Resolution dependence in modeling extreme weather events.

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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 ... continued below

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8 pages

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Taylor, J. & Larson, J. April 13, 2001.

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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'' event of 11-15 September 1996. We have performed a series of ''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 assessment of impacts of climate change.

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8 pages

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  • 2001 International Conference on Computational Science, San Francisco, CA (US), 05/28/2001--05/30/2001

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  • Report No.: ANL/MCS/CP-104584
  • Grant Number: W-31-109-ENG-38
  • Office of Scientific & Technical Information Report Number: 781257
  • Archival Resource Key: ark:/67531/metadc725398

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  • April 13, 2001

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  • Sept. 29, 2015, 5:31 a.m.

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  • March 29, 2016, 9:07 p.m.

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Taylor, J. & Larson, J. Resolution dependence in modeling extreme weather events., article, April 13, 2001; Illinois. (digital.library.unt.edu/ark:/67531/metadc725398/: accessed October 16, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.