Precipitation by Epidemiological Week in Bogota, Colombia, 1981-2022

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/.

This dataset contains precipitation data aggregated by epidemiological week for Bogota, Colombia, 1981-2022. CHIRPS (https://developers.google.com/earth-engine/datasets/catalog/UCSBCHG_CHIRPS_DAILY) 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. CHIRPS data is generated by the Climate Hazards Group from the University of California, Santa Barbara. This dataset contains total, mean, minimum and maximum rainfall in mm averaged per epidemiological week.

Data cleaning included: (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.

本数据集隶属于ESCALA项目（拉丁美洲非正式定居点城市健康与气候变化研究，Study of Urban Health and Climate Change in Informal Settlements in Latin America），该项目由子午线研究所（Meridian Institute）的拉库纳基金（Lacuna Fund）资助，资助网址为https://lacunafund.org/。

本数据集包含1981年至2022年哥伦比亚波哥大按流行病学周聚合的降水数据。CHIRPS（https://developers.google.com/earth-engine/datasets/catalog/UCSBCHG_CHIRPS_DAILY）是一套全球降水数据集，空间分辨率为0.05°（约5公里），时间分辨率为逐日，数据覆盖时段为1981年至今，由加州大学圣巴巴拉分校气候灾害研究组（Climate Hazards Group）生成。本数据集包含按流行病学周平均计算的总降水量、平均降水量、最小降水量与最大降水量（单位：毫米）。

数据清洗流程如下：(1) 原始数据采用NETCDF（.nc）格式，该格式为多维数据格式。研究人员对数据进行处理并转换为分号（;）分隔的表格格式，同时计算得到各流行病学周的总降水量、最小降水量、平均降水量与最大降水量，此外还新增了降雨日数变量，用于表征各流行病学周内出现降水的天数。(2) 变量LAT与LON分别代表每个像素中心点的地理位置。