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.
Scott was part of the Computational Earth Sciences Group at Los Alamos National Laboratory (LANL) for the last four years until he began work at ORNL in October. While at LANL he led the development of two laboratory-directed projects on climate change impacts focusing on the terrestrial Arctic and upland watersheds. Scott visited CCSI in April and presented a talk on his LANL team’s new models for simulating the hydrologic response of Arctic tundra to a warming climate.
Image caption: Scott Painter gives a presentation for Climate Change Science Institute staff in April. Scott joined the institute in October.
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. Giri will also work closely with our strategy teams and management to develop and execute multi-year plans to adapt our computing architecture to the increasing demands of data volume, rates, complexity, and the challenges of high-resolution modeling. Organizationally, this position reports to the Chief Operating Officer of the ARM Climate Research Facility. Posted November 7, 2014 2:30 p.m.
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.
Image caption: The distribution of grasslands that convert carbon dioxide into energy in two different ways is represented for the present climate (2000–2010) in this image, with C3 grasslands shown in the top panel and C4 grasslands shown in the bottom panel.
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.
Seven Climate Change Science Institute (CCSI) scientists presented next-generation techniques for researching and analyzing the effects of global environmental change as part of the Ecological Society of America’s (ESA’s) 99th annual meeting held in August in Sacramento, California. Global environmental change is defined as the “changes in the global environment that may alter the capacity of the Earth to sustain life” by the U.S. Global Change Research Program, which is a government interagency made up of hundreds of science and climate experts, including Department of Energy researchers at Oak Ridge National Laboratory’s CCSI.
Image caption: Attendees of the global change workshop led by Climate Change Science Institute researchers at the 99th Ecological Society of America annual meeting held in August in Sacramento, California.
In an award-winning paper, the Oak Ridge National Laboratory Climate Change Science Institute’s (CCSI’s) Forrest Hoffman, Jitendra Kumar, and Richard Mills, along with William Hargrove of the US Department of Agriculture (USDA) Forest Service, present a quantitative methodology that establishes an optimal sampling strategy for collecting environmental data by classifying spatial areas based on their environmental characteristics. This method provides a framework for using sparse field measurements to best represent entire ecoregions and an approach for integrating models and data.