Direct Sampling for Spatially Variable Extreme Event Generation in Resampling‐Based Stochastic Weather Generators

Direct Sampling for Spatially Variable Extreme Event Generation in Resampling‐Based Stochastic Weather Generators

Abstract Resampling‐based weather generators simulate new time series of weather variables by reordering the observed values such that the statistics of the simulated data are consistent with the observed ones. These generators are fully data‐driven, easy to implement, and capable of reproducing the...

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Bibliographic Details
Main Authors: Jorge Guevara, Maria Garcia, Priscilla Avegliano, Debora Lima, Dilermando Queiroz, Maysa Macedo, Leonardo Tizzei, Daniela Szwarcman, Bianca Zadrozny, Campbell Watson, Anne Jones
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-11-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
direct sampling
extreme weather
weather generator
quantile mapping
return periods
extreme precipitation
Online Access:https://doi.org/10.1029/2022MS003542

Internet

https://doi.org/10.1029/2022MS003542

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