Introduction of a genetic algorithm to a mass-consistent model

Masayoshi Harada, Shizuo Hayashi, Kenji Wakimizu

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In this paper, Gaussian precision moduli (weights) included in the mass-consistent model, which is one of numerical simulations predicting the three-dimensional wind fields based on the wind measurements, was examined. In the mass-consistent model, reasonable wind fields are calculated by adjusting the first estimated values interpolated from several observed results to satisfy mass conservation utilizing the calculus of variation. Gaussian precision moduli decide distributions of modifications for each component of wind velocities, and directly affect the calculated results. Optimal values of these coefficients were estimated by using a genetic algorithm so as to minimize the deviation between the observed values and the calculated results. As a result, the ratio of weights in the horizontal components was affected by the direction of the eminent wind, regardless of the same condition for the stability of atmosphere. In conclusion, the mass-consistent model produced a valid result in that the relation between the underlying topography and wind field features was sufficiently represented by introducing the genetic algorithm.

Original languageEnglish
Pages (from-to)403-418
Number of pages16
JournalJournal of the Faculty of Agriculture, Kyushu University
Issue number3-4
Publication statusPublished - Feb 1 2000

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Agronomy and Crop Science


Dive into the research topics of 'Introduction of a genetic algorithm to a mass-consistent model'. Together they form a unique fingerprint.

Cite this