2021
DOI: 10.1016/j.dib.2021.107592
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Missing data estimation in extreme rainfall indices for the Metropolitan area of Cali - Colombia: An approach based on artificial neural networks

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Cited by 6 publications
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“…According to this, the methodology most appropriate to the case study area (Bucaramanga, Colombia), was based on the following criteria: The chosen method is not strictly applied for areas with a diversity of climatic seasons, due to the proximity to the Equator line in which the monitoring was carried out. [18]. Of equal importance, the method must include the main monitored study variables such as temperature and relative humidity, which influence the thermal sensation of a given area.…”
Section: Heat Index and Thermal Sensationmentioning
confidence: 99%
“…According to this, the methodology most appropriate to the case study area (Bucaramanga, Colombia), was based on the following criteria: The chosen method is not strictly applied for areas with a diversity of climatic seasons, due to the proximity to the Equator line in which the monitoring was carried out. [18]. Of equal importance, the method must include the main monitored study variables such as temperature and relative humidity, which influence the thermal sensation of a given area.…”
Section: Heat Index and Thermal Sensationmentioning
confidence: 99%