Computer Science Meets Ecology: Hoffman Presents Research at Dagstuhl Seminar
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.
Climate Change Science Institute releases FY 2016 annual report
The Climate Change Science Institute at Oak Ridge National Laboratory released its FY 2016 annual report. All of us at the Climate Change Science Institute are proud to be part of this important research effort. In this report, you will be able to get a glimpse of this year’s efforts to advance climate models, understand critical processes in human and natural ecosystems, archive and use key data sets, and explore ways society can deal with a changing climate.