Repository logo
Log In(current)
  1. Home
  2. Prodotti della ricerca
  3. A. Contributo su rivista
  4. A1. Articolo in rivista
  5. ARNO-RAIN: a comprehensive dataset of observed (20 years) and simulated (2000 years) sub-hourly rainfall series for 70 rain gauges

ARNO-RAIN: a comprehensive dataset of observed (20 years) and simulated (2000 years) sub-hourly rainfall series for 70 rain gauges

Author(s)
Cappelli, Francesco  
Petroselli, Andrea  
Grimaldi, Salvatore  
Date Issued
August 4, 2026
Type
article
DOI
10.1038/s41597-026-07991-w
Journal
Scientific Data  
Abstract
ARNO-RAIN, a benchmark dataset of observed and simulated rainfall time series for 70 rain gauges in the Arno River basin (central Italy), is here presented. For each station, the dataset includes: (i) 20 years of continuous 15-minute and daily rainfall observations; (ii) a 2000-year synthetic daily rainfall series generated using the CoSMoS-2s stochastic model; and (iii) a corresponding 2000-year synthetic 15-minute series obtained by multifractal canonical disaggregation calibrated against observed intensity–duration–frequency curves. The integrated modelling framework enables the generation of sub-daily rainfall series from daily data. While ARNO-RAIN is specific to the Arno River basin, the approach can be transferred to other regions with similar data availability. ARNO-RAIN is a reproducible, well-documented, and openly accessible dataset designed to support benchmarking, evaluation, and intercomparison of stochastic rainfall generators and disaggregation methods. The dataset is complemented by station metadata and validation notebooks to enhance transparency and support reproducible research.
Handle
https://dspace.unitus.it/handle/2067/73636
File(s)
Thumbnail Image
Name

s41597-026-07991-w_reference (1).pdf

Size

1.07 MB

Format

Adobe PDF

Checksum (MD5)

f7fb82b6ea16965ebb92d6c83f9543a7

Metrics

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify