Dataset
Weekly Precipitation from CHIRPS for Barranquilla, Colombia, 1981-2022
2025
Abstract
This dataset is part of the ESCALA (Study of Urban Health and Climate Change in Informal Settlements in Latin America) project that was funded by the Lacuna Fund of the Meridian Institute https://lacunafund.org/.
CHIRPS (Climate Hazards Group InfraRed Precipitation with Station, https://www.chc.ucsb.edu/data/chirps) is a global precipitation dataset with a spatial resolution of 0.05° (approximately 5 km) that provides information from 1981 to the present, with daily temporal resolution. This dataset contains total, mean, minimum and maximum rainfall in mm averaged per epidemiological week.
Each instance represents one epidemiological week with its respective sum, minimum, average and maximum rainfall, and number of rainy days.
1. The original data are in NETCDF (.nc) format, which is a multidimensional data format. The data were processed and converted into a tabular format, separated by semicolons (;). The total precipitation, as well as the minimum, average, and maximum precipitation values per epidemiological week were calculated. The number of rainy days was also added, indicating the number of days with rainfall in each epidemiological week.
2. The variables LAT and LON indicate the location of the center of each pixel.
Metrics
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Details
- Title
- Weekly Precipitation from CHIRPS for Barranquilla, Colombia, 1981-2022
- Creators
- Alex Quistberg - Drexel UniversityOlga Lucia Sarmiento - Universidad de Los AndesNatalia Hoyos Botero - Universidad del Norte
- Publisher
- Harvard Dataverse
- Grant note
- 0000000049 / Lacuna Fund
- Resource Type
- Dataset
- Language
- English
- Academic Unit
- Urban Health Collaborative; Environmental and Occupational Health
- Other Identifier
- 991022028234204721