Stochastic Simulation of Nonstationary Rainfall Fields, Accounting for Seasonality and Atmospheric Circulation Pattern Evolution

Gonzalo Sapriza Azuri, Jorge Jódar, Jesús Carrera, Hoshin Vijai Gupta

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)621-645
Number of pages25
JournalMathematical Geosciences
Volume45
Issue number5
DOIs
StatePublished - Jul 2013

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Seasonality
Stochastic Simulation
Rainfall
atmospheric circulation
seasonality
rainfall
simulation
Nonstationarity
Water Resources
Topography
water resource
topography
orographic effect
hydrological modeling
Random Function
Spatial Pattern
Climate Change
Gaussian Process
Model
Random Field

Keywords

  • Atmospheric circulation
  • Downscaling
  • Non-stationarity
  • Rainfall

ASJC Scopus subject areas

  • Mathematics (miscellaneous)
  • Earth and Planetary Sciences(all)

Cite this

Stochastic Simulation of Nonstationary Rainfall Fields, Accounting for Seasonality and Atmospheric Circulation Pattern Evolution. / Sapriza Azuri, Gonzalo; Jódar, Jorge; Carrera, Jesús; Gupta, Hoshin Vijai.

In: Mathematical Geosciences, Vol. 45, No. 5, 07.2013, p. 621-645.

Research output: Contribution to journalArticle

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