Real-time prediction of urban-scale rainfall by use of a two-dimensional stochastic convection-diffusion model

A. Kawamura, K. Jinno, R. Berndtsson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

Presents a two-dimensional stochastic convection-diffusion model for use in real-time prediction of the space-time rainfall structure in urban areas. The model is used to parameterize the rainfall intensity from individual rain cells. Especially, we are interested to quantify the rainfall intensity resulting from different separable components of the rain cell. This is done by a Lagrangian approach and dividing the rain from one cell into rainfall resulting from apparent turbulent diffusion and development/decay as a consequence of cell morphological changes. The results can be used as first choice of parameter values when modeling rain cell movement over ungaged areas and the presented methodology can be used to study the effects of different cell components on rainfall intensity. (Authors)

Original languageEnglish
Title of host publicationStochastic Hydraulics '92
Subtitle of host publicationProceedings of the Sixth IAHR International Symposium on Stochastic Hydraulics Held at Taipei, May 18-20, 1992
Pages751-758
Number of pages8
Publication statusPublished - 1992
Externally publishedYes

Subject classification (UKÄ)

  • Meteorology and Atmospheric Sciences

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