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Climate Modeling using High-Performance Computing
Author(s) -
A.A. Mirin,
M. Wickett
Publication year - 2006
Language(s) - English
Resource type - Reports
DOI - 10.2172/928554
Subject(s) - national laboratory , supercomputer , massively parallel , computer science , climate model , variety (cybernetics) , climate science , climate change , meteorology , computational science , parallel computing , engineering , engineering physics , geography , ecology , artificial intelligence , biology
The Center for Applied Scientific Computing (CASC) and the LLNL Climate and Carbon Science Group of Energy and Environment (E&E) are working together to improve predictions of future climate by applying the best available computational methods and computer resources to this problem. Over the last decade, researchers at the Lawrence Livermore National Laboratory (LLNL) have developed a number of climate models that provide state-of-the-art simulations on a wide variety of massively parallel computers. We are now developing and applying a second generation of high-performance climate models

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