A Sub-Hourly Precipitation Dataset from a Pluviographic Network in Central Chile

Claudia Sangüesa, Alfredo Ibañez, Roberto Pizarro, Cristian Vidal-Silva, Pablo Garcia-Chevesich, Romina Mendoza, Cristóbal Toledo, Juan Pino, Rodrigo Paredes and Ben Ingram ()
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Claudia Sangüesa: Cátedra UNESCO de Hidrología Superficial, Universidad de Talca, Talca 3467769, Chile
Alfredo Ibañez: Cátedra UNESCO de Hidrología Superficial, Universidad de Talca, Talca 3467769, Chile
Roberto Pizarro: Cátedra UNESCO de Hidrología Superficial, Universidad de Talca, Talca 3467769, Chile
Cristian Vidal-Silva: Departamento de Visualización Interactiva y Realidad Virtual, Facultad de Ingeniería, Universidad de Talca, Talca 3467769, Chile
Pablo Garcia-Chevesich: Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO 80401, USA
Romina Mendoza: Cátedra UNESCO de Hidrología Superficial, Universidad de Talca, Talca 3467769, Chile
Cristóbal Toledo: Cátedra UNESCO de Hidrología Superficial, Universidad de Talca, Talca 3467769, Chile
Juan Pino: Dirección de Transferencia Tecnológica, Universidad Tecnológica Metropolitana, Santiago 8330367, Chile
Rodrigo Paredes: Facultad de Ingeniería, Universidad Finis Terrae, Providencia 7501014, Chile
Ben Ingram: Departamento de Visualización Interactiva y Realidad Virtual, Facultad de Ingeniería, Universidad de Talca, Talca 3467769, Chile

Data, 2025, vol. 10, issue 7, 1-17

Abstract: This data descriptor presents a unique high-resolution rainfall dataset derived from 14 pluviograph stations across central Chile’s Mediterranean region, covering variable periods starting from between 1969 and 1992, up to 2009. The dataset provides continuous precipitation records at a 5 min temporal resolution, obtained through the digitization and processing of pluviograph strip charts using specialized software. This high temporal resolution is unprecedented for the region and enables detailed analysis of rainfall intensity, duration, and frequency patterns critical for hydrological research, climate studies, and water resource management in general. Each station’s data was subjected to quality control procedures, including manual validation and correction of digitization errors to ensure data integrity. The dataset reveals the significant temporal variability of rainfall in central Chile, capturing both short-duration high-intensity events and longer precipitation patterns. By making this dataset publicly available, we provide researchers with a valuable resource for studying rainfall behavior in a Mediterranean climate zone subject to significant climate variability and change. The dataset supports various applications, including the development of intensity–duration–frequency curves, analysis of rainfall erosivity, calibration of hydrological models, and investigation of precipitation trends in the context of climate change.

Keywords: high-resolution rainfall; temporal resolution; pluviograph; data digitization; central Chile (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
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