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Resolution Dependence in Modeling Extreme Weather Events

  • John Taylor
  • Jay Larson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2073)

Abstract

At Argonne National Laboratory we have developed a high performance regional climate modeling simulation capability based on the NCAR MM5v3.4. The regional climate simulation system at Argonne currently includes a Java-based interface to allow rapid selection and generation of initial and boundary conditions, a high-performance version of MM5v3.4 modified for long climate simulations on our 512-processor Beowulf cluster (Chiba City), an interactive Web-based analysis tool to facilitate analysis and collaboration via the Web, and an enhanced version of the CAVE5d software capable of working with large climate data sets. In this paper we describe the application of this modeling system to investigate the role of model resolution in predicting extreme events such as the “Hurricane Huron” experiments at 80, 40, 20, and 10 km grid resolution over an identical spatiotemporal domain. We conclude that increasing model resolution leads to dramatic changes in the vertical structure of the simulated atmosphere producing significantly different representations of rainfall and other parameters critical to the assesment of impacts of climate change.

Keywords

Grid Resolution Argonne National Laboratory High Model Resolution Regional Climate Simulation Resolution Dependence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • John Taylor
    • 1
    • 2
  • Jay Larson
    • 1
  1. 1.Argonne National LaboratoryMathematics & Computer ScienceArgonne
  2. 2.Environmental Research DivisionArgonne National LaboratoryArgonne

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