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).
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.
Giri Palanisamy, a scientist with the Atmospheric Radiation Measurement (ARM) Archive and the Climate Change Science Institute, has been named the ARM Data Service and Operations manager. In this position, Giri will be responsible for the leadership and management of the Archive, Data Management Facility, External Data Center, and Site Data Systems. The primary focus is on product delivery and includes the operations and engineering necessary to sustain and advance excellence in this area.
Researchers with Oak Ridge National Laboratory’s (ORNL’s) Climate Change Science Institute (CCSI) are part of a multipartner team that is evaluating how the structures of terrestrial biosphere models (TBMs) influence the results of model simulations. TBMs are just one component of global climate models and are also used independently to study carbon exchange between the land and atmosphere in the form of carbon dioxide, methane, and other carbon compounds.
Australian governments on the local to national level are preparing for increased erosion, storm damage, and sea-level rise along the country's coastlines as a changing climate poses new risks. One group committed to enabling such preparation is the Sydney Coastal Councils Group, which won Highly Commended status for its leadership in coastal management as part of a 2014 Climate Adaptation Champions awards presented by the National Climate Change Adaptation Research Facility in Australia. Critical to this leadership was the work done by Climate Change Science Institute Deputy Director Benjamin Preston and staff research associate Meghan Maloney, whom the group commissioned to develop an evaluation tool for assessing protections to community infrastructure, health, and safety based on a risk-management framework.
National Center for Computational Science Director Jim Hack is among the speakers invited to the Smithsonian Institution's 2014 Grand Challenges Consortia. Similar to the 2012 conference, this year's meeting will focus on the Anthropocenene, the informal name given to the current period of geologic time in which many scientists consider humans a major driver in climatic and environmental change on Earth. Jim was the founding director of ORNL's Climate Change Science Institute and served as director from 2010 - 2013.
Four other panelists will join Jim to discuss issues related to fossil fuel use, urbanization, transportation and more. Topics will also include addressing unavoidable climate changes and developing adaptive societies and cultural institutions.
Oak Ridge National Laboratory (ORNL) is one of eight Department of Energy (DOE) laboratories that will use high-performance computing (HPC) to develop the most sophisticated Earth system model to date for climate change research with scientific and energy applications. The national labs are collaborating with the National Center for Atmospheric Research, four academic institutions, and one private-sector company on this long-term project, known as Accelerated Climate Modeling for Energy, or ACME. Many of the ORNL team members are also Climate Change Science Institute (CCSI) researchers.
DOE and ORNL have been major drivers of Earth system models in recent decades, and ACME will provide scientists with Earth system models that take advantage of upcoming milestones in computing capability. As new HPC architectures support computing power at hundreds of petaflops and then exaflops (a thousand petaflops), more expansive simulations will enable finer climate predictions.
And with more computing power comes significant expectations for scientific discovery.