Back to Search
Start Over
Multi-site doubly stochastic Poisson process models for fine-scale rainfall.
- Source :
-
Stochastic Environmental Research & Risk Assessment . Aug2013, Vol. 27 Issue 6, p1383-1396. 14p. 4 Charts, 6 Graphs. - Publication Year :
- 2013
-
Abstract
- We consider a class of doubly stochastic Poisson process models in the modelling of fine-scale rainfall at multiple gauges in a dense network. Multi-site stochastic point process models are constructed and their likelihood functions are derived. The application of this class of multi-site models, a useful alternative to the widely-known Poisson cluster models, is explored to make inferences about the properties of fine time-scale rainfall. The proposed models, which incorporate covariate information about the catchment area, are used to analyse tipping-bucket raingauge data from multiple sites. The results show the potential of this class of models to reproduce temporal and spatial variability of fine time-scale rainfall characteristics. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14363240
- Volume :
- 27
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Stochastic Environmental Research & Risk Assessment
- Publication Type :
- Academic Journal
- Accession number :
- 88936586
- Full Text :
- https://doi.org/10.1007/s00477-012-0674-x