eprintid: 10174912
rev_number: 15
eprint_status: archive
userid: 699
dir: disk0/10/17/49/12
datestamp: 2023-08-09 07:29:19
lastmod: 2024-11-01 07:10:11
status_changed: 2023-08-09 07:29:19
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Northrop, Paul J
title: Stochastic models of rainfall
ispublished: pub
divisions: UCL
divisions: B04
divisions: C06
divisions: F61
keywords: Climate change, flood risk assessment, point process, Poisson cluster process, stochastic-mechanistic model, stochastic rainfall generation
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: Rainfall is the main input to most hydrological systems. To assess flood risk
for a catchment area, hydrologists use models that require long series of subdaily, perhaps even subhourly, rainfall data, ideally from locations that cover
the area. If historical data are not sufficient for this purpose, an alternative
is to simulate synthetic data from a suitably calibrated model. We review
stochastic models that have a mechanistic structure, intended to mimic physical features of the rainfall processes, and are constructed using stationary
point processes.We describe models for temporal and spatial-temporal rainfall and consider how they can be fitted to data. We provide an example
application using a temporal model and an illustration of data simulated from
a spatial-temporal model.We discuss how these models can contribute to the
simulation of future rainfall that reflects our changing climate.
date: 2024-03
date_type: published
publisher: Annual Reviews Inc.
official_url: https://doi.org/10.1146/annurev-statistics-040622-023838
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2043673
doi: 10.1146/annurev-statistics-040622-023838
lyricists_name: Northrop, Paul
lyricists_id: PJNOR32
actors_name: Northrop, Paul
actors_id: PJNOR32
actors_role: owner
full_text_status: public
publication: Annual Review of Statistics and Its Application
volume: 11
pagerange: 1-27
issn: 2326-8298
citation:        Northrop, Paul J;      (2024)    Stochastic models of rainfall.                   Annual Review of Statistics and Its Application , 11    pp. 1-27.    10.1146/annurev-statistics-040622-023838 <https://doi.org/10.1146/annurev-statistics-040622-023838>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10174912/1/StochasticModelsOfRainfall.pdf