Automatic differentiation as a tool for sensitivity analysis of a convective storm in a 3-D cloud model

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The ADIFOR automatic differentiation tool is applied to a 3-D storm-scale meteorological model to generate a sensitivity-enhanced code capable of providing derivatives of all model output variables and related diagnostic (derived) parameters as a function of specified control parameters. The tangent linear approximation, applied to a deep convective storm by the first of its kind using a full-physics compressible model, is valid up to 50 min for a 1% water vapor perturbations. The result is very encouraging considering the highly nonlinear and discontinuous properties of solutions. The ADIFOR-generated code has provided valuable sensitivity information on storm dynamics. Especially, it is ... continued below

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11 p.

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Park, S. K.; Droegemeier, K. K. & Bischof, C. H. October 1996.

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Description

The ADIFOR automatic differentiation tool is applied to a 3-D storm-scale meteorological model to generate a sensitivity-enhanced code capable of providing derivatives of all model output variables and related diagnostic (derived) parameters as a function of specified control parameters. The tangent linear approximation, applied to a deep convective storm by the first of its kind using a full-physics compressible model, is valid up to 50 min for a 1% water vapor perturbations. The result is very encouraging considering the highly nonlinear and discontinuous properties of solutions. The ADIFOR-generated code has provided valuable sensitivity information on storm dynamics. Especially, it is very efficient and useful for investigating how a perturbation inserted at earlier time propagates through the model variables at later times. However, it is computationally very expensive to be applied to the variational data assimilation, especially for 3-D meteorological models, which potentially have a large number of input variables.

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11 p.

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OSTI as DE96014864

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  • 2. SIAM international conference on automatic differentiation, Santa Fe, NM (United States), 12-14 Feb 1996

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  • Other: DE96014864
  • Report No.: ANL/MCS-P--582-0496
  • Report No.: CONF-960226--2
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 392797
  • Archival Resource Key: ark:/67531/metadc683452

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  • October 1996

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  • July 25, 2015, 2:20 a.m.

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  • Dec. 16, 2015, 10:58 a.m.

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Park, S. K.; Droegemeier, K. K. & Bischof, C. H. Automatic differentiation as a tool for sensitivity analysis of a convective storm in a 3-D cloud model, article, October 1996; Illinois. (digital.library.unt.edu/ark:/67531/metadc683452/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.