An automatic differentiation technique for sensitivity analysis of numerical advection schemes in air quality models
作者: Dongming HwangDaewon W. ByunM. Talat Odman
作者单位: 1Environmental Programs, MCNC-North Carolina Supercomputing Center, 3021 Cornwallis Road, Research Triangle Park, NC 27709-2889, U.S.A.
2Atmospheric Sciences Modeling Division, Air Resources Laboratory, National Oceanic and Atmospheric Administration, Research Triangle Park, NC 27711, U.S.A.
刊名: Atmospheric Environment, 1997, Vol.31 (6), pp.879-888
来源数据库: Elsevier Journal
DOI: 10.1016/S1352-2310(96)00240-3
关键词: Sensitivity coefficientsADIFORadvection process
原始语种摘要: Abstract(#br)Sensitivity analysis, which characterizes the change in model output due to variations in model input parameters, is of critical importance in simulation models. Sensitivity coefficients, defined as the partial derivatives of the model output with respect to the input parameters, are useful in assessing the reliability of the output from a complex model with many uncertainty parameters. Most existing sensitivity methods, however, have one or more of the following limitations: inaccuracy in the results, high cost in human effort, and difficulty in mathematical formulation and computer program implementation. To overcome these limitations, we are exploring ADIFOR, an automatic differentiation technique for systematically studying sensitivities. One can apply ADIFOR without...
全文获取路径: Elsevier  (合作)
影响因子:3.11 (2012)

  • automatic 自动的
  • sensitivity 灵敏度
  • technique 技术
  • advection 平流
  • brute 强制
  • demonstrate 说明
  • computer 电子计算机
  • parameters 参数
  • computational 计算的
  • analysis 分析