Abstract
A new method for modelling the dynamics of rain sampled by a
tipping bucket rain gauge is proposed. The considered models
belong to the class of integer valued autoregressive processes.
The models take the autocorelation and discrete nature of the data
into account. A first order, a second order and a threshold model
are presented together with methods to estimate the parameters of
each model. The models are demonstrated to provide a good
description of dt from actual rain events requiring only two to
four parameters.
| Original language | English |
|---|---|
| Journal | Environmetrics |
| Volume | 10 |
| Pages (from-to) | 395-411 |
| Publication status | Published - 1999 |