10/29/2022 0 Comments Environmental Visualization Software![]() Department of Energy’s (DOE) Office of Biological and Environmental Research (BER) and NASA to advance the development of state-of-the-art tools in support of their science missions. The project team worked closely with current and proposed scientific programs within the U.S. Sign up now The UV-CDAT Consortium and Its Goals Get the most fascinating science news stories of the week in your inbox every Friday. ENVIRONMENTAL VISUALIZATION SOFTWARE UPDATEThis software is constantly being updated and improved, with the latest update of UV-CDAT released in October 2014. The Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) software project, started in 2010, uses the Python application programming interface combined with C/C++/Fortran implementations for performance-critical software that offers the best compromise between scalability and ease of use. ![]() Recent advances in high-performance computing technologies are enabling the production, storage, and analysis of multiple-petabyte output data sets.Ĭonsolidating interagency efforts, a partnership across government, academic, and private sectors has created a novel system that enables climate researchers to solve current and emerging data analysis and visualization challenges. ![]() A variety of grid schemes and temporal and spatial resolutions makes this task challenging even for small data sets. These complex, parallelized coupled system codes combine numerous complex submodels (ocean, atmosphere, land, biosphere, sea ice, land ice, etc.) that represent components of the larger complex climate system.Ĭlimate scientists learn from these simulations by comparing modeled and observed data. Various climate models implement mathematical approximations of nature in different ways, which are often based on differing computational grids. Increasingly large climate model simulations are enhancing our understanding of the processes and causes of anthropogenic climate change, thanks to very large public investments in high-performance computing at national and international institutions. ![]()
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