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Computational Earth Sciences

The Computational Earth Sciences group conducts research in computational methods for the prediction of global and regional climate. An emphasis is placed on the atmospheric dynamics and hydrology of earth systems.

Group Projects

• DOE Biological and Environmental Research Climate Change Prediction Program and the DOE Office of Science SciDAC Program
  • A Scalable and Extensible Earth System Model
  • Earth System Grid
• DOE Office of Science SciDAC Program
  • Multiscale Subsurface Reactive Flows
  • Performance Engineering for the Next Generation Community Climate System Model
• NASA Carbon Assimilation for the Orbiting Carbon Observatory
• USDA Ecosystem Modeling
• ORNL LDRD - Economic modeling and climate feedbacks

Research Sponsors

• The current Earth System Modeling projects are sponsored by the DOE Office of Science SciDAC Program. This program is titled Scientific Discovery through Advanced Computing, is exploring and developing the third leg of modern science - simulation - as a paradigm complementing experiment and theory. Funding for these projects is primarily for model development and comes from the DOE Office of Biological and Environmental Research, Climate Research Division.
• The application of the models falls into the applied earth sciences area and takes on a variety of forms requiring specialized techniques of data assimilation, and data analysis. Our sponsors for this area are NASA Earth Missions as well as DOE OBER.
• Mathematical aspects of our modeling work are partially sponsored by the Office of Advanced Scientific Computing Research
• Work on GCM Downscaling and Economic Impacts is supported by the ORNL LDRD program.

Publications

SciDAC Projects

• A Scalable and Extensible Earth System Model for Climate Change Science
• Performance Engineering for the Next Generation Community Climate System Model (SAP)
• Modeling Multiscale-Multiphase-Multicomponent Subsurface Reactive Flows using Advanced Computing
• Alumni Project -- CCSM: Collaborative Design and Development of the Community Climate System Model for Terascale Computers

Staff

• Marcia Branstetter (branstetterm@ornl.gov) - Hydrology and river flows
• David Erickson (ericksondj@ornl.gov) - Atmospheric chemistry
• Kate Evans (evanskj@ornl.gov) - Atmospheric dynamics and numerical methods
• Michael Ham (hammw@ornl.gov) - Meteorology and computer science
• Bill Hargrove (visiting scientist) - Landscape ecology
• Forrest Hoffman (hof@ornl.gov) - Land and carbon modeling
• G. Mahinthakumar (kumar@ornl.gov) - Hydrology and performance modeling
• Richard Mills (rmills@ornl.gov) - Hydrology and computational methods
• Trey White (trey@ornl.gov) - Computational methods
• Patrick Worley (worleyph@ornl.gov) - Computer Science and performance modeling

Posters

• The Carbon-Land Model Intercomparison Project (C-LAMP): A Protocol and Metrics for Model-Data Comparison
• A Cluster Analysis Approach to Comparing Atmospheric Radiation Measurement (ARM) Data with Global Climate Model (GCM) Results

Presentations

The Computational Earth Sciences Group meets every Tuesday morning at 9am.