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Article

STORAGE (STOchastic RAinfall GEnerator): A User-Friendly Software for Generating Long and High-Resolution Rainfall Time Series

by
Davide Luciano De Luca
1,* and
Andrea Petroselli
2
1
Department of Informatics, Modelling, Electronics and System Engineering, University of Calabria, 87036 Arcavacata di Rende, Italy
2
Department of Economics, Engineering, Society and Business Organization (DEIM), Tuscia University, 01100 Viterbo, Italy
*
Author to whom correspondence should be addressed.
Hydrology 2021, 8(2), 76; https://doi.org/10.3390/hydrology8020076
Submission received: 8 April 2021 / Revised: 28 April 2021 / Accepted: 29 April 2021 / Published: 3 May 2021
(This article belongs to the Special Issue Advances in Modelling of Rainfall Fields)

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.
Keywords: rainfall generator; stochastic processes; STORAGE; VBA macros in Excel rainfall generator; stochastic processes; STORAGE; VBA macros in Excel

Share and Cite

MDPI and ACS Style

De Luca, D.L.; Petroselli, A. STORAGE (STOchastic RAinfall GEnerator): A User-Friendly Software for Generating Long and High-Resolution Rainfall Time Series. Hydrology 2021, 8, 76. https://doi.org/10.3390/hydrology8020076

AMA Style

De Luca DL, Petroselli A. STORAGE (STOchastic RAinfall GEnerator): A User-Friendly Software for Generating Long and High-Resolution Rainfall Time Series. Hydrology. 2021; 8(2):76. https://doi.org/10.3390/hydrology8020076

Chicago/Turabian Style

De Luca, Davide Luciano, and Andrea Petroselli. 2021. "STORAGE (STOchastic RAinfall GEnerator): A User-Friendly Software for Generating Long and High-Resolution Rainfall Time Series" Hydrology 8, no. 2: 76. https://doi.org/10.3390/hydrology8020076

APA Style

De Luca, D. L., & Petroselli, A. (2021). STORAGE (STOchastic RAinfall GEnerator): A User-Friendly Software for Generating Long and High-Resolution Rainfall Time Series. Hydrology, 8(2), 76. https://doi.org/10.3390/hydrology8020076

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