Implementing applications with the earth system modeling framework

Authors:
Chris Hill;Cecelia DeLuca;V. Balaji;Max Suarez;Arlindo da Silva;William Sawyer;Carlos Cruz;Atanas Trayanov;Leonid Zaslavsky;Robert Hallberg;Byron Boville;Anthony Craig;Nancy Collins;Erik Kluzek;John Michalakes;David Neckels;Earl Schwab;Shepard Smithline;Jon Wolfe;Mark Iredell;Weiyu Yang;Robert Jacob;Jay Larson
Affiliations:
Massachusetts Institute of Technology;National Center for Atmospheric Research;Geophysical Fluid Dynamics Laboratory;NASA Global Modeling and Assimilation Office;NASA Global Modeling and Assimilation Office;,NASA Global Modeling and Assimilation Office;NASA Global Modeling and Assimilation Office;NASA Global Modeling and Assimilation Office;NASA Global Modeling and Assimilation Office;Geophysical Fluid Dynamics Laboratory;National Center for Atmospheric Research;National Center for Atmospheric Research;National Center for Atmospheric Research;National Center for Atmospheric Research;National Center for Atmospheric Research;National Center for Atmospheric Research;National Center for Atmospheric Research;National Center for Atmospheric Research;National Center for Atmospheric Research;National Center for Environmental Prediction;National Center for Environmental Prediction;Argonne National Laboratory;Argonne National Laboratory
Venue:
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
Year:
2004

Citing 4
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Abstract

The Earth System Modeling Framework (ESMF) project is developing a standard software platform for Earth system models. The standard defines a component architecture superstructure and a support infrastructure. The superstructure allows earth scientists to develop complex software models with numerous components in a coordinated fashion. The infrastructure allows models to run efficiently on high performance computers. It offers capabilities that are commonly needed in Earth Science applications, for example, support for a broad range of discrete grids, regridding functions, and a distributed grid class which represents the data decomposition. We illustrate these features through a simplified finite-volume atmospheric model, and report the parallel performance of the underlying ESMF components.