Examinando por Autor "Vidal-Silva, Cristian"

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  • Miniatura
    Ítem
    A Sub-Hourly Precipitation Dataset from a Pluviographic Network in Central Chile
    (MDPI, 2025-06-22) Sangüesa, Claudia; Ibañez, Alfredo; Pizarro, Roberto; Vidal-Silva, Cristian; Garcia-Chevesich, Pablo; Mendoza, Romina; Toledo, Cristóbal; Pino, Juan; Paredes, Rodrigo; Ingram, Ben
    This data descriptor presents a unique high-resolution rainfall dataset derived from 14 pluviograph stations across central Chile’s Mediterranean region, covering variable peri- ods 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 inten- sity, 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 precipi- tation 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.
  • Miniatura
    Ítem
    Wildfire Occurrence and Damage Dataset for Chile (1985–2024): A Real Data Resource for Early Detection and Prevention Systems
    (MDPI, 2025-06-20) Vidal-Silva, Cristian; Pizarro, Roberto; Castillo-Soto, Miguel; De la Fuente, Claudia; Duarte, Vannessa; Sangüesa, Claudia; Ibañez, Alfredo; Paredes, Rodrigo; Ingram, Ben
    Wildfires represent an increasing global concern, threatening ecosystems, human settle- ments, and economies. Chile, characterized by diverse climatic zones and extensive forested areas, has been particularly vulnerable to wildfire events over recent decades. In this con- text, real, long-term data are essential to understand wildfire dynamics and to design effective early warning and prevention systems. This paper introduces a unique dataset containing detailed wildfire occurrence and damage information across Chilean municipal- ities from 1985 to 2024. Derived from official records by the National Forestry Corporation of Chile CONAF, this dataset encompasses key variables such as the number of fires, to- tal burned area, estimated material damages, and the number of affected individuals. It provides an invaluable resource for researchers and policymakers aiming to improve fire risk assessments, model fire behavior, and develop AI-driven early detection systems. The temporal span of nearly four decades offers opportunities for longitudinal analyses, the study of climate change impacts on fire regimes, and the evaluation of historical prevention strategies. Furthermore, by presenting a complete spatial coverage at the municipal level, it allows fine-grained assessments of regional vulnerabilities and resilience.