𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Evaluation of rainfall networks using entropy: II. Application

✍ Scribed by P. F. Krstanovic; V. P. Singh


Book ID
104985201
Publisher
Springer Netherlands
Year
1992
Tongue
English
Weight
938 KB
Volume
6
Category
Article
ISSN
0920-4741

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Rainfall network design using kriging an
✍ Yen-Chang Chen; Chiang Wei; Hui-Chung Yeh πŸ“‚ Article πŸ“… 2008 πŸ› John Wiley and Sons 🌐 English βš– 184 KB

## Abstract The spatial distribution of rainfall is related to meteorological and topographical factors. An understanding of the weather and topography is required to select the locations of the rain gauge stations in the catchment to obtain the optimum information. In theory, a well‐designed rainf

An application of artificial neural netw
✍ Kin C. Luk; J.E. Ball; A. Sharma πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 963 KB

Rainfall forecasting ia important for many catchment management applications, in particular for flood warning systems. The variability of rainfall in spsce and time, howeve r, renders quantitative forecasting of rainfall extremely difIicult. The depth of rainfall and its diiribution in the temporal

Classification of rainfall variability b
✍ Silas Chr. Michaelides; Constantinos S. Pattichis; Georgia Kleovoulou πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 769 KB

## Abstract In this paper, the usefulness of artificial neural networks (ANNs) as a suitable tool for the study of the medium and long‐term climatic variability is examined. A method for classifying the inherent variability of climatic data, as represented by the rainfall regime, is investigated. T