Local generalised method of moments: an application to point process-based rainfall models.

ABSTRACT: Long series of simulated rainfall are required at point locations for a range of applications, including hydrological studies. Clustered point process-based rainfall models have been used for generating such simulations for many decades. These models suffer from a major limitation, however: their stationarity. Although seasonality can be allowed by fitting separate models for each calendar month or season, the models are unsuitable in their basic form for climate impact studies. In this paper, we develop new methodology to address this limitation. We extend the current fitting approach by allowing the discrete covariate, calendar month, to be replaced or supplemented with continuous covariates that are more directly related to the incidence and nature of rainfall. The covariate-dependent m

SUBMITTER: Kaczmarska JM 

PROVIDER: S-EPMC4975607 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature