Cleaned Weather Dataset for Uganda

Weather data is of great importance to the development of weather prediction models. However, the availability and quality of this data remain scarce for most researchers around the world. In Uganda, obtaining observational weather data for most parts of the country is very challenging due to the sparse distribution of weather stations and inconsistent data records. This has created critical gaps in data availability to run and develop efficient weather prediction models. To bridge this gap, we obtained country-specific time series hourly observational weather data. The data period is from 2020 to 2022 of 11 weather stations distributed in the four regions of Uganda. The data was accessed from the Ogimet data repository using the “climate” R-package in the R programming language environment. The automated procedures in the R-package allowed us to download user-defined data at a time resolution from an hourly to an annual basis. However, the raw data acquired could not be used to learn rainfall patterns because it included duplicates and non-uniform data. In order to anticipate the amount of short-term rainfall in locations with climatic conditions similar to Uganda, we therefore present a prepared and cleaned dataset.