News

Simulating Extreme Storms over the Alabama-Coosa-Tallapoosa River Basin

PMP is defined as the largest rainfall depth that could physically occur under a series of adverse atmospheric conditions. It is the design standard of highly important energy-water infrastructures such as dams and nuclear power plants. To understand how PMP may respond to projected future climate forcings, a physics-based numerical weather simulation model was used to estimate PMP across various durations and areas.

Salil Mahajan: Gaining Perspective on Climate Variability with High-Resolution Modeling

Simulating the global climate in high resolution at multiple scales will help answer questions about future global and regional climates. However, as performance expectations increase for Earth system models, so do computing challenges. Salil Mahajan, a computational climate scientist in the Computational Earth Sciences group at the Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL), is tackling some of these challenges in high-performance computing for climate science.

Computer Science Meets Ecology: Hoffman Presents Research at Dagstuhl Seminar

Forrest M. Hoffman

Dr. Forrest M. Hoffman participated in the Dagstuhl Seminar, held February 26–March 1, in Wadern, Germany. Seminars at Dagstuhl bring together researchers of international standing and promote professional interaction as well as open discussion of leading research ideas and results. They are sponsored by the Schloss Dagstuhl–Leibniz Center for Informatics, a nonprofit center with the mission of furthering world-class research in computer science.

When (model) worlds collide

When computational Earth system scientists get together, there are bound to be marathon efforts to confront models with new data. That’s what happened in May 2016, when more than 60 of the world’s leading climate and Earth system modelers gathered in Washington for the second US ILAMB Workshop. ILAMB, which stands for the International Land Model Benchmarking Project, is an international model–data comparison and integration activity designed to improve the performance of land surface models (LSMs) and inform the design of new experiments to reduce the uncertainties associated with key land surface processes.

AXICCS 2016 Workshop Cultivates Big Ideas in Computational Climate Science

To explore new directions in climate modeling and simulation, a forward-thinking workshop on “Advancing Cross-Cutting Ideas for Computational Climate Science” (known as AXICCS) invited the scientific and research community to address future computational challenges in climate science. Climate scientists, computer scientists, and applied mathematicians joined in a community-driven effort to advance global climate models through cross-disciplinary collaboration.