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<https://discovery.ucl.ac.uk/id/eprint/10174912> <http://purl.org/dc/terms/title> "Stochastic models of rainfall"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10174912> <http://purl.org/ontology/bibo/abstract> "Rainfall is the main input to most hydrological systems. To assess flood risk\r\nfor a catchment area, hydrologists use models that require long series of subdaily, perhaps even subhourly, rainfall data, ideally from locations that cover\r\nthe area. If historical data are not sufficient for this purpose, an alternative\r\nis to simulate synthetic data from a suitably calibrated model. We review\r\nstochastic models that have a mechanistic structure, intended to mimic physical features of the rainfall processes, and are constructed using stationary\r\npoint processes.We describe models for temporal and spatial-temporal rainfall and consider how they can be fitted to data. We provide an example\r\napplication using a temporal model and an illustration of data simulated from\r\na spatial-temporal model.We discuss how these models can contribute to the\r\nsimulation of future rainfall that reflects our changing climate."^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10174912> <http://purl.org/dc/terms/date> "2024-03" .
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