Articles | Volume 27, issue 21
https://doi.org/10.5194/hess-27-3957-2023
https://doi.org/10.5194/hess-27-3957-2023
Research article
 | 
08 Nov 2023
Research article |  | 08 Nov 2023

A semi-parametric hourly space–time weather generator

Ross Pidoto and Uwe Haberlandt

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Latest update: 23 Nov 2024
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Short summary
Long continuous time series of meteorological variables (i.e. rainfall, temperature) are required for the modelling of floods. Observed time series are generally too short or not available. Weather generators are models that reproduce observed weather time series. This study extends an existing station-based rainfall model into space by enforcing observed spatial rainfall characteristics. To model other variables (i.e. temperature) the model is then coupled to a simple resampling approach.