Complexities in calculating average wind direction and speed are among the motivations behind this project. These complexities along with the scarcity of a dedicated software tool to perform statistical computations on wind direction and speed data have made climate analysts do the work largely manually. All processes involving cleaning of data, rearranging and reformatting data, and calculating averages are done using Microsoft Excel. Yes, Excel gets the job done but given the magnitude and bulkiness of these data, the process becomes so tedious, consumes a lot of time, but most importantly it gives a very wide room for the introduction of errors in the data which is critical issue for these type of data. A similar experience can be observed for other weather elements such rainfall, temperature, humidity, sunshine, wind speed and direction.
This research project applies data science and big data analytics concepts to analyse and visualise weather data collected by the Tanzania Metrological Agency (TMA) in a way that will make them useful for different production and development purposes.
The project is lead by Mr Abdul-razak Adam as the principal investigator under the supervision of Dr Juma Lungo.