Abstract
The MS Excel file with VBA (Visual Basic for Application) macros named STORAGE (STOchastic RAinfall GEnerator) is introduced herein. STORAGE is a temporal stochastic simulator aiming at generating long and high-resolution rainfall time series, and it is based on the implementation of a Neymann–Scott Rectangular Pulse (NSRP) model. STORAGE is characterized by two innovative aspects. First, its calibration (i.e., the parametric estimation, on the basis of available sample data, in order to better reproduce some rainfall features of interest) is carried out by using data series (annual maxima rainfall, annual and monthly cumulative rainfall, annual number of wet days) which are usually longer than observed high-resolution series (that are mainly adopted in literature for the calibration of other stochastic simulators but are usually very short or absent for many rain gauges). Second, the seasonality is modelled using series of goniometric functions. This approach makes STORAGE strongly parsimonious with respect to the use of monthly or seasonal sets for parameters. Applications for the rain gauge network in the Calabria region (southern Italy) are presented and discussed herein. The results show a good reproduction of the rainfall features which are mainly considered for usual hydrological purposes.
Highlights
Many hydrological applications, mainly related to small and ungauged catchments that are characterized by a short response time of runoff to rainfall, require the use of continuous rainfall time series at high resolutions [1]
The developed STORAGE software constitutes a very useful user-friendly tool for generating long rainfall time series at high resolutions, which could be applied as input data in many hydrological analyses, such as in the continuous rainfall-runoff modeling
Unical.it/storage, is currently suitable for the reproduction of rainfall series which exhibit a clear EV1 behaviour in terms of Annual Maximum Rainfall (AMR) and present values of annual and seasonal precipitation that are typical of the Mediterranean area
Summary
Mainly related to small and ungauged catchments that are characterized by a short response time of runoff to rainfall, require the use of continuous rainfall time series at high resolutions [1]. The model calibration is carried out by using summary statistics from annual maxima rainfall (AMR), annual / monthly cumulative rainfall, and annual number of wet days, which are usually longer than continuous observed high-resolution series (mainly adopted for SRG calibration but typically very short or absent in many locations) In this way, the SRG generates 1 min or 5 min continuous rainfall series which present, at coarser resolutions, summary statistics which are comparable with those of the above-mentioned sample data; the seasonality is modelled by using series of goniometric functions. The SRG generates 1 min or 5 min continuous rainfall series which present, at coarser resolutions, summary statistics which are comparable with those of the above-mentioned sample data; the seasonality is modelled by using series of goniometric functions This approach makes STORAGE more parsimonious with respect to the use of monthly or seasonal sets for parameters.
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