
doi: 10.2208/prohe.52.331
A nonlinear effect ofnon-orographic rainfall on orographic rainfall is introduced into a short-term rainfall predictionmethod which uses Tatehira's orographic rainfall model. In the previous paper, orographic rainfall is assumed tobe simply proportional to non-orographic rainfall. In the seeder-feeder mechanism, which is themost importantpart in the generation of orographic rainfall, ratio of capturingcloud drops by raindrops (by non-orographic rainfall) c is taking a vital role. However, c is not proportional to the non-or0graphic rainfall intensity. In this paper, therefore, c is assumed to be anonlinear function in terms of the non-orographic rainfall and a method ofsolving simultaneous equationscomposed of the nonlinear function and theconservation equation of clouddrop is proposed. As a result, it is found that, when the nonlinear effect is taken into account, computedorographic rainfall becomesmuch smaller and that assumed depth of atmospheric layer ofhundred meters is not enough. Therefore, the computation method is further modified so thatorographic rainfall can be generated frommulti layers.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
