To access the full text documents, please follow this link: http://hdl.handle.net/2117/20256

Stochastic simulation of nonstationary rainfall fields, accounting for seasonality and atmospheric circulation pattern evolution
Sapriza Azuri, Gonzalo; Jódar Bermúdez, Jorge; Carrera Ramírez, Jesús; Gupta, Hoshin Vijai
Universitat Politècnica de Catalunya. Departament d'Enginyeria del Terreny, Cartogràfica i Geofísica; Universitat Politècnica de Catalunya. GHS - Grup d'Hidrologia Subterrània
A model for generating daily spatial correlated rainfall fields suitable for evaluating the impacts of climate change on water resources is presented. The model, termed Stochastic Rainfall Generating Process, is designed to incorporate two major nonstationarities: changes in the frequencies of different precipitation generating mechanisms (frontal and convective), and spatial nonstationarities caused by interactions of mesoscale atmospheric patterns with topography (orographic effects). These nonstationarities are approximated as discrete sets of the time-stationary Stochastic Rainfall Generating Process, each of which represents the different spatial patterns of rainfall (including its variation with topography) associated with different atmospheric circulation patterns and times of the year (seasons). Each discrete Stochastic Rainfall Generating Process generates daily correlated rainfall fields as the product of two random fields. First, the amount of rainfall is generated by a transformed Gaussian process applying sequential Gaussian simulation. Second, the delimitation of rain and no-rain areas (intermittence process) is defined by a binary random function simulated by sequential indicator simulations. To explore its applicability, the model is tested in the Upper Guadiana Basin in Spain. The result suggests that the model provides accurate reproduction of the major spatiotemporal features of rainfall needed for hydrological modeling and water resource evaluations. The results were significantly improved by incorporating spatial drift related to orographic precipitation into the model.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Hidrologia
Stochastic Rainfall Generating Process
Rain and rainfall -- Mathematical models
Geo-stochastic rainfall generating process
Atmospheric circulation
Downscaling
Non-stationarity
Rainfall
Tempestes -- Models matemàtics
info:eu-repo/semantics/publishedVersion
Article
         

Show full item record

Related documents

Other documents of the same author

Sapriza Azuri, Gonzalo; Jódar Bermúdez, Jorge; Gupta, Hoshi V.; Carrera Ramírez, Jesús
Jurado Elices, Anna; Bolster, Diogo; Pujades Garnes, Estanislao; Vázquez Suñé, Enric; Carrera Ramírez, Jesús
Gran, Meritxell; Massana, Jordi; Carrera Ramírez, Jesús; Saaltink, Maarten Willem; Olivella Pastallé, Sebastià; Ayora Ibáñez, Carlos; Lloret Morancho, Antonio
Gaspari, Francesca de; Saaltink, Maarten Willem; Carrera Ramírez, Jesús; Slooten, Luit Jan
Vilarrasa Riaño, Víctor; Olivella Pastallé, Sebastià; Carrera Ramírez, Jesús
 

Coordination

 

Supporters