl...
C limate scientists have made sub-stantial progress in understand-ing the Earth’s climate system, pa...
Collaboration across research, government, academic, and private sec-tors is integrating more than 7...
Earth system scientists are being inundated by an explosion of data generated by ever-increasing res...
Being able to incorporate, inspect, and analyze data with newly developed technologies, diagnostics,...
The Climate Data Analysis Tool (CDAT) is designed to provide the Program for Climate Model Diagnosis...
The project "Analyzing and visualizing next generation climate data" adds block-structured (mosaic) ...
Big climate data offers great opportunities for scientific discovery but demands efficient and effec...
In a time of global change and global resource constraints the academic community is constantly seek...
Web based visualization of large climate data sets Alder, J. R., & Hostetler, S. W. (2015). Web...
To the best of our knowledge, one or more authors of this paper were federal employees when contribu...
AbstractThe use of increasingly sophisticated means to simulate and observe natural phenomena has le...
Scientific experimentation related to analysis and prediction of climate changes is highly dynamic a...
Abstract: Ultra-scale data analysis has created many new challenges for visualization. For example, ...
This paper describes the progressive development of three approaches of successively increasing anal...
Climate Wikience is a desktop application for fast 3D visualization and analysis of retrospective cl...