U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights

Chief Computational Scientist of Climate End Station at Oak Ridge National Laboratory Interviewed by HPCwire
Published: April 28, 2008
Posted: May 14, 2008

Dr. John Drake, Chief Computational Scientist for the Climate End Station at Oak Ridge National Laboratory and Principal Investigator on a DOE Scientific Discovery through Advanced Computing Project (SciDAC) on Climate Modeling, was recently interviewed by HPCwire about petascale computing in advanced climate research and future associated climate change assessments, e.g. the 2013 IPCC (Intergovernmental Panel on Climate Change). Dr. Drake discussed the need to include new physical science effects like ice sheet dynamics as well as biogeochemical processes and emphasized the critical importance of petascale computing to allow ultra-high resolution simulations to the order of fractions of a degree in angular scales (1-10 kilometers). The Climate End Station received a prestigious DOE INCITE (Innovative and Novel Computational Impact on Theory and Experiment) award in 2008 for computing time. The full interview can be viewed at [website]

Contact: BER: Anjuli Bamzai, SC-23.3, (301) 903-0294, ASCR: Barb Helland SC- 21, (301) 903-3127
Topic Areas:

  • Research Area: Earth and Environmental Systems Modeling
  • Cross-Cutting: Scientific Computing and SciDAC
  • Cross-Cutting: Lectures, Awards, and Recognition

Division: SC-23.1 Climate and Environmental Sciences Division, BER
      (formerly SC-23.3 Climate Change Research Division, OBER)


BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]

May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]

May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]

May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]

Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]

List all highlights (possible long download time)