Taiwan GPM Reflectivity and Precipitation
Session Number
Project ID: ENGN 9
Advisor(s)
Dr. Yadong Wang; Southern Illinois University at Edwardsville
Discipline
Engineering
Start Date
22-4-2020 8:30 AM
End Date
22-4-2020 8:45 AM
Abstract
Although advancements in meteorological technology have made weather prediction increasingly more accurate, it is still one of the more unpredictable sciences. This project worked to develop a more accurate method for weather prediction using the data gathered by NASA’s GPM (Global Precipitation Measurement) satellite in the Taiwan region. To do so, the Ku-band and Ka-band Taiwan radar data from the GPM satellite was graphed and analyzed using MATLAB to find correlations with which a more accurate weather prediction algorithm could be developed. The results from the analysis performed throughout this project confirm the previously identified correlations between the reflectivity at different levels of the atmosphere and the type of precipitation. Along with the type of precipitation, the severity of the storms could also be accurately predicted. Although an improved algorithm was not developed through the research thus far, the project has proved the accuracy of the current models and precipitation analysis methods to be among the forerunners of modern meteorological technology.
Taiwan GPM Reflectivity and Precipitation
Although advancements in meteorological technology have made weather prediction increasingly more accurate, it is still one of the more unpredictable sciences. This project worked to develop a more accurate method for weather prediction using the data gathered by NASA’s GPM (Global Precipitation Measurement) satellite in the Taiwan region. To do so, the Ku-band and Ka-band Taiwan radar data from the GPM satellite was graphed and analyzed using MATLAB to find correlations with which a more accurate weather prediction algorithm could be developed. The results from the analysis performed throughout this project confirm the previously identified correlations between the reflectivity at different levels of the atmosphere and the type of precipitation. Along with the type of precipitation, the severity of the storms could also be accurately predicted. Although an improved algorithm was not developed through the research thus far, the project has proved the accuracy of the current models and precipitation analysis methods to be among the forerunners of modern meteorological technology.