Predicting Ice Sheet and Climate Evolution on Extreme Scales (PISCEES) Final Report
- National Center for Atmospheric Research, Boulder, CO (United States)
Predicting Ice Sheet and Climate Evolution at Extreme Scales (PISCEES) PISCEES is a SciDAC Earth System Modeling project with the following goals: To develop and apply robust, accurate, and scalable dynamical cores for ice sheet modeling on structured and unstructured meshes with adaptive refinements To evaluate ice sheet models using new tools and data sets for verification and validation (V&V) and uncertainty quantification (UQ) To integrate these models and tools into DOE's Accelerated Climate Model for Energy (ACME) using improved estimates of ice sheet initial conditions, we will simulate decade-to-century-scale evolution of the Greenland and Antarctic ice sheets, running PISCEES ice sheet models both in standalone mode and coupled to ACME. We aim to provide useful, credible predictions, including uncertainty ranges, of future ice-sheet mass loss and resulting changes in climate and sea level. PISCEES is jointly funded by the Office of Biological and Environmental Research (BER) and the Office of Advanced Scientific Computing Research (ASCR) of the DOE Office of Science. Participating institutions: Los Alamos National Laboratory (LANL) Lawrence Berkeley National Laboratory (LBNL) Oak Ridge National Laboratory (ORNL) Sandia National Laboratories (SNL) Florida State University (FSU) Massachusetts Institute of Technology (MIT) University of South Carolina (USC) University of Texas at Austin (UT) National Center for Atmospheric Research (NCAR) (https://www.scidac.gov/PISCEES/).
- Research Organization:
- University Corporation for Atmospheric Research, 3090 Center Green Dr., Boulder, CO 80301-2252
- Sponsoring Organization:
- USDOE Office of Science (SC)
- Contributing Organization:
- Los Alamos National Laboratory (LANL)
- DOE Contract Number:
- SC0008056
- OSTI ID:
- 1468820
- Report Number(s):
- DOE-UCAR/NCAR-08056-1
- Country of Publication:
- United States
- Language:
- English
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