One approach in the stochastic modelling of rainfall is to derive a distribution function which has physically meaningful parameters. Such a distribution is derived from a Poisson process of rainfall occurrence with an independent exponentially distributed rainfall amount. The distribution appears t
The assignment of Rainfall stations into homogeneous groups: An application of principal component analysis
✍ Scribed by T. G. J. Dyer
- Publisher
- John Wiley and Sons
- Year
- 1975
- Tongue
- English
- Weight
- 694 KB
- Volume
- 101
- Category
- Article
- ISSN
- 0035-9009
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
The calculation of eigenvectors has been used to describe annual precipitation totals over an area of large extent. Rotation of the eigenvectors brought about further clarification of the system of recording stations. By noting the eigenvector of most importance to each station, delimitation of an area was made possible. Reduction in records, a necessary prelude to our future work on forecasting models, was obtained by discarding those stations most closely related to eigenvectors whose eigenvalue was less than 0·6.
📜 SIMILAR VOLUMES
We are grateful to Dr Jones for his commentary (Jones, 1985) and the opportunity to reply. Dr Jones has drawn attention to apparent flaws in the methodology presented by Thompson (1984). However in the context for which the methodology was advocated he may not have carried out similar tests on the '
## Abstract ^13^C NMR shifts of 54 chalcones and their thiophene and furan analogues are analyzed by principal component analysis. Thus, a mathematical model is derived for the variation of the carbon shifts in each of seven classes. Two component models are found to be adequate by cross‐validation