OAK RIDGE, Tenn., April 1, 2015—Researchers from the Department of Energy’s Oak Ridge National Laboratory will play key roles in an expansive new project that aims to bring the future of tropical forests and the climate system into much clearer focus by coupling field research with the development of a new ecosystem model. The project is called the Next Generation Ecosystem Experiments-Tropics, or NGEE-Tropics.
High-Order Adaptive Mesh Refinement (AMR) and Variable-Resolution Techniques for Atmospheric General Circulation Models
The talk reviews two approaches to high-order variable-resolution modeling that have recently been designed for atmospheric General Circulation Models. The first approach is based on the Adaptive Mesh Refinement (AMR) library Chombo that supports fourth-order finite volume methods for block-structured adaptive meshes on cubed-sphere grids. The Chombo-AMR model has been jointly developed by the Lawrence Berkeley National Laboratory and the University of Michigan. The second variable-resolution approach is based on the Spectral Element (SE) dynamical core that has been implemented on a cubed-sphere grid in the Community Atmosphere Model (CAM). The latter has been jointly developed by NCAR and various Department of Energy laboratories.
The talk discusses the characteristics of both variable-resolution methods using a hierarchy of test cases and flow scenarios. In particular, the AMR-Chombo model is evaluated in the 2D shallow-water framework, and various refinement criteria are compared. The CAM-SE model is assessed in an idealized 3D dynamical core framework as well as in aqua-planet and realistic configurations. Special attention is paid to the flow conditions in the grid transition regions to assess whether spurious noise is present. The talk highlights the many application areas of variable-resolution techniques which e.g. span tropical cyclone forecasting and regional climate modeling.
Members of the Oak Ridge National Laboratory (ORNL) Climate Change Science Institute and the National Center for Computational Sciences were part of a team that won the prestigious Federal Laboratory Consortium (FLC) Interagency Partnership Award for 2015 for the Ultra-Scale Visualization Climate Data Analysis Tools (UV-CDAT) project. The award will be presented at the FLC annual meeting in Denver in April.
Now in its third year, the Oak Ridge National Laboratory Climate Change Science Institute’s (CCSI’s) Model-Data Fusion project (as it is called for short) consolidates data from satellite imaging, remote sensing, and fieldwork in Arctic Alaska to assess the thawing of permafrost, or frozen soil, and its impact on carbon release and uptake.
Members of Oak Ridge National Laboratory’s (ORNL’s) Climate Change Science and Urban Dynamics Institutes, in collaboration with team members from the US Department of Homeland Security (DHS) and other US Department of Energy national laboratories, have been awarded the DHS Office of Infrastructure Protection’s Trailblazer Award for their contributions to a DHS project known as the Regional Resiliency Assessment Program (RRAP).
James Hack, director of the National Center for Computational Sciences at the Department of Energy’s Oak Ridge National Laboratory (ORNL), has been elected a 2015 Fellow by the American Meteorological Society (AMS). Hack, also founding director of ORNL’s Climate Change Science Institute, was cited for his “outstanding contributions to advancing the atmospheric and related sciences, technologies, applications and services for the benefit of societ
The Climate Change Science Institute (CCSI) at Oak Ridge National Laboratory (ORNL) welcomes subsurface flow and reactive transport modeler Scott Painter. Scott is joining multiple ORNL projects, including the Next-Generation Ecosystem Experiments (NGEE)–Arctic and NGEE–Tropics. He will also lead one of the use cases for the new Interoperable Design of Extreme-scale Application Software (IDEAS) project, which he helped develop.